corpus.blog
41554 blogs · [ { "id": "01a087d0-b524-7007-8035-1be364d2dbe8", "title": "Same model, better shape: why centering improves MCMC", "url": "https://www.rdatagen.net/post/2026-03-31-centering-binary-predictors-can-improve-bayesian-computation/", "published_at": "2026-03-30T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be364f34b59", "title": "Getting to the bottom of TMLE: targeting in action", "url": "https://www.rdatagen.net/post/2026-03-18-getting-to-the-bottom-of-tmle-targeting-in-action/", "published_at": "2026-03-18T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be3654d8c5c", "title": "Getting to the bottom of TMLE: forcing the target to behave", "url": "https://www.rdatagen.net/post/2026-03-10-getting-to-the-bottom-of-tmle-2/", "published_at": "2026-03-09T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be366022254", "title": "Getting to the bottom of TMLE: the (almost) vanishing nuisance interaction", "url": "https://www.rdatagen.net/post/2026-03-03-getting-to-the-bottom-of-tmle-simulating-the-orthogonality/", "published_at": "2026-03-02T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be366fc9728", "title": "Getting to the bottom of TMLE: influence functions and perturbations", "url": "https://www.rdatagen.net/post/2026-02-05-getting-to-the-bottom-of-tmle-1/", "published_at": "2026-02-05T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36788e414", "title": "A new simstudy function to make simulating replications easier", "url": "https://www.rdatagen.net/post/2025-10-07-scenario-list-facilitating-simulation-replications/", "published_at": "2025-10-07T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36807159f", "title": "Planning for a 3-arm cluster randomized trial with a nested intervention and a time-to-event outcome", "url": "https://www.rdatagen.net/post/2025-05-20-planning-for-a-three-arm-trial-with-a-nested-intervention/", "published_at": "2025-05-20T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36890ea06", "title": "Bayesian proportional hazards model for a stepped-wedge design", "url": "https://www.rdatagen.net/post/2025-04-01-bayesian-proportional-hazards-model-for-a-stepped-wedge-design/", "published_at": "2025-04-01T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be3691fbae1", "title": "A Bayesian proportional hazards model for a cluster randomized trial", "url": "https://www.rdatagen.net/post/2025-03-25-a-bayesian-proportional-hazards-model-for-a-cluster-randomized-trial/", "published_at": "2025-03-25T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be369f6d3df", "title": "Accounting for ties in a Bayesian proportional hazards model", "url": "https://www.rdatagen.net/post/2025-03-20-bayesian-survival-model-that-can-appropriately-handle-ties/", "published_at": "2025-03-20T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36a697b37", "title": "A Bayesian proportional hazards model with a penalized spline", "url": "https://www.rdatagen.net/post/2025-03-04-a-bayesian-proportional-hazards-model-with-splines/", "published_at": "2025-03-04T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36aa8684a", "title": "Estimating a Bayesian proportional hazards model", "url": "https://www.rdatagen.net/post/2025-02-11-estimating-a-bayesian-proportional-hazards-model/", "published_at": "2025-02-11T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36b336af8", "title": "Thinking about covariates in an analysis of an RCT", "url": "https://www.rdatagen.net/post/2025-01-28-handling-covariates-in-an-analysis-of-an-rct/", "published_at": "2025-01-28T00:00:00+00:00" }, { "id": "01a087d0-b524-7007-8035-1be36b3f6834", "title": "Can ChatGPT help construct non-trivial statistical models? An example with Bayesian \"random\" splines", "url": "https://www.rdatagen.net/post/2024-10-08-can-chatgpt-help-construct-non-trivial-bayesian-models-with-cluster-specific-splines/", "published_at": "2024-10-08T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade4c65dab", "title": "An IV study design to estimate an effect size when randomization is not ethical", "url": "https://www.rdatagen.net/post/2024-09-03-an-instrumental-variable-study-design-to-estimate-an-effect-size-when-randomization-may-not-be-ethical/", "published_at": "2024-09-03T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade560a77c", "title": "Generating binary data by specifying the relative risk, with simulations", "url": "https://www.rdatagen.net/post/2024-07-02-generating-binary-data-by-specifying-relative-risk/", "published_at": "2024-07-02T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade6574415", "title": "simstudy: another way to generate data from a non-standard density", "url": "https://www.rdatagen.net/post/2024-06-04-simstudy-another-way-to-generate-data-from-a-non-standard-density/", "published_at": "2024-06-04T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade7146f88", "title": "simstudy 0.8.0: customized distributions", "url": "https://www.rdatagen.net/post/2024-05-21-simstudy-customized-distributions/", "published_at": "2024-05-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade79a30a1", "title": "simstudy enhancement: specifying idiosyncratic follow-up times for longitudinal data", "url": "https://www.rdatagen.net/post/2024-04-16-simstudy-update-specifying-idiosyncratic-follow-up-times-for-longitudinal-data/", "published_at": "2024-04-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade7cc36c7", "title": "Perfectly balanced treatment arm distribution in a multifactorial CRT using stratified randomization", "url": "https://www.rdatagen.net/post/2024-02-20-ensuring-balance-with-a-cluster-randomized-factorial-design/", "published_at": "2024-02-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade8400507", "title": "A three-arm trial using two-step randomization", "url": "https://www.rdatagen.net/post/2023-12-19-a-three-arm-trial-using-two-step-randomization/", "published_at": "2023-12-19T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade93e5afa", "title": "Creating a nice looking Table 1 with standardized mean differences", "url": "https://www.rdatagen.net/post/2023-09-26-nice-looking-table-1-with-standardized-mean-difference/", "published_at": "2023-09-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade98dadb7", "title": "Finding logistic models to generate data with desired risk ratio, risk difference and AUC profiles", "url": "https://www.rdatagen.net/post/2023-06-20-finding-coefficients-for-logistic-models-that-generate-data-with-desired-characteristics/", "published_at": "2023-06-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ade9dd785f", "title": "A demo of power estimation by simulation for a cluster randomized trial with a time-to-event outcome", "url": "https://www.rdatagen.net/post/2023-05-23-just-a-simple-demo-power-estimates-for-cluster-randomized-trial-with-time-to-event-outcome/", "published_at": "2023-05-23T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adea6b05fd", "title": "Generating variable cluster sizes to assess power in cluster randomized trials", "url": "https://www.rdatagen.net/post/2023-04-18-generating-variable-cluster-sizes-to-assess-power-in-cluster-randomize-trials/", "published_at": "2023-04-18T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adeb3852d4", "title": "Implementing a one-step GEE algorithm for very large cluster sizes in R", "url": "https://www.rdatagen.net/post/2023-03-21-implementing-a-1-step-gee-with-large-cluster-sizes-in-r/", "published_at": "2023-03-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adebda8303", "title": "simstudy 0.6.0 released: more flexible correlation patterns", "url": "https://www.rdatagen.net/post/2023-02-21-flexible-correlation-generation-revisiting-block-matrices-for-temporal-patterns-in-simstudy/", "published_at": "2023-02-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adeca32765", "title": "Flexible correlation generation: an update to genCorMat in simstudy", "url": "https://www.rdatagen.net/post/2023-02-14-flexible-correlation-generation-an-update-to-gencorgen-in-simstudy/", "published_at": "2023-02-14T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66aded0d9564", "title": "A GAM for time trends in a stepped-wedge trial with a binary outcome", "url": "https://www.rdatagen.net/post/2023-01-17-a-gam-model-for-time-trends-in-a-stepped-wedge-trial-with-a-binary-outcome/", "published_at": "2023-01-17T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66aded1e98cb", "title": "Modeling the secular trend in a stepped-wedge design", "url": "https://www.rdatagen.net/post/2022-12-13-modeling-the-secular-trend-in-a-stepped-wedge-design/", "published_at": "2022-12-13T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adee075b12", "title": "Generating clustered data with marginal correlations", "url": "https://www.rdatagen.net/post/2022-11-22-generating-cluster-data-with-marginal-correlations/", "published_at": "2022-11-22T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adeea067d9", "title": "Modeling the secular trend in a cluster randomized trial using very flexible models", "url": "https://www.rdatagen.net/post/2022-11-01-modeling-secular-trend-in-crt-using-gam/", "published_at": "2022-11-01T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adeeffcf54", "title": "Presenting results for multinomial logistic regression: a marginal approach using propensity scores", "url": "https://www.rdatagen.net/post/2022-09-20-presenting-results-for-multinomial-logistic-regression-a-marginal-approach-using-propensity-scores/", "published_at": "2022-09-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adef9c6b76", "title": "Flexible simulation in simstudy with customized distribution functions", "url": "https://www.rdatagen.net/post/2022-08-30-expanding-the-possibilities-of-simulation-in-simstudy-with-customized-distribution-funcdtions/", "published_at": "2022-08-30T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf00bf707", "title": "Simulating data from a non-linear function by specifying a handful of points", "url": "https://www.rdatagen.net/post/2022-08-09-simulating-data-from-a-non-linear-function-by-specifying-some-points-on-the-curve/", "published_at": "2022-08-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf0e8f7cc", "title": "simstudy updated to version 0.5.0", "url": "https://www.rdatagen.net/post/2022-07-20-simstudy-updated-to-version-0-5-0/", "published_at": "2022-07-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf1c99824", "title": "To impute or not: the case of an RCT with baseline and follow-up measurements", "url": "https://www.rdatagen.net/post/2022-04-12-to-impute-or-not-the-case-of-an-rct-with-baseline-and-follow-up-measurements/", "published_at": "2022-04-12T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf26227f5", "title": "Simulating time-to-event outcomes with non-proportional hazards", "url": "https://www.rdatagen.net/post/2022-03-29-simulating-non-proportional-hazards/", "published_at": "2022-03-29T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf26b27ea", "title": "Adding competing risks in survival data generation", "url": "https://www.rdatagen.net/post/2022-03-15-adding-competing-risks-in-survival-data-generation/", "published_at": "2022-03-15T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf2c76723", "title": "Follow-up: simstudy function for generating parameters for survival distribution", "url": "https://www.rdatagen.net/post/2022-02-22-follow-up-simstudy-function-for-generating-parameters-for-survival-distribution/", "published_at": "2022-02-22T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf3aa3d38", "title": "Simulating survival outcomes: setting the parameters for the desired distribution", "url": "https://www.rdatagen.net/post/2022-02-08-simulating-survival-outcomes-setting-the-parameters-for-the-desired-distribution/", "published_at": "2022-02-08T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf4a1fd27", "title": "simstudy update: ordinal data generation that violates proportionality", "url": "https://www.rdatagen.net/post/2022-01-25-simstudy-update-ordinal-data-without-the-proportionality-assumption/", "published_at": "2022-01-25T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf4f3e2b1", "title": "Including uncertainty when comparing response rates across clusters", "url": "https://www.rdatagen.net/post/2022-01-18-including-uncertainty-when-comparing-response-rates-across-clusters/", "published_at": "2022-01-18T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf529546c", "title": "Skeptical Bayesian priors might help minimize skepticism about subgroup analyses", "url": "https://www.rdatagen.net/post/2022-01-04-reducing-the-risk-of-spurious-findings-with-bayesian-decison-rules/", "published_at": "2022-01-04T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf5a03c79", "title": "Controlling Type I error in RCTs with interim looks: a Bayesian perspective", "url": "https://www.rdatagen.net/post/2021-12-21-controling-type-1-error-rates-in-rcts-with-interim-looks-a-bayesian-perspective/", "published_at": "2021-12-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf62099e6", "title": "Exploring design effects of stepped wedge designs with baseline measurements", "url": "https://www.rdatagen.net/post/2021-12-07-exploring-design-effects-of-stepped-wedge-designs-with-baseline-measurements/", "published_at": "2021-12-07T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf71bd587", "title": "The design effect of a cluster randomized trial with baseline measurements", "url": "https://www.rdatagen.net/post/2021-11-23-design-effects-with-baseline-measurements/", "published_at": "2021-11-23T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf7d81379", "title": "simstudy update: adding flexibility to data generation", "url": "https://www.rdatagen.net/post/2021-11-09-simstudy-0-3-0-update-summary/", "published_at": "2021-11-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf7dfb56c", "title": "Sample size requirements for a Bayesian factorial study design", "url": "https://www.rdatagen.net/post/2021-10-26-sample-size-requirements-for-a-factorial-study-design/", "published_at": "2021-10-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf7f1b5bd", "title": "A Bayesian analysis of a factorial design focusing on effect size estimates", "url": "https://www.rdatagen.net/post/2021-10-12-analyzing-a-factorial-design-with-a-bayesian-shrinkage-model/", "published_at": "2021-10-12T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf8df354c", "title": "Analyzing a factorial design by focusing on the variance of effect sizes", "url": "https://www.rdatagen.net/post/2021-09-28-analyzing-a-factorial-trial-with-a-bayesian-model/", "published_at": "2021-09-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf9006980", "title": "Drawing the wrong conclusion about subgroups: a comparison of Bayes and frequentist methods", "url": "https://www.rdatagen.net/post/2021-09-14-drawing-the-wrong-conclusion-a-comparison-of-bayes-and-frequentist-methods/", "published_at": "2021-09-14T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf9053a4a", "title": "Subgroup analysis using a Bayesian hierarchical model", "url": "https://www.rdatagen.net/post/2021-08-31-subgroup-analysis-using-a-bayesian-hierarchical-model/", "published_at": "2021-08-31T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adf9b14ff5", "title": "Posterior probability checking with rvars: a quick follow-up", "url": "https://www.rdatagen.net/post/2021-08-17-quick-follow-up-on-posterior-probability-checks-with-rvars/", "published_at": "2021-08-17T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfa5f2abb", "title": "Fitting your model is only the beginning: Bayesian posterior probability checks with rvars", "url": "https://www.rdatagen.net/post/2021-08-10-fitting-your-model-is-only-the-begining-bayesian-posterior-probability-checks/", "published_at": "2021-08-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfb57add2", "title": "Estimating a risk difference (and confidence intervals) using logistic regression", "url": "https://www.rdatagen.net/post/2021-06-15-estimating-a-risk-difference-using-logistic-regression/", "published_at": "2021-06-15T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfc185729", "title": "Sample size determination in the context of Bayesian analysis", "url": "https://www.rdatagen.net/post/2021-06-01-bayesian-power-analysis/", "published_at": "2021-06-01T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfc8a5ea0", "title": "Generating random lists of names with errors to explore fuzzy word matching", "url": "https://www.rdatagen.net/post/2021-04-13-generating-random-lists-of-names-with-errors-to-explore-fuzzy-word-matching/", "published_at": "2021-04-13T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfd3de321", "title": "The case of three MAR mechanisms: when is multiple imputation mandatory?", "url": "https://www.rdatagen.net/post/2021-03-30-some-cases-where-imputing-missing-data-matters/", "published_at": "2021-03-30T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfdca59f8", "title": "Framework for power analysis using simulation", "url": "https://www.rdatagen.net/post/2021-03-16-framework-for-power-analysis-using-simulation/", "published_at": "2021-03-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfdd0f811", "title": "Randomization tests make fewer assumptions and seem pretty intuitive", "url": "https://www.rdatagen.net/post/2021-03-02-randomization-tests/", "published_at": "2021-03-02T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfe60149c", "title": "Visualizing the treatment effect with an ordinal outcome", "url": "https://www.rdatagen.net/post/2021-02-16-visualizing-the-treatment-effect-when-outcome-is-ordinal/", "published_at": "2021-02-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfecee0cc", "title": "How useful is it to show uncertainty in a plot comparing proportions?", "url": "https://www.rdatagen.net/post/2021-02-02-uncertainty-in-a-plot-comparing-proportions/", "published_at": "2021-02-02T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adfee1b22e", "title": "Finding answers faster for COVID-19: an application of Bayesian predictive probabilities", "url": "https://www.rdatagen.net/post/2021-01-19-should-we-continue-recruiting-patients-an-application-of-bayesian-predictive-probabilities/", "published_at": "2021-01-19T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66adffcb609c", "title": "Coming soon: effortlessly generate ordinal data without assuming proportional odds", "url": "https://www.rdatagen.net/post/2021-01-05-coming-soon-new-feature-to-easily-generate-cumulative-odds-without-proportionality-assumption/", "published_at": "2021-01-05T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae005b3c26", "title": "Constrained randomization to evaulate the vaccine rollout in nursing homes", "url": "https://www.rdatagen.net/post/2020-12-22-constrained-randomization-to-evaulate-the-vaccine-rollout-in-nursing-homes/", "published_at": "2020-12-22T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae00f27ab8", "title": "A Bayesian implementation of a latent threshold model", "url": "https://www.rdatagen.net/post/a-latent-threshold-model-to-estimate-treatment-effects/", "published_at": "2020-12-08T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae01d3f73a", "title": "A latent threshold model to dichotomize a continuous predictor", "url": "https://www.rdatagen.net/post/a-latent-threshold-model/", "published_at": "2020-11-24T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae02d276c0", "title": "Exploring the properties of a Bayesian model using high performance computing", "url": "https://www.rdatagen.net/post/a-frequentist-bayesian-exploring-frequentist-properties-of-bayesian-models/", "published_at": "2020-11-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae03a8750f", "title": "A refined brute force method to inform simulation of ordinal response data", "url": "https://www.rdatagen.net/post/can-empirical-mean-and-variance-data-inform-simulation-of-ordinal-response-variables/", "published_at": "2020-10-27T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae044414ad", "title": "simstudy just got a little more dynamic: version 0.2.1", "url": "https://www.rdatagen.net/post/simstudy-just-got-a-little-more-dynamic-version-0-2-0/", "published_at": "2020-10-13T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae04622031", "title": "Permuted block randomization using simstudy", "url": "https://www.rdatagen.net/post/permuted-block-randomization-using-simstudy/", "published_at": "2020-09-29T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0537b7f2", "title": "Generating probabilities for ordinal categorical data", "url": "https://www.rdatagen.net/post/generating-probabilities-for-ordinal-categorical-data/", "published_at": "2020-09-15T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0594f1cd", "title": "Diagnosing and dealing with degenerate estimation in a Bayesian meta-analysis", "url": "https://www.rdatagen.net/post/diagnosing-and-dealing-with-estimation-issues-in-the-bayesian-meta-analysis/", "published_at": "2020-09-01T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae05d76df7", "title": "Generating data from a truncated distribution", "url": "https://www.rdatagen.net/post/generating-data-from-a-truncated-distribution/", "published_at": "2020-08-18T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae065faf10", "title": "A hurdle model for COVID-19 infections in nursing homes", "url": "https://www.rdatagen.net/post/a-hurdle-model-for-covid-19-infections-in-nursing-homes-sample-size-considerations/", "published_at": "2020-08-04T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae06f3efa5", "title": "A Bayesian model for a simulated meta-analysis", "url": "https://www.rdatagen.net/post/a-bayesian-model-for-a-simulated-meta-analysis/", "published_at": "2020-07-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae075619f4", "title": "Simulating multiple RCTs to simulate a meta-analysis", "url": "https://www.rdatagen.net/post/simulating-mutliple-studies-to-simulate-a-meta-analysis/", "published_at": "2020-07-07T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae08410dad", "title": "Consider a permutation test for a small pilot study", "url": "https://www.rdatagen.net/post/permutation-test-for-a-covid-19-pilot-nursing-home-study/", "published_at": "2020-06-23T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae093e944e", "title": "When proportional odds is a poor assumption, collapsing categories is probably not going to save you", "url": "https://www.rdatagen.net/post/more-fun-with-ordinal-scales-combining-categories-may-not-make-solve-the-problem-of-non-proportionality/", "published_at": "2020-06-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0984d406", "title": "Considering the number of categories in an ordinal outcome", "url": "https://www.rdatagen.net/post/the-advantage-of-increasing-the-number-of-categories-in-an-ordinal-outcome/", "published_at": "2020-05-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae09c16926", "title": "To stratify or not? It might not actually matter...", "url": "https://www.rdatagen.net/post/to-stratify-or-not-to-stratify/", "published_at": "2020-05-12T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae09fe0878", "title": "Simulation for power in designing cluster randomized trials", "url": "https://www.rdatagen.net/post/simulation-for-power-calculations-in-designing-cluster-randomized-trials/", "published_at": "2020-04-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0a07d292", "title": "Yes, unbalanced randomization can improve power, in some situations", "url": "https://www.rdatagen.net/post/unbalanced-randomization-can-improve-power-in-some-situations/", "published_at": "2020-04-14T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0abf7ba7", "title": "Can unbalanced randomization improve power?", "url": "https://www.rdatagen.net/post/can-unbalanced-randomization-improve-power/", "published_at": "2020-03-31T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0ac3e00c", "title": "When you want more than a chi-squared test, consider a measure of association", "url": "https://www.rdatagen.net/post/when-a-chi-squared-statistic-is-not-enough-a-measure-of-association-for-contingency-tables/", "published_at": "2020-03-17T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0b2c84f0", "title": "Alternatives to reporting a p-value: the case of a contingency table", "url": "https://www.rdatagen.net/post/to-report-a-p-value-or-not-the-case-of-a-contingency-table/", "published_at": "2020-03-03T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0c21ec61", "title": "Clustered randomized trials and the design effect", "url": "https://www.rdatagen.net/post/what-exactly-is-the-design-effect/", "published_at": "2020-02-18T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0c98778f", "title": "Analysing an open cohort stepped-wedge clustered trial with repeated individual binary outcomes", "url": "https://www.rdatagen.net/post/analyzing-the-open-cohort-stepped-wedge-trial-with-binary-outcomes/", "published_at": "2020-02-04T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0cdfaecf", "title": "A brief account (via simulation) of the ROC (and its AUC)", "url": "https://www.rdatagen.net/post/a-simple-explanation-of-what-the-roc-and-auc-represent/", "published_at": "2020-01-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0d434a1a", "title": "Repeated measures can improve estimation when we only care about a single endpoint", "url": "https://www.rdatagen.net/post/using-repeated-measures-might-improve-effect-estimation-even-when-single-endpoint-is-the-focus/", "published_at": "2019-12-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0dae9fe2", "title": "Adding a \"mixture\" distribution to the simstudy package", "url": "https://www.rdatagen.net/post/adding-mixture-distributions-to-simstudy/", "published_at": "2019-11-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0e11333e", "title": "What can we really expect to learn from a pilot study?", "url": "https://www.rdatagen.net/post/what-can-we-really-expect-to-learn-from-a-pilot-study/", "published_at": "2019-11-12T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0e1bd997", "title": "Any one interested in a function to quickly generate data with many predictors?", "url": "https://www.rdatagen.net/post/any-one-interested-in-a-function-to-quickly-generate-data-with-many-predictors/", "published_at": "2019-10-29T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0ec010d5", "title": "Selection bias, death, and dying", "url": "https://www.rdatagen.net/post/selection-bias-death-and-dying/", "published_at": "2019-10-15T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae0fa24b02", "title": "There's always at least two ways to do the same thing: an example generating 3-level hierarchical data using simstudy", "url": "https://www.rdatagen.net/post/in-simstudy-as-in-r-there-s-always-at-least-two-ways-to-do-the-same-thing/", "published_at": "2019-10-03T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae10730cb8", "title": "Simulating an open cohort stepped-wedge trial", "url": "https://www.rdatagen.net/post/simulating-an-open-cohort-stepped-wedge-trial/", "published_at": "2019-09-17T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1133ac78", "title": "Analyzing a binary outcome arising out of within-cluster, pair-matched randomization", "url": "https://www.rdatagen.net/post/analyzing-a-binary-outcome-in-a-study-with-within-cluster-pair-matched-randomization/", "published_at": "2019-09-03T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae11ae19d4", "title": "simstudy updated to version 0.1.14: implementing Markov chains", "url": "https://www.rdatagen.net/post/simstudy-1-14-update/", "published_at": "2019-08-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae123a2f05", "title": "Bayes models for estimation in stepped-wedge trials with non-trivial ICC patterns", "url": "https://www.rdatagen.net/post/bayes-model-to-estimate-stepped-wedge-trial-with-non-trivial-icc-structure/", "published_at": "2019-08-06T00:00:00+00:00" } ] posts Claim your blog
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rdatagen.net

2026

Same model, better shape: why centering improves MCMCoriginal ↗
30 Mar 2026
Getting to the bottom of TMLE: targeting in actionoriginal ↗
18 Mar 2026
Getting to the bottom of TMLE: forcing the target to behaveoriginal ↗
9 Mar 2026
Getting to the bottom of TMLE: the (almost) vanishing nuisance interactionoriginal ↗
2 Mar 2026
Getting to the bottom of TMLE: influence functions and perturbationsoriginal ↗
5 Feb 2026

2025

A new simstudy function to make simulating replications easieroriginal ↗
7 Oct 2025
Planning for a 3-arm cluster randomized trial with a nested intervention and a time-to-event outcomeoriginal ↗
20 May 2025
Bayesian proportional hazards model for a stepped-wedge designoriginal ↗
1 Apr 2025
A Bayesian proportional hazards model for a cluster randomized trialoriginal ↗
25 Mar 2025
Accounting for ties in a Bayesian proportional hazards modeloriginal ↗
20 Mar 2025
A Bayesian proportional hazards model with a penalized splineoriginal ↗
4 Mar 2025
Estimating a Bayesian proportional hazards modeloriginal ↗
11 Feb 2025
Thinking about covariates in an analysis of an RCToriginal ↗
28 Jan 2025

2024

Can ChatGPT help construct non-trivial statistical models? An example with Bayesian "random" splinesoriginal ↗
8 Oct 2024
An IV study design to estimate an effect size when randomization is not ethicaloriginal ↗
3 Sept 2024
Generating binary data by specifying the relative risk, with simulationsoriginal ↗
2 Jul 2024
simstudy: another way to generate data from a non-standard densityoriginal ↗
4 Jun 2024
simstudy 0.8.0: customized distributionsoriginal ↗
21 May 2024
simstudy enhancement: specifying idiosyncratic follow-up times for longitudinal dataoriginal ↗
16 Apr 2024
Perfectly balanced treatment arm distribution in a multifactorial CRT using stratified randomizationoriginal ↗
20 Feb 2024

2023

A three-arm trial using two-step randomizationoriginal ↗
19 Dec 2023
Creating a nice looking Table 1 with standardized mean differencesoriginal ↗
26 Sept 2023
Finding logistic models to generate data with desired risk ratio, risk difference and AUC profilesoriginal ↗
20 Jun 2023
A demo of power estimation by simulation for a cluster randomized trial with a time-to-event outcomeoriginal ↗
23 May 2023
Generating variable cluster sizes to assess power in cluster randomized trialsoriginal ↗
18 Apr 2023
Implementing a one-step GEE algorithm for very large cluster sizes in Roriginal ↗
21 Mar 2023
simstudy 0.6.0 released: more flexible correlation patternsoriginal ↗
21 Feb 2023
Flexible correlation generation: an update to genCorMat in simstudyoriginal ↗
14 Feb 2023
A GAM for time trends in a stepped-wedge trial with a binary outcomeoriginal ↗
17 Jan 2023

2022

Modeling the secular trend in a stepped-wedge designoriginal ↗
13 Dec 2022
Generating clustered data with marginal correlationsoriginal ↗
22 Nov 2022
Modeling the secular trend in a cluster randomized trial using very flexible modelsoriginal ↗
1 Nov 2022
Presenting results for multinomial logistic regression: a marginal approach using propensity scoresoriginal ↗
20 Sept 2022
Flexible simulation in simstudy with customized distribution functionsoriginal ↗
30 Aug 2022
Simulating data from a non-linear function by specifying a handful of pointsoriginal ↗
9 Aug 2022
simstudy updated to version 0.5.0original ↗
20 Jul 2022
To impute or not: the case of an RCT with baseline and follow-up measurementsoriginal ↗
12 Apr 2022
Simulating time-to-event outcomes with non-proportional hazardsoriginal ↗
29 Mar 2022
Adding competing risks in survival data generationoriginal ↗
15 Mar 2022
Follow-up: simstudy function for generating parameters for survival distributionoriginal ↗
22 Feb 2022
Simulating survival outcomes: setting the parameters for the desired distributionoriginal ↗
8 Feb 2022
simstudy update: ordinal data generation that violates proportionalityoriginal ↗
25 Jan 2022
Including uncertainty when comparing response rates across clustersoriginal ↗
18 Jan 2022
Skeptical Bayesian priors might help minimize skepticism about subgroup analysesoriginal ↗
4 Jan 2022

2021

Controlling Type I error in RCTs with interim looks: a Bayesian perspectiveoriginal ↗
21 Dec 2021
Exploring design effects of stepped wedge designs with baseline measurementsoriginal ↗
7 Dec 2021
The design effect of a cluster randomized trial with baseline measurementsoriginal ↗
23 Nov 2021
simstudy update: adding flexibility to data generationoriginal ↗
9 Nov 2021
Sample size requirements for a Bayesian factorial study designoriginal ↗
26 Oct 2021
A Bayesian analysis of a factorial design focusing on effect size estimatesoriginal ↗
12 Oct 2021
Analyzing a factorial design by focusing on the variance of effect sizesoriginal ↗
28 Sept 2021
Drawing the wrong conclusion about subgroups: a comparison of Bayes and frequentist methodsoriginal ↗
14 Sept 2021
Subgroup analysis using a Bayesian hierarchical modeloriginal ↗
31 Aug 2021
Posterior probability checking with rvars: a quick follow-uporiginal ↗
17 Aug 2021
Fitting your model is only the beginning: Bayesian posterior probability checks with rvarsoriginal ↗
9 Aug 2021
Estimating a risk difference (and confidence intervals) using logistic regressionoriginal ↗
15 Jun 2021
Sample size determination in the context of Bayesian analysisoriginal ↗
1 Jun 2021
Generating random lists of names with errors to explore fuzzy word matchingoriginal ↗
13 Apr 2021
The case of three MAR mechanisms: when is multiple imputation mandatory?original ↗
30 Mar 2021
Framework for power analysis using simulationoriginal ↗
16 Mar 2021
Randomization tests make fewer assumptions and seem pretty intuitiveoriginal ↗
2 Mar 2021
Visualizing the treatment effect with an ordinal outcomeoriginal ↗
16 Feb 2021
How useful is it to show uncertainty in a plot comparing proportions?original ↗
2 Feb 2021
Finding answers faster for COVID-19: an application of Bayesian predictive probabilitiesoriginal ↗
19 Jan 2021
Coming soon: effortlessly generate ordinal data without assuming proportional oddsoriginal ↗
5 Jan 2021

2020

Constrained randomization to evaulate the vaccine rollout in nursing homesoriginal ↗
22 Dec 2020
A Bayesian implementation of a latent threshold modeloriginal ↗
8 Dec 2020
A latent threshold model to dichotomize a continuous predictororiginal ↗
24 Nov 2020
Exploring the properties of a Bayesian model using high performance computingoriginal ↗
10 Nov 2020
A refined brute force method to inform simulation of ordinal response dataoriginal ↗
27 Oct 2020
simstudy just got a little more dynamic: version 0.2.1original ↗
13 Oct 2020
Permuted block randomization using simstudyoriginal ↗
29 Sept 2020
Generating probabilities for ordinal categorical dataoriginal ↗
15 Sept 2020
Diagnosing and dealing with degenerate estimation in a Bayesian meta-analysisoriginal ↗
1 Sept 2020
Generating data from a truncated distributionoriginal ↗
18 Aug 2020
A hurdle model for COVID-19 infections in nursing homesoriginal ↗
4 Aug 2020
A Bayesian model for a simulated meta-analysisoriginal ↗
21 Jul 2020
Simulating multiple RCTs to simulate a meta-analysisoriginal ↗
7 Jul 2020
Consider a permutation test for a small pilot studyoriginal ↗
23 Jun 2020
When proportional odds is a poor assumption, collapsing categories is probably not going to save youoriginal ↗
9 Jun 2020
Considering the number of categories in an ordinal outcomeoriginal ↗
26 May 2020
To stratify or not? It might not actually matter...original ↗
12 May 2020
Simulation for power in designing cluster randomized trialsoriginal ↗
28 Apr 2020
Yes, unbalanced randomization can improve power, in some situationsoriginal ↗
14 Apr 2020
Can unbalanced randomization improve power?original ↗
31 Mar 2020
When you want more than a chi-squared test, consider a measure of associationoriginal ↗
17 Mar 2020
Alternatives to reporting a p-value: the case of a contingency tableoriginal ↗
3 Mar 2020
Clustered randomized trials and the design effectoriginal ↗
18 Feb 2020
Analysing an open cohort stepped-wedge clustered trial with repeated individual binary outcomesoriginal ↗
4 Feb 2020
A brief account (via simulation) of the ROC (and its AUC)original ↗
21 Jan 2020

2019

Repeated measures can improve estimation when we only care about a single endpointoriginal ↗
10 Dec 2019
Adding a "mixture" distribution to the simstudy packageoriginal ↗
26 Nov 2019
What can we really expect to learn from a pilot study?original ↗
12 Nov 2019
Any one interested in a function to quickly generate data with many predictors?original ↗
29 Oct 2019
Selection bias, death, and dyingoriginal ↗
15 Oct 2019
There's always at least two ways to do the same thing: an example generating 3-level hierarchical data using simstudyoriginal ↗
3 Oct 2019
Simulating an open cohort stepped-wedge trialoriginal ↗
17 Sept 2019
Analyzing a binary outcome arising out of within-cluster, pair-matched randomizationoriginal ↗
3 Sept 2019
simstudy updated to version 0.1.14: implementing Markov chainsoriginal ↗
20 Aug 2019
Bayes models for estimation in stepped-wedge trials with non-trivial ICC patternsoriginal ↗
6 Aug 2019
Next