corpus.blog
41554 blogs · [ { "id": "01a087d0-b525-7311-9217-66ae12ac5bf8", "title": "Estimating treatment effects (and ICCs) for stepped-wedge designs", "url": "https://www.rdatagen.net/post/estimating-treatment-effects-and-iccs-for-stepped-wedge-designs/", "published_at": "2019-07-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae12dfcc75", "title": "More on those stepped-wedge design assumptions: varying intra-cluster correlations over time", "url": "https://www.rdatagen.net/post/varying-intra-cluster-correlations-over-time/", "published_at": "2019-07-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae13704075", "title": "Planning a stepped-wedge trial? Make sure you know what you're assuming about intra-cluster correlations ...", "url": "https://www.rdatagen.net/post/intra-cluster-correlations-over-time/", "published_at": "2019-06-25T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae143deabc", "title": "Don't get too excited - it might just be regression to the mean", "url": "https://www.rdatagen.net/post/regression-to-the-mean/", "published_at": "2019-06-11T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae150eb96f", "title": "simstudy update - stepped-wedge design treatment assignment", "url": "https://www.rdatagen.net/post/simstudy-update-stepped-wedge-treatment-assignment/", "published_at": "2019-05-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae15fa86e2", "title": "Generating and modeling over-dispersed binomial data", "url": "https://www.rdatagen.net/post/overdispersed-binomial-data/", "published_at": "2019-05-14T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1663c0db", "title": "What matters more in a cluster randomized trial: number or size?", "url": "https://www.rdatagen.net/post/what-matters-more-in-a-cluster-randomized-trial-number-or-size/", "published_at": "2019-04-30T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1699ec1b", "title": "Even with randomization, mediation analysis can still be confounded", "url": "https://www.rdatagen.net/post/even-with-randomization-mediation-analysis-can-still-be-confounded/", "published_at": "2019-04-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae175552f2", "title": "Musings on missing data", "url": "https://www.rdatagen.net/post/musings-on-missing-data/", "published_at": "2019-04-02T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae179e45b4", "title": "A case where prospective matching may limit bias in a randomized trial", "url": "https://www.rdatagen.net/post/a-case-where-prospecitve-matching-may-limit-bias/", "published_at": "2019-03-12T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae17eac004", "title": "A example in causal inference designed to frustrate: an estimate pretty much guaranteed to be biased", "url": "https://www.rdatagen.net/post/dags-colliders-and-an-example-of-variance-bias-tradeoff/", "published_at": "2019-02-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1838f053", "title": "Using the uniform sum distribution to introduce probability", "url": "https://www.rdatagen.net/post/a-fun-example-to-explore-probability/", "published_at": "2019-02-05T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae18f80f6f", "title": "Correlated longitudinal data with varying time intervals", "url": "https://www.rdatagen.net/post/correlated-longitudinal-data-with-varying-time-intervals/", "published_at": "2019-01-22T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1909f803", "title": "Considering sensitivity to unmeasured confounding: part 2", "url": "https://www.rdatagen.net/post/what-does-it-mean-if-findings-are-sensitive-to-unmeasured-confounding-ii/", "published_at": "2019-01-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae19a314ff", "title": "Considering sensitivity to unmeasured confounding: part 1", "url": "https://www.rdatagen.net/post/what-does-it-mean-if-findings-are-sensitive-to-unmeasured-confounding/", "published_at": "2019-01-02T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae19bfb7ae", "title": "Parallel processing to add a little zip to power simulations (and other replication studies)", "url": "https://www.rdatagen.net/post/parallel-processing-to-add-a-little-zip-to-power-simulations/", "published_at": "2018-12-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae19f3c99c", "title": "Horses for courses, or to each model its own (causal effect)", "url": "https://www.rdatagen.net/post/different-models-estimate-different-causal-effects-part-ii/", "published_at": "2018-11-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1a58f797", "title": "Generating data to explore the myriad causal effects that can be estimated in observational data analysis", "url": "https://www.rdatagen.net/post/generating-data-to-explore-the-myriad-causal-effects/", "published_at": "2018-11-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1b2b1889", "title": "Causal mediation estimation measures the unobservable", "url": "https://www.rdatagen.net/post/causal-mediation/", "published_at": "2018-11-06T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1b73cef2", "title": "Cross-over study design with a major constraint", "url": "https://www.rdatagen.net/post/when-the-research-question-doesn-t-fit-nicely-into-a-standard-study-design/", "published_at": "2018-10-23T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1bbc8ff8", "title": "In regression, we assume noise is independent of all measured predictors. What happens if it isn't?", "url": "https://www.rdatagen.net/post/linear-regression-models-assume-noise-is-independent/", "published_at": "2018-10-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1c39543c", "title": "simstudy update: improved correlated binary outcomes", "url": "https://www.rdatagen.net/post/simstudy-update-to-version-0-1-10/", "published_at": "2018-09-25T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1c9d00e9", "title": "Binary, beta, beta-binomial", "url": "https://www.rdatagen.net/post/binary-beta-beta-binomial/", "published_at": "2018-09-11T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1cb67b49", "title": "The power of stepped-wedge designs", "url": "https://www.rdatagen.net/post/alternatives-to-stepped-wedge-designs/", "published_at": "2018-08-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1d1c3493", "title": "Multivariate ordinal categorical data generation", "url": "https://www.rdatagen.net/post/multivariate-ordinal-categorical-data-generation/", "published_at": "2018-08-15T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1d5f9dd9", "title": "Randomize by, or within, cluster?", "url": "https://www.rdatagen.net/post/by-vs-within/", "published_at": "2018-07-19T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1e11ee34", "title": "How the odds ratio confounds: a brief study in a few colorful figures", "url": "https://www.rdatagen.net/post/log-odds/", "published_at": "2018-07-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1ec6d79d", "title": "Re-referencing factor levels to estimate standard errors when there is interaction turns out to be a really simple solution", "url": "https://www.rdatagen.net/post/re-referencing-to-estimate-effects-when-there-is-interaction/", "published_at": "2018-06-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1f29db9e", "title": "Late anniversary edition redux: conditional vs marginal models for clustered data", "url": "https://www.rdatagen.net/post/mixed-effect-models-vs-gee/", "published_at": "2018-06-13T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae1fedc941", "title": "A little function to help generate ICCs in simple clustered data", "url": "https://www.rdatagen.net/post/a-little-function-to-help-generate-iccs-in-simple-clustered-data/", "published_at": "2018-05-24T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2028eb0d", "title": "Is non-inferiority on par with superiority?", "url": "https://www.rdatagen.net/post/are-non-inferiority-trials-inferior/", "published_at": "2018-05-14T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae20bbbf77", "title": "How efficient are multifactorial experiments?", "url": "https://www.rdatagen.net/post/so-how-efficient-are-multifactorial-experiments-part/", "published_at": "2018-05-02T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae20d04abf", "title": "Testing multiple interventions in a single experiment", "url": "https://www.rdatagen.net/post/testing-many-interventions-in-a-single-experiment/", "published_at": "2018-04-19T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae20dc19b9", "title": "Exploring the underlying theory of the chi-square test through simulation - part 2", "url": "https://www.rdatagen.net/post/a-little-intuition-and-simulation-behind-the-chi-square-test-of-independence-part-2/", "published_at": "2018-03-25T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae219f20fc", "title": "Exploring the underlying theory of the chi-square test through simulation - part 1", "url": "https://www.rdatagen.net/post/a-little-intuition-and-simulation-behind-the-chi-square-test-of-independence/", "published_at": "2018-03-18T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae225cae63", "title": "Another reason to be careful about what you control for", "url": "https://www.rdatagen.net/post/another-reason-to-be-careful-about-what-you-control-for/", "published_at": "2018-03-07T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae22a98165", "title": "“I have to randomize by cluster. Is it OK if I only have 6 sites?\"", "url": "https://www.rdatagen.net/post/i-have-to-randomize-by-site-is-it-ok-if-i-only-have-6/", "published_at": "2018-02-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae22fe2ed2", "title": "Have you ever asked yourself, \"how should I approach the classic pre-post analysis?\"", "url": "https://www.rdatagen.net/post/thinking-about-the-run-of-the-mill-pre-post-analysis/", "published_at": "2018-01-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae233a82ac", "title": "Importance sampling adds an interesting twist to Monte Carlo simulation", "url": "https://www.rdatagen.net/post/importance-sampling-adds-a-little-excitement-to-monte-carlo-simulation/", "published_at": "2018-01-18T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2377b444", "title": "Simulating a cost-effectiveness analysis to highlight new functions for generating correlated data", "url": "https://www.rdatagen.net/post/generating-correlated-data-for-a-simulated-cost-effectiveness-analysis/", "published_at": "2018-01-08T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae23fd79a2", "title": "When there's a fork in the road, take it. Or, taking a look at marginal structural models.", "url": "https://www.rdatagen.net/post/when-a-covariate-is-a-confounder-and-a-mediator/", "published_at": "2017-12-11T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae24687dae", "title": "When you use inverse probability weighting for estimation, what are the weights actually doing?", "url": "https://www.rdatagen.net/post/inverse-probability-weighting-when-the-outcome-is-binary/", "published_at": "2017-12-04T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae24a45766", "title": "Characterizing the variance for clustered data that are Gamma distributed", "url": "https://www.rdatagen.net/post/icc-for-gamma-distribution/", "published_at": "2017-11-27T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae25a2ff54", "title": "Visualizing how confounding biases estimates of population-wide (or marginal) average causal effects", "url": "https://www.rdatagen.net/post/potential-outcomes-confounding/", "published_at": "2017-11-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae26933aa2", "title": "A simstudy update provides an excuse to generate and display Likert-type data", "url": "https://www.rdatagen.net/post/generating-and-displaying-likert-type-data/", "published_at": "2017-11-07T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2712b0d6", "title": "Thinking about different ways to analyze sub-groups in an RCT", "url": "https://www.rdatagen.net/post/sub-group-analysis-in-rct/", "published_at": "2017-11-01T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae27ef5563", "title": "Who knew likelihood functions could be so pretty?", "url": "https://www.rdatagen.net/post/mle-can-be-pretty/", "published_at": "2017-10-23T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae281a6946", "title": "Can we use B-splines to generate non-linear data?", "url": "https://www.rdatagen.net/post/generating-non-linear-data-using-b-splines/", "published_at": "2017-10-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae28cb76c0", "title": "A minor update to simstudy provides an excuse to talk a bit about the negative binomial and Poisson distributions", "url": "https://www.rdatagen.net/post/a-small-update-to-simstudy-neg-bin/", "published_at": "2017-10-05T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae29a153db", "title": "CACE closed: EM opens up exclusion restriction (among other things)", "url": "https://www.rdatagen.net/post/em-estimation-of-cace/", "published_at": "2017-09-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae29c25a01", "title": "A simstudy update provides an excuse to talk a little bit about latent class regression and the EM algorithm", "url": "https://www.rdatagen.net/post/simstudy-update-provides-an-excuse-to-talk-a-little-bit-about-the-em-algorithm-and-latent-class/", "published_at": "2017-09-20T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2a16737b", "title": "Complier average causal effect? Exploring what we learn from an RCT with participants who don't do what they are told", "url": "https://www.rdatagen.net/post/cace-explored/", "published_at": "2017-09-12T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2a93031a", "title": "Further considerations of a hidden process underlying categorical responses", "url": "https://www.rdatagen.net/post/a-hidden-process-part-2-of-2/", "published_at": "2017-09-05T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2b74c273", "title": "A hidden process behind binary or other categorical outcomes?", "url": "https://www.rdatagen.net/post/ordinal-regression/", "published_at": "2017-08-28T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2be46e56", "title": "Be careful not to control for a post-exposure covariate", "url": "https://www.rdatagen.net/post/be-careful/", "published_at": "2017-08-21T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2cd8bba3", "title": "Should we be concerned about incidence - prevalence bias?", "url": "https://www.rdatagen.net/post/simulating-incidence-prevalence-bias/", "published_at": "2017-08-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2cf6ab70", "title": "Using simulation for power analysis: an example based on a stepped wedge study design", "url": "https://www.rdatagen.net/post/using-simulation-for-power-analysis-an-example/", "published_at": "2017-07-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2d5e6946", "title": "simstudy update: two new functions that generate correlated observations from non-normal distributions", "url": "https://www.rdatagen.net/post/simstudy-update-two-functions-for-correlation/", "published_at": "2017-07-05T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2d7c2554", "title": "Balancing on multiple factors when the sample is too small to stratify", "url": "https://www.rdatagen.net/post/balancing-when-sample-is-too-small-to-stratify/", "published_at": "2017-06-26T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2ddc88ae", "title": "Copulas and correlated data generation: getting beyond the normal distribution", "url": "https://www.rdatagen.net/post/correlated-data-copula/", "published_at": "2017-06-19T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2edac635", "title": "When marginal and conditional logistic model estimates diverge", "url": "https://www.rdatagen.net/post/marginal-v-conditional/", "published_at": "2017-06-09T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae2f70e6ea", "title": "It can be easy to explore data generating mechanisms with the simstudy package", "url": "https://www.rdatagen.net/post/intro-to-simstudy/", "published_at": "2017-05-16T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae305ff382", "title": "Everyone knows that loops in R are to be avoided, but vectorization is not always possible", "url": "https://www.rdatagen.net/post/first-blog-entry/", "published_at": "2017-05-10T00:00:00+00:00" }, { "id": "01a087d0-b525-7311-9217-66ae308c4ff3", "title": "About me", "url": "https://www.rdatagen.net/page/about/", "published_at": null }, { "id": "01a087d0-b526-728c-a226-51090ade957f", "title": "shinyapps", "url": "https://www.rdatagen.net/page/shiny/", "published_at": null } ] posts Claim your blog
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rdatagen.net

2019

Estimating treatment effects (and ICCs) for stepped-wedge designsoriginal ↗
16 Jul 2019
More on those stepped-wedge design assumptions: varying intra-cluster correlations over timeoriginal ↗
9 Jul 2019
Planning a stepped-wedge trial? Make sure you know what you're assuming about intra-cluster correlations ...original ↗
25 Jun 2019
Don't get too excited - it might just be regression to the meanoriginal ↗
11 Jun 2019
simstudy update - stepped-wedge design treatment assignmentoriginal ↗
28 May 2019
Generating and modeling over-dispersed binomial dataoriginal ↗
14 May 2019
What matters more in a cluster randomized trial: number or size?original ↗
30 Apr 2019
Even with randomization, mediation analysis can still be confoundedoriginal ↗
16 Apr 2019
Musings on missing dataoriginal ↗
2 Apr 2019
A case where prospective matching may limit bias in a randomized trialoriginal ↗
12 Mar 2019
A example in causal inference designed to frustrate: an estimate pretty much guaranteed to be biasedoriginal ↗
26 Feb 2019
Using the uniform sum distribution to introduce probabilityoriginal ↗
5 Feb 2019
Correlated longitudinal data with varying time intervalsoriginal ↗
22 Jan 2019
Considering sensitivity to unmeasured confounding: part 2original ↗
10 Jan 2019
Considering sensitivity to unmeasured confounding: part 1original ↗
2 Jan 2019

2018

Parallel processing to add a little zip to power simulations (and other replication studies)original ↗
10 Dec 2018
Horses for courses, or to each model its own (causal effect)original ↗
28 Nov 2018
Generating data to explore the myriad causal effects that can be estimated in observational data analysisoriginal ↗
20 Nov 2018
Causal mediation estimation measures the unobservableoriginal ↗
6 Nov 2018
Cross-over study design with a major constraintoriginal ↗
23 Oct 2018
In regression, we assume noise is independent of all measured predictors. What happens if it isn't?original ↗
9 Oct 2018
simstudy update: improved correlated binary outcomesoriginal ↗
25 Sept 2018
Binary, beta, beta-binomialoriginal ↗
11 Sept 2018
The power of stepped-wedge designsoriginal ↗
28 Aug 2018
Multivariate ordinal categorical data generationoriginal ↗
15 Aug 2018
Randomize by, or within, cluster?original ↗
19 Jul 2018
How the odds ratio confounds: a brief study in a few colorful figuresoriginal ↗
10 Jul 2018
Re-referencing factor levels to estimate standard errors when there is interaction turns out to be a really simple solutionoriginal ↗
26 Jun 2018
Late anniversary edition redux: conditional vs marginal models for clustered dataoriginal ↗
13 Jun 2018
A little function to help generate ICCs in simple clustered dataoriginal ↗
24 May 2018
Is non-inferiority on par with superiority?original ↗
14 May 2018
How efficient are multifactorial experiments?original ↗
2 May 2018
Testing multiple interventions in a single experimentoriginal ↗
19 Apr 2018
Exploring the underlying theory of the chi-square test through simulation - part 2original ↗
25 Mar 2018
Exploring the underlying theory of the chi-square test through simulation - part 1original ↗
18 Mar 2018
Another reason to be careful about what you control fororiginal ↗
7 Mar 2018
“I have to randomize by cluster. Is it OK if I only have 6 sites?"original ↗
21 Feb 2018
Have you ever asked yourself, "how should I approach the classic pre-post analysis?"original ↗
28 Jan 2018
Importance sampling adds an interesting twist to Monte Carlo simulationoriginal ↗
18 Jan 2018
Simulating a cost-effectiveness analysis to highlight new functions for generating correlated dataoriginal ↗
8 Jan 2018

2017

When there's a fork in the road, take it. Or, taking a look at marginal structural models.original ↗
11 Dec 2017
When you use inverse probability weighting for estimation, what are the weights actually doing?original ↗
4 Dec 2017
Characterizing the variance for clustered data that are Gamma distributedoriginal ↗
27 Nov 2017
Visualizing how confounding biases estimates of population-wide (or marginal) average causal effectsoriginal ↗
16 Nov 2017
A simstudy update provides an excuse to generate and display Likert-type dataoriginal ↗
7 Nov 2017
Thinking about different ways to analyze sub-groups in an RCToriginal ↗
1 Nov 2017
Who knew likelihood functions could be so pretty?original ↗
23 Oct 2017
Can we use B-splines to generate non-linear data?original ↗
16 Oct 2017
A minor update to simstudy provides an excuse to talk a bit about the negative binomial and Poisson distributionsoriginal ↗
5 Oct 2017
CACE closed: EM opens up exclusion restriction (among other things)original ↗
28 Sept 2017
A simstudy update provides an excuse to talk a little bit about latent class regression and the EM algorithmoriginal ↗
20 Sept 2017
Complier average causal effect? Exploring what we learn from an RCT with participants who don't do what they are toldoriginal ↗
12 Sept 2017
Further considerations of a hidden process underlying categorical responsesoriginal ↗
5 Sept 2017
A hidden process behind binary or other categorical outcomes?original ↗
28 Aug 2017
Be careful not to control for a post-exposure covariateoriginal ↗
21 Aug 2017
Should we be concerned about incidence - prevalence bias?original ↗
9 Aug 2017
Using simulation for power analysis: an example based on a stepped wedge study designoriginal ↗
10 Jul 2017
simstudy update: two new functions that generate correlated observations from non-normal distributionsoriginal ↗
5 Jul 2017
Balancing on multiple factors when the sample is too small to stratifyoriginal ↗
26 Jun 2017
Copulas and correlated data generation: getting beyond the normal distributionoriginal ↗
19 Jun 2017
When marginal and conditional logistic model estimates divergeoriginal ↗
9 Jun 2017
It can be easy to explore data generating mechanisms with the simstudy packageoriginal ↗
16 May 2017
Everyone knows that loops in R are to be avoided, but vectorization is not always possibleoriginal ↗
10 May 2017

Undated

About meoriginal ↗
—
shinyappsoriginal ↗
—
Previous