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41554 blogs · [ { "id": "01a087d8-51e1-7172-be36-b956b94ce928", "title": "Introducing PowerLMM.js: Browser-based power analysis for longitudinal models with dropout", "url": "https://rpsychologist.com/introducing-powerlmmjs", "published_at": "2024-12-11T17:00:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956ba313e69", "title": "The Cohen's d app translation project", "url": "https://rpsychologist.com/cohens-d-translation-project", "published_at": "2022-10-29T07:37:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956baa33061", "title": "Why linear mixed-effects models are probably not the solution to your missing data problems", "url": "https://rpsychologist.com/lmm-slope-missingness", "published_at": "2020-07-09T15:00:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956bb02e606", "title": "Heterogeneous treatment effects and homogeneous outcome variances", "url": "https://rpsychologist.com/HTE-variance-ratio", "published_at": "2020-01-10T19:00:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956bbdfed91", "title": "Mediation, confounding, and measurement error", "url": "https://rpsychologist.com/mediation-confounding-ME", "published_at": "2019-10-09T17:00:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956bc5a258c", "title": "Change over time is not \"treatment response\"", "url": "https://rpsychologist.com/treatment-response-subgroup", "published_at": "2018-11-19T18:20:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956bd2e5005", "title": "New paper: The consequences of ignoring therapist effects in longitudinal data analysis", "url": "https://rpsychologist.com/therapists-effects-longitudinal", "published_at": "2018-08-24T13:15:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956bd851e03", "title": "Estimating treatment effects and ICCs from (G)LMMs on the observed scale using Bayes, Part 1: lognormal models", "url": "https://rpsychologist.com/GLMM-part1-lognormal", "published_at": "2018-08-05T12:55:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956be1ba609", "title": "Do you really need a multilevel model? A preview of powerlmm 0.4.0", "url": "https://rpsychologist.com/do-you-need-multilevel-powerlmm-0-4-0", "published_at": "2018-05-04T12:55:00+00:00" }, { "id": "01a087d8-51e1-7172-be36-b956be9b4547", "title": "Power analysis for longitudinal multilevel models: powerlmm 0.3.0 is now out on CRAN", "url": "https://rpsychologist.com/powerlmm-0-3-0", "published_at": "2018-04-17T20:38:00+00:00" } ] posts Claim your blog
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rpsychologist.com

2024

Introducing PowerLMM.js: Browser-based power analysis for longitudinal models with dropoutoriginal ↗
11 Dec 2024

2022

The Cohen's d app translation projectoriginal ↗
29 Oct 2022

2020

Why linear mixed-effects models are probably not the solution to your missing data problemsoriginal ↗
9 Jul 2020
Heterogeneous treatment effects and homogeneous outcome variancesoriginal ↗
10 Jan 2020

2019

Mediation, confounding, and measurement errororiginal ↗
9 Oct 2019

2018

Change over time is not "treatment response"original ↗
19 Nov 2018
New paper: The consequences of ignoring therapist effects in longitudinal data analysisoriginal ↗
24 Aug 2018
Estimating treatment effects and ICCs from (G)LMMs on the observed scale using Bayes, Part 1: lognormal modelsoriginal ↗
5 Aug 2018
Do you really need a multilevel model? A preview of powerlmm 0.4.0original ↗
4 May 2018
Power analysis for longitudinal multilevel models: powerlmm 0.3.0 is now out on CRANoriginal ↗
17 Apr 2018