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aicbicsims

Simulation code for "Sensitivity and Specificity of Information Criteria" ( https://methodology.psu.edu/media/techreports/12-119.pdf )

binary_smart_power_simulations

binarylongitudinalsmart

These files constitute Appendix B of the manuscript "A Data Analysis Method for Using Longitudinal Binary Outcome Data From a SMART to Compare Adaptive Interventions" by J. J. Dziak, J. R. T. Yap, J. R. McKay, K. G. Lynch, I. Nahum-Shani. They include a simulated sample dataset and code (with documentation) to analyze the data in R or SAS software packages.

dziakj1.github.io

John J Dziak Software Webpage

dziaklanzatanbootstrappaper

Support files for Dziak, Lanza and Tan (2014), "Effect Size, Statistical Power and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis."(see https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196274/)

eic

findeffectsizes

A support macro for the Dziak, Lanza and Tan (2014) Structural Equation Modeling paper.

funmediation

R package for functional regression mediation with scalar distal outcome

funmediation_development

Progress on an R package to do scalar-on-function functional mediation

funreg

funreg R package by Dziak and Shiyko

hybrid_designs_simulation

Simulation code and supplementary materials for the paper "Hybrid Experimental Designs for Intervention Development: What, Why and How"

hybrid_designs_tutorial_examples

Tutorial Examples for Hybrid Experimental Designs

hybrid_designs_tutorial_examples_development

Tutorial examples for hybrid experimental designs described in: Nahum-Shani, I., Dziak, J. J., Venera, H., Spring, B., & Dempsey W. (2023). Design of Experiments with Sequential Randomizations at Multiple Time Scales: The Hybrid Experimental Design. Behavior Research Methods. See also advanced example at d3center-isr/hybrid-experimental-design

lpasims

Supporting files for the manuscript "Comparing the Performance of Improved Classify-Analyze Approaches for Distal Outcomes in Latent Profile Analysis" by John J. Dziak, Bethany C. Bray, Jieting Zhang, Minqiang Zhang, and Stephanie T. Lanza.

mbridge-randomized-trial

Curation and analysis of data collected from the mBRIDGE sequentially-randomized trial

methodology_center_lca_macros

methodology_center_tvem_macros

Time-varying effect model (TVEM) SAS Macros from the Methodology Center at Penn State

mixtvem

Supporting material for the manuscript "Modeling Intensive Longitudinal Data With Mixtures of Nonparametric Trajectories and Time-Varying Effects" by Dziak, Li, Tan, Shiffman & Shiyko, submitted to Psychological Methods. This code facilitates fitting of MixTVEMs (mixtures of time-varying effects models).

most

MOST package by Linda Collins, Liying Huang and John Dziak

most-sas-macros

ordinaltvem

OrdinalTVEM

penalizedgee

Penalized generalized estimating equations

smarttutorialappendix

These files are an appendix and online supplement for a paper by Nahum-Shani and co-authors describing the use of an analysis method on longitudinal data analysis for SMART trials, submitted to Psychological Methods.

tvem

R package for time-varying effects models

tvem_snippets

tvempackage_development

Progress on an R package for time-varying effects modeling

variablescreening

Variable screening R package