Judith J. M. Rijnhart

Different ways to estimate treatment effects in randomised controlled trials

Jos W. R. Twisk, Lisa C. Bosman, Trynke Hoekstra et al. · Contemporary Clinical Trials Communications · 2018 · 541 citations · Full text

Public Health, Biostatistics, Causal Inference +16

A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies

Hopin Lee, Aidan G Cashin, Sarah E Lamb et al. · JAMA · 2021 · 523 citations · Full text

Public Health, Biostatistics, Causal Inference +15

Causal Mediation Programs in R, M<i>plus</i>, SAS, SPSS, and Stata

Matthew J. Valente, Judith J. M. Rijnhart, Heather L. Smyth et al. · Structural Equation Modeling A Multidisciplinary Journal · 2020 · 174 citations · Full text

Public Health, Biostatistics, Causal Inference +14

Comparison of logistic-regression based methods for simple mediation analysis with a dichotomous outcome variable

Judith J. M. Rijnhart, Jos W. R. Twisk, Iris Eekhout et al. · BMC Medical Research Methodology · 2019 · 128 citations · Full text

Public Health, Biostatistics, Causal Inference +15

Modeling non-linear relationships in epidemiological data: The application and interpretation of spline models

Noah A. Schuster, Judith J. M. Rijnhart, Jos W. R. Twisk et al. · Frontiers in Epidemiology · 2022 · 103 citations · Full text

Public Health, Biostatistics, Health Sciences +15