Odds ratios are far from “portable”—A call to use realistic models for effect variation in meta-analysis

Decreased susceptibility of marginal odds ratios to finite-sample bias

(2021) Rachael K. Ross et al.   EPIDEMIOLOGY

Is OR “portable” in meta-analysis? Time to consider bivariate generalized linear mixed model

(2021) Mengli Xiao et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

The odds ratio is “portable” but not the relative risk: Time to do away with the log link in binomial regression

(2021) Suhail A. Doi et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Taken by Surprise

(2020) Kenneth J Rothman   AMERICAN JOURNAL OF EPIDEMIOLOGY

Surprise!

(2020) Stephen R Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Meta-Analysis and Sparse Data Bias

(2020) David B Richardson et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise

(2020) Zad Rafi et al.   BMC Medical Research Methodology

Zero‐cell corrections in random‐effects meta‐analyses

(2020) Frank Weber et al.   Research Synthesis Methods

Controversy and Debate: Questionable utility of the relative risk in clinical research: Paper 1: A call for change to practice

(2020) Suhail A. Doi et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Scientists rise up against statistical significance

(2019) Valentin Amrhein et al.   NATURE

Moving to a World Beyond “p 

(2019) Ronald L. Wasserstein et al.   AMERICAN STATISTICIAN

Considerations when assessing heterogeneity of treatment effect in patient-centered outcomes research

(2018) Catherine R. Lesko et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Re

(2016) Amand F. Schmidt et al.   EPIDEMIOLOGY

The Authors Respond

(2016) Charles Poole et al.   EPIDEMIOLOGY

Disengaging from statistical significance

(2016) Kenneth J. Rothman   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models

(2016) Menglan Pang et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Statistical Foundations for Model-Based Adjustments

(2015) Sander Greenland et al.   Annual Review of Public Health

Is the Risk Difference Really a More Heterogeneous Measure?

(2015) Charlie Poole et al.   EPIDEMIOLOGY

Standardized binomial models for risk or prevalence ratios and differences

(2015) David B Richardson et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Conducting Meta-Analyses inRwith themetaforPackage

(2015) Wolfgang Viechtbauer   Journal of Statistical Software

Re: "Estimating the Relative Risk in Cohort Studies and Clinical Trials of Common Outcomes"

(2014) I. Karp   AMERICAN JOURNAL OF EPIDEMIOLOGY

Estimating predicted probabilities from logistic regression: different methods correspond to different target populations

(2014) Clemma J Muller et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Adjustments and their Consequences-Collapsibility Analysis using Graphical Models

(2011) Sander Greenland et al.   INTERNATIONAL STATISTICAL REVIEW

Bivariate random effects models for meta-analysis of comparative studies with binary outcomes: Methods for the absolute risk difference and relative risk

(2010) Haitao Chu et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Constructing Inverse Probability Weights for Marginal Structural Models

(2008) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Interactions in Epidemiology: Relevance, Identification, and Estimation

(2008) Sander Greenland   EPIDEMIOLOGY