The Performance of Two Data-Generation Processes for Data with Specified Marginal Treatment Odds Ratios

DOI10.1080/03610910801942430zbMath1145.62084OpenAlexW2005088899WikidataQ57266820 ScholiaQ57266820MaRDI QIDQ3527739

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Publication date: 30 September 2008

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910801942430

zbMATH Keywords

tablesMonte Carlo simulationssimulationsaverage treatment effectmarginal treatment effectdata-generating processmarginal odds ratios

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (1)

A Data-Generation Process for Data with Specified Risk Differences or Numbers Needed to Treat

Uses Software

• Unnamed Item

Cites Work

• Confounding and collapsibility in causal inference
• The central role of the propensity score in observational studies for causal effects
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Miscellanea. A note on generating correlated binary variables

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