Maximum-likelihood estimation and presentation for the interaction between treatments in observational studies with a dichotomous outcome

DOI10.1080/03610918.2016.1230213zbMath1385.62032OpenAlexW2522545775MaRDI QIDQ4607371

Li Yin, Weimin Ye, Xiaoqin Wang

Publication date: 13 March 2018

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

Full work available at URL: https://doi.org/10.1080/03610918.2016.1230213

zbMATH Keywords

logistic modeltreatment effectpoint estimateinterval estimateinteraction between treatments

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (1)

Randomized heuristic algorithms for orthogonal projection of a point onto a set

Uses Software

• bootlib

Cites Work

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• Confounding and collapsibility in causal inference
• Observational studies
• Conditional and marginal models: another view (with comments and rejoinder)
• Point and Interval Estimations of Marginal Risk Difference by Logistic Model
• 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

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