Calculating the power or sample size for the logistic and proportional hazards models

DOI10.1080/00949650410001729445zbMath1076.62076OpenAlexW2147251974MaRDI QIDQ5711981

David A. Schoenfeld, Michael Borenstein

Publication date: 22 December 2005

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650410001729445

zbMATH Keywords

sample sizelogistic modelpowerproportional hazards modelmultivariate normal integrals

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Generalized linear models (logistic models) (62J12) Testing in survival analysis and censored data (62N03)

Related Items (3)

Sample size calculation for a proportional hazards mixture cure model with nonbinary covariates ⋮ A two-stage strategy to accommodate general patterns of confounding in the design of observational studies ⋮ Sample Size Determination for Logistic Regression: A Simulation Study

Cites Work

• Sample-Size Formula for the Proportional-Hazards Regression Model
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Properties of Proportional-Hazards Score Tests under Misspecified Regression Models
• Sample Size for Logistic Regression with Small Response Probability
• On Power and Sample Size Calculations for Likelihood Ratio Tests in Generalized Linear Models
• Simpson's Paradox and Related Phenomena
• Linear Statistical Inference and its Applications

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