Sample size determination in clinical trials with multiple co-primary endpoints including mixed continuous and binary variables

DOI10.1002/bimj.201100221zbMath1400.62286OpenAlexW1863206654WikidataQ47295706 ScholiaQ47295706MaRDI QIDQ2919476

Takashi Sozu, Toshimitsu Hamasaki, Tomoyuki Sugimoto

Publication date: 2 October 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201100221

zbMATH Keywords

multiplicitylatent variablemultivariate normalbiserial correlationintersection-union test

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Letter to the Editor ⋮ Sample size determination in clinical trials with multiple co-primary endpoints including mixed continuous and binary variables ⋮ Power analysis for cluster randomized trials with multiple binary co‐primary endpoints ⋮ Sample size determination and re‐estimation for matched pair designs with multiple binary endpoints ⋮ Assessing additional benefit in noninferiority trials

Uses Software

• QSIMVN

Cites Work

• Unnamed Item
• Sample size for simultaneous testing of rate differences in non-inferiority trials with multiple endpoints
• On a multiple endpoints testing problem
• Sample size determination in clinical trials with multiple co-primary endpoints including mixed continuous and binary variables
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Applications of Correlation Models for Biserial Data
• The Point Biserial Coefficient of Correlation
• Correlation Between a Discrete and a Continuous Variable. Point-Biserial Correlation
• THE THEORY OF CORRELATION BETWEEN TWO CONTINUOUS VARIABLES WHEN ONE IS DICHOTOMIZED

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