Power and Sample Size for Stratified Prospective Studies Using the Score Method for Testing Relative Risk

DOI10.2307/2534020zbMath1058.62566OpenAlexW2033750476WikidataQ47291807 ScholiaQ47291807MaRDI QIDQ4665967

Jun-Mo Nam

Publication date: 11 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2534020

zbMATH Keywords

sample sizescore testasymptotic powerrelative efficiencystratified prospective studies

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03)

Related Items (6)

Testing homogeneity of difference of two proportions for stratified correlated paired binary data ⋮ Homogeneity test, sample size determination and interval construction of difference of two proportions in stratified bilateral-sample designs ⋮ Testing equality of risk ratios in multiple \(2\times 2\) tables with structural zero ⋮ Statistical analysis of non-inferiority via non-zero risk difference in stratified matched-pair studies ⋮ Proving non-inferiority or equivalence of two treatments with dichotomous endpoints using exact methods ⋮ Stratified Fisher's exact test and its sample size calculation

This page was built for publication: Power and Sample Size for Stratified Prospective Studies Using the Score Method for Testing Relative Risk