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Sample size determination using composite binary endpoints

Author
Bofill, M.; Gómez Melis, Guadalupe
Type of activity
Presentation of work at congresses
Name of edition
3ra Reunión General de Biostatnet
Date of publication
2017
Presentation's date
2017-01-20
Book of congress proceedings
3ª Reunión Nacional de la Red Biostatnet: afrontando retos de investigación bioestadística con proyección internacional: Santiago de Compostela, España: enero 20-21, 2017
First page
37
Last page
37
Project funding
Grup de Recerca en Bioestadística i Bioinformàtica (GRBIO)
Statistical methods for clinical trials, complex censoring schemes and integrative omics data analysis
Abstract
One of the key issues in clinical trial design is to calculate the suitable sample size to detect a given treatment effect in the main response or primary endpoint, for given significance level and power. In studies where the primary endpoint is assessed by binary endpoints, as success versus failure, the standard procedure of sample size calculation is based on the normal approximation to the binomial, often taking into account finite sample size correction. Several formulas can be used dependi...
Keywords
Association measures, Clinical trial, Composite Binary Endpoing, Sample Size
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants