Methods for the analysis of multiple endpoints in small populations: a review
R Ristl, S Urach, G Rosenkranz… - Journal of …, 2019 - Taylor & Francis
While current guidelines generally recommend single endpoints for primary analyses of
confirmatory clinical trials, it is recognized that certain settings require inference on multiple …
confirmatory clinical trials, it is recognized that certain settings require inference on multiple …
Optimal multiple testing and design in clinical trials
A central goal in designing clinical trials is to find the test that maximizes power (or
equivalently minimizes required sample size) for finding a false null hypothesis subject to …
equivalently minimizes required sample size) for finding a false null hypothesis subject to …
Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
Background In medical, social, and behavioral research we often encounter datasets with a
multilevel structure and multiple correlated dependent variables. These data are frequently …
multilevel structure and multiple correlated dependent variables. These data are frequently …
Adaptive graph‐based multiple testing procedures
Multiple testing procedures defined by directed, weighted graphs have recently been
proposed as an intuitive visual tool for constructing multiple testing strategies that reflect the …
proposed as an intuitive visual tool for constructing multiple testing strategies that reflect the …
A general consonance principle for closure tests based on -values
S Zehetmayer, F Koenig… - Statistical Methods in …, 2024 - journals.sagepub.com
<? show [AQ ID= GQ2 POS=-20pt]?><? show [AQ ID= GQ5 POS= 12pt]?> The closure
principle is a powerful approach to constructing efficient testing procedures controlling the …
principle is a powerful approach to constructing efficient testing procedures controlling the …
Decision-making with multiple correlated binary outcomes in clinical trials
X Kavelaars, J Mulder… - Statistical Methods in …, 2020 - journals.sagepub.com
Clinical trials often evaluate multiple outcome variables to form a comprehensive picture of
the effects of a new treatment. The resulting multidimensional insight contributes to clinically …
the effects of a new treatment. The resulting multidimensional insight contributes to clinically …
[PDF][PDF] A Bayesian multivariate framework for analysis and decision-making with multiple binary outcome variables
X Kavelaars - 2023 - research.tilburguniversity.edu
Clinical trials often compare a new treatment to standard care or a placebo. If the collected
data provide sufficient evidence that the new treatment is better than the control treatment …
data provide sufficient evidence that the new treatment is better than the control treatment …
Multiple comparisons, multiple primary endpoints and subpopulation analysis
E Glimm, D Xi, P Gallo - Textbook of Clinical Trials in Oncology, 2019 - taylorfrancis.com
In confirmatory clinical trials in oncology, multiple primary endpoints as well as confirmatory
subpopulation analyses are becoming increasingly common. A multitude of endpoints are …
subpopulation analyses are becoming increasingly common. A multitude of endpoints are …