An overview of group sequential methods in longitudinal clinical trials
From MaRDI portal
Publication:5424029
DOI10.1177/096228020000900506zbMath1121.62666OpenAlexW2091209566MaRDI QIDQ5424029
KyungMann Kim, David L. Demets, Bart Spiessens, Geert Verbeke, Emmanuel Lesaffre
Publication date: 1 November 2007
Published in: Statistical Methods in Medical Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1177/096228020000900506
Related Items
Sequential analysis methodology for a Poisson GLMM with applications to multicenter randomized clinical trials ⋮ Sequential Analysis of Longitudinal Data in a Prospective Nested Case-Control Study ⋮ Group Sequential Methods for an Ordinal Logistic Random-Effects Model Under Misspecification ⋮ Unnamed Item
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Random-Effects Models for Longitudinal Data
- Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
- Algorithm AS 195: Multivariate Normal Probabilities with Error Bound
- Interim analyses with repeated measurements in a sequential clinical trial
- Repeated Significance Tests for Clinical Trials with a Fixed Number of Patients and Variable Follow-Up
- Sequential testing in clinical trials with repeated measurements
- Design and Analysis of Group Sequential Logrank Tests in Maximum Duration Versus Information Trials
- Repeated significance testing in longitudinal clinical trials
- Estimating and reducing bias in group sequential designs with Gaussian independent increment structure
- Sequential Monitoring for Comparison of Changes in a Response Variable in Clinical Studies
- Design and analysis of group sequential tests based on the type I error spending rate function
- On the bias of maximum likelihood estimation following a sequential test
- Information and information fractions for design and sequential monitoring of clinical trials
- Group Sequential Comparison of Changes: Ad-hoc Versus More Exact Method