Complex survival trial design by the product integration method

DOI10.1002/SIM.9256zbMATH Open1545.62593MaRDI QIDQ6622288

Yongqiang Tang

Publication date: 22 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

nonproportional hazardstreatment switchingmultistate Markov modeldelayed effect

Mathematics Subject Classification ID

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

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Sample Sizes Based on the Log-Rank Statistic in Complex Clinical Trials
• Efficiency of two sample tests via the restricted mean survival time for analyzing event time observations
• Some explicit formulas for the matrix exponential
• Nonparametric Estimation from Incomplete Observations
• Bayesian Cure Rate Models for Malignant Melanoma: A Case-Study of Eastern Cooperative Oncology Group Trial E1690
• Sample size and power for the weighted log‐rank test and Kaplan‐Meier based tests with allowance for nonproportional hazards
• Design and monitoring of survival trials in complex scenarios

Related Items (1)

Some new confidence intervals for Kaplan-Meier based estimators from one and two sample survival data

This page was built for publication: Complex survival trial design by the product integration method

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6622288)