GROUP SEQUENTIAL PROCEDURES FOR REPEATED EVENTS DATA WITH FRAILTY
From MaRDI portal
Publication:4512626
DOI10.1081/BIP-100101183zbMath0961.62068OpenAlexW1969407804WikidataQ30581161 ScholiaQ30581161MaRDI QIDQ4512626
Publication date: 5 June 2001
Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/bip-100101183
Poisson processmultiplicative intensity modelrecurrent eventsindependent incrementsinterim analysesminimal cost analysis
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical design (62L05) Sequential statistical analysis (62L10)
Related Items (3)
Exact group sequential designs for two-arm experiments with Poisson distributed outcome variables ⋮ Repeated Confidence Intervals Under Fractional Brownian Motion in Long-Term Clinical Trials ⋮ Sample-size calculation and reestimation for a semiparametric analysis of recurrent event data taking robust standard errors into account
Uses Software
Cites Work
- Unnamed Item
- Discrete Sequential Boundaries for Clinical Trials
- Algorithm AS 195: Multivariate Normal Probabilities with Error Bound
- Regression Methods for Poisson Process Data
- An Analysis of Comparative Carcinogenesis Experiments Based on Multiple Times to Tumor
- Interim Monitoring of Longitudinal Comparative Studies with Recurrent Event Responses
- Robust Tests for Treatment Comparisons Based on Recurrent Event Responses
- Semiparametric Regression Models for Repeated Events with Random Effects and Measurement Error
- Sequential methods for parametric survival models
- Some Simple Robust Methods for the Analysis of Recurrent Events
- Incorporating scientific, ethical and economic considerations into the design of clinical trials in the pharmaceutical industry: a sequential approach
- Statistical models based on counting processes
This page was built for publication: GROUP SEQUENTIAL PROCEDURES FOR REPEATED EVENTS DATA WITH FRAILTY
