Type I error probability spending for post-market drug and vaccine safety surveillance with Poisson data

DOI10.1007/s11009-017-9586-zzbMath1395.62244OpenAlexW2742496407WikidataQ92340072 ScholiaQ92340072MaRDI QIDQ1657816

Ivair R. Silva

Publication date: 14 August 2018

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6936745

zbMATH Keywords

sequential probability ratio testexpected number of events to signallog-exp alpha spending

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sequential statistical analysis (62L10) Optimal stopping in statistics (62L15)

Related Items (3)

Frequentist-Bayesian Monte Carlo testing ⋮ Exact conditional maximized sequential probability ratio test adjusted for covariates ⋮ Complementary hypotheses in safety surveillance

Uses Software

• R
• Sequential

Cites Work

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• A Maximized Sequential Probability Ratio Test for Drug and Vaccine Safety Surveillance
• Statistical approaches to interim monitoring of medical trials: A review and commentary
• Continuous versus group sequential analysis for post-market drug and vaccine safety surveillance
• Discrete Sequential Boundaries for Clinical Trials
• Design and analysis of group sequential tests based on the type I error spending rate function
• Efficient Score Statistic in Drug and Vaccine Safety Surveillance
• Sequential Tests of Statistical Hypotheses

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