Type I error probability spending for post-market drug and vaccine safety surveillance with binomial data-Reference-Cited by-同舟云学术

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

Published:2017-09-25 Issue:1 Volume:37 Page:107-118
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Silva Ivair R.¹^ORCID

Affiliation:

1. Department of Statistics; Federal University of Ouro Preto; Campus Morro do Cruzeiro CEP 35400 000 Ouro Preto MG Brazil

Funder

National Institute of General Medical Sciences, USA

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

PROPP-UFOP

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference20 articles.

1. Active surveillance of vaccine safety: a system to detect early signs of adverse events;Davis;Epidemiology,2005

2. Real-time vaccine safety surveillance for the early detection of adverse events;Lieu;Med Care,2007

3. Active surveillance for adverse events: the experience of the vaccine safety datalink project;Yih;Pediatrics,2011

4. Near real-time vaccine safety surveillance using electronic health records a systematic review of the application of statistical methods;Leite;Pharmacoepidemiol Drug Saf,2016

5. Sequential tests of statistical hypotheses;Wald;Ann of Math Stat,1945

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1. Matching ratio and sample size for optimal sequential testing with binomial data;Statistical Methods in Medical Research;2023-06-06

2. Bounded-width confidence interval following optimal sequential analysis of adverse events with binary data;Statistical Methods in Medical Research;2022-09-18

3. Exact sequential test for clinical trials and post‐market drug and vaccine safety surveillance with Poisson and binary data;Statistics in Medicine;2021-06-13

4. Complementary hypotheses in safety surveillance;Sequential Analysis;2020-07-02

5. Optimal alpha spending for sequential analysis with binomial data;Journal of the Royal Statistical Society: Series B (Statistical Methodology);2020-06-15

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