ArticleMethodology and computing in applied probability2018
Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data.
Article in Methodology and computing in applied probability, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Robust Alpha Spending for Unstable Data.Statistics in medicine · 2026Article
- Sequential monitoring of time-to-event safety endpoints in clinical trials.Clinical trials (London, England) · 2025Article
- Real-Time Pharmacovigilance: Transforming Population-Based Monitoring of Post-Approval Vaccine Safety Through Rapid Cycle Analysis (RCA)-A Review of the Published Literature.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Article
- Exact sequential test for clinical trials and post-market drug and vaccine safety surveillance with Poisson and binary data.Statistics in medicine · 2021Article
- A Bayesian approach to sequential analysis in post-licensure vaccine safety surveillance.Pharmaceutical statistics · 2020Article
- Alpha spending for historical versus surveillance Poisson data with CMaxSPRT.Statistics in medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Statistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The methods can be divided in two types, group and continuous sequential approaches, and a question that arises is if one approach suppresses the other in some sense. For Poisson stochastic processes, we prove that continuous sequential analysis is uniformly better than group sequential under a comprehensive class of statistical performance measures. Hence, optimal solutions are in the class of continuous designs. This paper also offers a pioneer study that compares classical Type I error spending functions in terms of expected number of events to signal. This was done for a number of tuning parameters scenarios. The results indicate that a log-exp shape for the Type I error spending function is the best choice in most of the evaluated scenarios.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.