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Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data.

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.

SUBMITTER: Silva IR

PROVIDER: S-EPMC6936745 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data.

Silva Ivair R IR

Methodology and computing in applied probability 20170803 2

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 contin ...[more]

PMID: 31889890

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Project description:Highlights • Active post-marketing safety surveillance on ROTASIIL, an oral rotavirus vaccine, was conducted in 9940 infants in India.• Three doses of ROTASIIL were administered at 6, 10 and 14 weeks of age, along with other EPI vaccines.• Most of the AEs were pyrexia and injection site reactions caused by the concomitant injectable vaccines.• No case of intussusception (IS) was reported.• ROTASIIL was safe and well tolerated. Background ROTASIIL, an oral live attenuated bovine-human reassortant pentavalent rotavirus vaccine, was approved in 2017. This post-marketing surveillance (PMS) was conducted to collect real-world data on the safety of ROTASIIL in India. Methods Observational, active PMS was conducted in approximately 10,000 infants aged ≥ 6 weeks. ROTASIIL was administered as a 3-dose regimen, at least 4 weeks apart, beginning at ≥ 6 weeks of age concomitantly with other Expanded Programme on Immunization (EPI) vaccines. Participants were followed for one month after the last dose. The adverse events (AEs) and serious adverse events (SAEs), including intussusception (IS) reported during the follow up period were collected. Findings A total of 9940 infants were enrolled and were considered for safety analysis. Around 9913 (99.7 %) infants received 2 doses, while 9893 (99.5 %) infants completed all three doses. Total 3693 AEs were reported in 2516 (25.3 %) participants. Most of these AEs were pyrexia (78.01 % of events) and injection-site reactions (19.14 % of events). Nearly all AEs were causally unrelated to orally administered ROTASIIL and could be caused by the concomitant injectable vaccines. Only 4 AEs (2 events of vomiting and 1 event each of discomfort and pyrexia) in 4 (<0.1 %) participants could be related to ROTASIIL. AEs were of mild or moderate severity and all resolved without any sequelae. A total of 2 SAEs (acute otitis media and skull fracture) were reported in 2 (<0.1 %) participants and were not related to ROTASIIL and recovered without sequelae. No case of IS was reported. Interpretation ROTASIIL was safe and well tolerated in this study. No safety concerns were reported. Funding The study was funded by SIIPL which is the manufacturer of the study product.

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Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data.

Publications

Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data.

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