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In this tutorial paper, detailed explanations are given for both designing and operating sequential testing. We describe the calculation of exact thresholds for stopping or signaling, statistical power, expected time to signal, and expected sample sizes for sequential analysis with Poisson and binary type data. The calculations are run using the package<jats:italic>Sequential<\/jats:italic>, constructed in<jats:italic>R<\/jats:italic>language. Real data examples are inspired on clinical trials practice, such as the current efforts to develop treatments to face the COVID\u201019 pandemic, and the comparison of treatments of osteoporosis. In addition, we mimic the monitoring of adverse events following influenza vaccination and Pediarix vaccination.<\/jats:p>","DOI":"10.1002\/sim.9094","type":"journal-article","created":{"date-parts":[[2021,6,13]],"date-time":"2021-06-13T22:38:07Z","timestamp":1623623887000},"page":"4890-4913","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Exact sequential test for clinical trials and post\u2010market drug and vaccine safety surveillance with Poisson and binary data"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2701-8924","authenticated-orcid":false,"given":"Ivair","family":"R. 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