Abstract
Trial Sequential Analysis is a frequentist method to help researchers control the risks of random errors in meta-analyses (1). Fisher and colleagues used Trial Sequential Analysis on cell therapy for heart diseases (2). The present article discusses the usefulness of Trial Sequential Analysis and its dependence on the choice of the parameters for calculation of the required information size and the adjacent monitoring boundaries, and comments on the approach by Fisher et al. (2). This article is protected by copyright. All rights reserved.
| Original language | English |
|---|---|
| Journal | Clinical Pharmacology and Therapeutics |
| Volume | 102 |
| Issue number | 1 |
| Pages (from-to) | 21-24 |
| ISSN | 0009-9236 |
| DOIs | |
| Publication status | Published - 2017 |
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