Sample size in clinical trials – challenges and approaches

• Authors: Andrzej Tomski , Barbara Gorzawska

Abstracts

EN

Sample size estimation is a necessary and crucial step in clinical trial research. Statistical requirements, limited patient availability and high financial risk of a clinical trial necessitate the proper calculation of this measure. The aim of this paper is to discuss the reasons why the estimation of the sample size is important and, based on the obtained results, to show how this process may be completed in selected cases. Stochastic simulations based on the Monte Carlo methods approach are applied. Therefore, new challenges facing this area of research are mentioned.

Keywords

EN

sample size; clinical trial; Monte Carlo methods; stochastic simulations

• Publisher: Główny Urząd Statystyczny
• Journal: Przegląd Statystyczny
• Year: 2022
• Volume: 69
• Issue: 4
• Pages: 20-28

Dates

published

2022

Contributors

author

Andrzej Tomski

• University of Silesia in Katowice, Institute of Mathematics

• https://orcid.org/0000000169440600

author

Barbara Gorzawska

• Parexel FSP, Parexel International

• https://orcid.org/0000000242638489

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Identifiers

DOI

10.59139/ps.2022.04.2

Biblioteka Nauki

2204289