| dc.contributor.author | Obare, D. M. | |
| dc.contributor.author | Njoroge, Gladys G. | |
| dc.contributor.author | Muraya, M. M. | |
| dc.date.accessioned | 2022-04-19T20:52:50Z | |
| dc.date.available | 2022-04-19T20:52:50Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Obare, D. M., Njoroge, G. G. and Muraya, M. M. (2021). General overview of sample size estimation for randomized controlled clinical trials. In: Isutsa, D. K. (Ed.). Proceedings of the 7th International Research Conference held in Chuka University from 3rd to 4 th December 2020, Chuka, Kenya, p. 537-546 | en_US |
| dc.identifier.uri | http://repository.chuka.ac.ke/handle/chuka/16213 | |
| dc.description | obaredominic87@gmail.com; moses.muraya@chuka.ac.ke | en_US |
| dc.description.abstract | Calculation of the minimum sample size needed to meet the primary study objective is a key feature of the design of
any clinical trial. The other reason a priori sample size determination is to limit participant harm or loss of clinical
benefit to as few study participants as possible. This article generally reviews the basic principles that determine an
appropriate sample size and provides methods for its calculation in some simple, yet common, cases. Sample size is
closely tied to statistical power, which is the ability of a study to enable detection of a statistically significant difference
when there truly is one. A trade-off exists between a feasible sample size and adequate statistical power | en_US |
| dc.description.sponsorship | Chuka University | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Chuka University | en_US |
| dc.subject | Clinical trial | en_US |
| dc.subject | Sample size | en_US |
| dc.subject | Statistical power | en_US |
| dc.subject | Randomization | en_US |
| dc.subject | Review | en_US |
| dc.subject | Participant. | en_US |
| dc.title | GENERAL OVERVIEW OF SAMPLE SIZE ESTIMATION FOR RANDOMIZED CONTROLLED CLINICAL TRIALS | en_US |
| dc.type | Article | en_US |
