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dc.contributor.authorSerdar, Ceyhan Ceran
dc.contributor.authorCihan, Murat
dc.contributor.authorYucel, Dogan
dc.contributor.authorSerdar, Muhittin A
dc.date.accessioned2021-01-25T07:21:06Z
dc.date.available2021-01-25T07:21:06Z
dc.date.issued2021-02-15
dc.identifier.other33380887
dc.identifier.urihttp://hdl.handle.net/20.500.12591/496
dc.description.abstractCalculating the sample size in scientific studies is one of the critical issues as regards the scientific contribution of the study. The sample size critically affects the hypothesis and the study design, and there is no straightforward way of calculating the effective sample size for reaching an accurate conclusion. Use of a statistically incorrect sample size may lead to inadequate results in both clinical and laboratory studies as well as resulting in time loss, cost, and ethical problems. This review holds two main aims. The first aim is to explain the importance of sample size and its relationship to effect size (ES) and statistical significance. The second aim is to assist researchers planning to perform sample size estimations by suggesting and elucidating available alternative software, guidelines and references that will serve different scientific purposes.en_US
dc.language.isoengen_US
dc.publisherTıp Fakültesien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectbiostatisticsen_US
dc.subjecteffect sizeen_US
dc.subjectpower analysisen_US
dc.subjectsample sizeen_US
dc.titleSample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies.en_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.contributor.departmentTemel Tıp Bilimlerien_US


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