Sample size estimation | Zendy

NGopi Chander | Zendy

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Sample size estimation

Author(s) -

NGopi Chander

Publication year - 2017

Publication title -

the journal of indian prosthodontic society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.419

H-Index - 20

eISSN - 1998-4057

pISSN - 0972-4052

DOI - 10.4103/jips.jips_169_17

Subject(s) - sample size determination , statistics , observational study , confidence interval , statistical power , research design , sample (material) , statistical hypothesis testing , statistical inference , population , statistical significance , clinical study design , computer science , econometrics , mathematics , medicine , clinical trial , environmental health , chemistry , chromatography , pathology

The sample size is the number of participants or specimen required in a study and its estimation is important for both in vivo and in vitro studies. The sample size establishes the power and the impact of the study. The determined size should be optimum and has to be obtained by the scientific method. The arbitrary calculation with less or more can affect the study design and its significance. The larger size can lead to ethical concerns, time consumption, and financial wastage, and smaller sample size affects the effectiveness of the study.[1]

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