Literature DB >> 20736385

Sample size calculation and power analysis: a quick review.

Karen Fitzner1, Elizabeth Heckinger1.   

Abstract

Diabetes educators conducting research need a basic understanding of statistical concepts so study findings are useful and can be read with confidence. Selecting an adequate sample size is a key step that needs to be considered early in the process of designing a research study. A sample size too small will not provide reliable answers to the study questions asked or research hypotheses needing to be tested. A sample size that is too big can make the study unwieldy, wasting both time and effort. An adequate sample size uses resources and time in the most cost-effective manner and is essential to producing useful research findings. The purpose of this article is to understand the importance of selecting an adequate sample size in gaining information from a small group (sample) that can be generalized to a larger group (population) along with discussing power analyses.

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Year:  2010        PMID: 20736385     DOI: 10.1177/0145721710380791

Source DB:  PubMed          Journal:  Diabetes Educ        ISSN: 0145-7217            Impact factor:   2.140


  11 in total

1.  Risk of infection after iatrogenic perforation of the gut wall? Evaluation of preventive strategies in a randomized controlled animal trial.

Authors:  Mark Ellrichmann; Shantiswaroop Dhar; Klaus-Gerd Hadeler; Frauke Seehusen; Tamzin Cuming; Andrea T Feßler; Heiner Niemann; Stefan Schwarz; Annette Fritscher-Ravens
Journal:  Surg Endosc       Date:  2015-10-20       Impact factor: 4.584

Review 2.  Sample size estimation in epidemiologic studies.

Authors:  Karimollah Hajian-Tilaki
Journal:  Caspian J Intern Med       Date:  2011

3.  Power Analysis and Sample Size, When and Why?

Authors:  Özgür Kemal
Journal:  Turk Arch Otorhinolaryngol       Date:  2020-03-01

4.  Statistical power in quantitative diffusion MRI of tumor response: strategies for future studies.

Authors:  Ted K Yanagihara; Benjamin Kennedy; Krishna Surapaneni; Jeffrey N Bruce
Journal:  Acad Radiol       Date:  2011-12-16       Impact factor: 3.173

Review 5.  Minimally invasive versus conventional approaches in total knee replacement/arthroplasty: A review of the literature.

Authors:  Themistoklis Tzatzairis; Aliki Fiska; Athanasios Ververidis; Konstantinos Tilkeridis; Konstantinos Kazakos; Georgios I Drosos
Journal:  J Orthop       Date:  2018-03-27

6.  Risk factors for preeclampsia in infertile Chinese women with polycystic ovary syndrome: A prospective cohort study: Methodological issues.

Authors:  Saeid Safiri; Erfan Ayubi
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-07-18       Impact factor: 3.738

Review 7.  Explaining microbial phenotypes on a genomic scale: GWAS for microbes.

Authors:  Bas E Dutilh; Lennart Backus; Robert A Edwards; Michiel Wels; Jumamurat R Bayjanov; Sacha A F T van Hijum
Journal:  Brief Funct Genomics       Date:  2013-04-26       Impact factor: 4.241

8.  How Many Subjects are Needed for a Visual Field Normative Database? A Comparison of Ground Truth and Bootstrapped Statistics.

Authors:  Jack Phu; Bang V Bui; Michael Kalloniatis; Sieu K Khuu
Journal:  Transl Vis Sci Technol       Date:  2018-03-02       Impact factor: 3.283

9.  The Human Microbiome Project: a community resource for the healthy human microbiome.

Authors:  Dirk Gevers; Rob Knight; Joseph F Petrosino; Katherine Huang; Amy L McGuire; Bruce W Birren; Karen E Nelson; Owen White; Barbara A Methé; Curtis Huttenhower
Journal:  PLoS Biol       Date:  2012-08-14       Impact factor: 8.029

10.  Opportunities and challenges for junior investigators conducting pain clinical trials.

Authors:  Meredith C B Adams; Mark C Bicket; Jamie D Murphy; Christopher L Wu; Robert W Hurley
Journal:  Pain Rep       Date:  2019 May-Jun
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