Annals of Indian Academy of Neurology
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STATISTICALLY SPEAKING
Year : 2011  |  Volume : 14  |  Issue : 4  |  Page : 287-290

Design, data analysis and sampling techniques for clinical research


1 Department of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Trivandrum, India
2 Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
3 Department of Justice Administration, University of Louisville, Louiseville, USA

Correspondence Address:
Geetha Suresh
Department of Justice Administration, University of Louisville, Louisville
USA
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0972-2327.91951

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Statistical analysis is an essential technique that enables a medical research practitioner to draw meaningful inference from their data analysis. Improper application of study design and data analysis may render insufficient and improper results and conclusion. Converting a medical problem into a statistical hypothesis with appropriate methodological and logical design and then back-translating the statistical results into relevant medical knowledge is a real challenge. This article explains various sampling methods that can be appropriately used in medical research with different scenarios and challenges.


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