Design, data analysis and sampling techniques for clinical research

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dc.contributor.authorSuresh, K
dc.contributor.authorThomas, SV
dc.contributor.authorSuresh, G
dc.date.accessioned2017-03-10T03:26:11Z
dc.date.available2017-03-10T03:26:11Z
dc.date.issued2011
dc.description.abstractStatistical 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.
dc.identifier.citation14 ,4;287-290en_US
dc.identifier.uri10.4103/0972-2327.91951
dc.identifier.urihttps://dspace.sctimst.ac.in/handle/123456789/9559
dc.publisherANNALS OF INDIAN ACADEMY OF NEUROLOGY
dc.subjectNeurosciences & Neurology
dc.titleDesign, data analysis and sampling techniques for clinical research
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