Open AccessDesign, data analysis and sampling techniques for clinical research
Author(s) -
Karthik Suresh,
Sanjeev V Thomas,
Geetha Suresh
Publication year - 2011
Publication title -
annals of indian academy of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 31
eISSN - 1998-3549
pISSN - 0972-2327
DOI - 10.4103/0972-2327.91951
Subject(s) - statistical inference , data science , statistical analysis , sampling (signal processing) , research design , computer science , medical research , data mining , inference , medicine , management science , statistics , artificial intelligence , pathology , engineering , mathematics , filter (signal processing) , computer vision
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.