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Study designs: Part 7 – Systematic reviews
Author(s) -
Priya Ranganathan,
Rakesh Aggarwal
Publication year - 2020
Publication title -
perspectives in clinical research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.649
H-Index - 8
eISSN - 2229-5488
pISSN - 2229-3485
DOI - 10.4103/picr.picr_84_20
Subject(s) - systematic review , research design , computer science , meta analysis , management science , clinical study design , data science , medline , medicine , statistics , engineering , mathematics , clinical trial , pathology , biology , biochemistry
In this series on research study designs, we have so far looked at different types of primary research designs which attempt to answer a specific question. In this segment, we discuss systematic review, which is a study design used to summarize the results of several primary research studies. Systematic reviews often also use meta-analysis, which is a statistical tool to mathematically collate the results of various research studies to obtain a pooled estimate of treatment effect; this will be discussed in the next article.

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