z-logo
Premium
Accumulating evidence from independent studies: What we can win and what we can lose
Author(s) -
Light Richard J.
Publication year - 1987
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780060304
Subject(s) - computer science , robustness (evolution) , variety (cybernetics) , variance (accounting) , task (project management) , psychology , data science , risk analysis (engineering) , medicine , artificial intelligence , economics , biochemistry , chemistry , accounting , management , gene
Abstract When asking ‘what is known’ about a drug or therapy or program at any time, both researchers and practitioners often confront more than a single study. Facing a variety of findings, where conflicts may outweigh agreement, how can a reviewer constructively approach the task? In this discussion, I will outline some questions that can only be answered by examining a group of independent studies. I will also discuss some pitfalls that sometimes swamp the benefits we can gain from synthesis. Most of these pitfalls are avoidable if anticipated early in a review. The benefits of a quantitative review include information about how to match a treatment with the most promising recipients; increasing the statistical power to detect a significant new treatment; telling us when ‘contextual effects’ are important; helping us to assess the stability and robustness of treatment effectivenes; and informing us when research finds are especially sensitive to investigators' research design. The pitfalls include aggregating data from studies on different populations; aggregating when there is more than one underlying measure of central tendency; and emphasizing an average outcome when partitioning variance gives far more useful information.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here