Abstract
It is common to measure continuous outcomes using different scales (eg, quality of life, severity of anxiety or depression), therefore these outcomes need to be standardized before pooling in a meta-analysis. Common methods of standardization include using the standardized mean difference, the odds ratio derived from continuous data, the minimally important difference, and the ratio of means. Other ways of making data more meaningful to end users include transforming standardized effects back to original scales and transforming odds ratios to absolute effects using an assumed baseline risk.
Original language | English (US) |
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Article number | k4817 |
Journal | BMJ (Online) |
Volume | 364 |
DOIs | |
State | Published - 2019 |
ASJC Scopus subject areas
- General Medicine