TY - JOUR
T1 - A simple method for converting an odds ratio to effect size for use in meta-analysis
AU - Chinn, S
PY - 2000/11/30
Y1 - 2000/11/30
N2 - A systematic review may encompass both odds ratios and mean differences in continuous outcomes. A separate meta-analysis of each type of outcome results in loss of information and may be misleading. It is shown that a In(odds ratio) can be converted to effect size by dividing by 1.81. The validity of effect size, the estimate of interest divided by the residual standard deviation, depends on comparable variation across studies. If researchers routinely report residual standard deviation, any subsequent review can combine both odds ratios and effect sizes in a single meta-analysis when this is justified. Copyright (C) 2000 John Wiley & Sons, Ltd.
AB - A systematic review may encompass both odds ratios and mean differences in continuous outcomes. A separate meta-analysis of each type of outcome results in loss of information and may be misleading. It is shown that a In(odds ratio) can be converted to effect size by dividing by 1.81. The validity of effect size, the estimate of interest divided by the residual standard deviation, depends on comparable variation across studies. If researchers routinely report residual standard deviation, any subsequent review can combine both odds ratios and effect sizes in a single meta-analysis when this is justified. Copyright (C) 2000 John Wiley & Sons, Ltd.
UR - http://www.scopus.com/inward/record.url?scp=0034736417&partnerID=8YFLogxK
U2 - 10.1002/1097-0258(20001130)19:22<3127::AID-SIM784>3.0.CO;2-M
DO - 10.1002/1097-0258(20001130)19:22<3127::AID-SIM784>3.0.CO;2-M
M3 - Article
VL - 19
SP - 3127
EP - 3131
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 22
ER -