A simple method for converting an odds ratio to effect size for use in meta-analysis.

by: S Chinn

Statistics in medicine, Vol. 19, No. 22. (30 November 2000), pp. 3127-3131.

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Abstract

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 ln(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.

@article{citeulike:2833123, abstract = {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 ln(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.}, address = {Department of Public Health Sciences, King's College, London, 5th floor, Capital House, 42 Weston Street, London SE1 3QD, UK. sue.chinn@kcl.ac.uk}, author = {Chinn, S. }, citeulike-article-id = {2833123}, issn = {0277-6715}, journal = {Statistics in medicine}, keywords = {effect, odds, power, ratio, size, statistical, teaching}, month = {November}, number = {22}, pages = {3127--3131}, posted-at = {2008-05-26 09:36:59}, priority = {0}, title = {A simple method for converting an odds ratio to effect size for use in meta-analysis.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11113947}, volume = {19}, year = {2000} }

RIS record

TY - JOUR ID - citeulike:2833123 L3 - citeulike-article-id:2833123 TI - A simple method for converting an odds ratio to effect size for use in meta-analysis. JF - Statistics in medicine VL - 19 IS - 22 SP - 3127 EP - 3131 AD - Department of Public Health Sciences, King's College, London, 5th floor, Capital House, 42 Weston Street, London SE1 3QD, UK. sue.chinn@kcl.ac.uk SN - 0277-6715 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 ln(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. KW - effect KW - odds KW - power KW - ratio KW - size KW - statistical KW - teaching AU - Chinn, S PY - 2000/11/30/ UR - http://view.ncbi.nlm.nih.gov/pubmed/11113947 ER -

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