Article type
Year
Abstract
Objectives:
The Cochrane Statistical Methods Group has developed a series of workshops addressing statistical guidelines formulated in the Cochrane Handbook for Systematic Reviews of Interventions. This workshop will provide review authors with knowledge about issues surrounding meta-analysis of binary and continuous outcomes.
Description:
Binary and continuous data are commonly encountered in health care. Pooling intervention effects from binary and continuous data presents unique methodological issues; some of these issues will be discussed in this workshop.
A brief introduction to meta-analysis of binary and continuous outcomes will be included, consisting of data extraction (extraction of event frequencies and/or effect estimates, and the extraction of standard deviations from standard errors, confidence intervals, test statistics and P values) and dealing with outcomes measured on different scales. More complex issues will be discussed, including options for pooling estimates of intervention effect when a mix of results from analyses using change from baseline and final values have been reported, and use of the generic inverse variance method. Issues will be illustrated by examples.
The Cochrane Statistical Methods Group has developed a series of workshops addressing statistical guidelines formulated in the Cochrane Handbook for Systematic Reviews of Interventions. This workshop will provide review authors with knowledge about issues surrounding meta-analysis of binary and continuous outcomes.
Description:
Binary and continuous data are commonly encountered in health care. Pooling intervention effects from binary and continuous data presents unique methodological issues; some of these issues will be discussed in this workshop.
A brief introduction to meta-analysis of binary and continuous outcomes will be included, consisting of data extraction (extraction of event frequencies and/or effect estimates, and the extraction of standard deviations from standard errors, confidence intervals, test statistics and P values) and dealing with outcomes measured on different scales. More complex issues will be discussed, including options for pooling estimates of intervention effect when a mix of results from analyses using change from baseline and final values have been reported, and use of the generic inverse variance method. Issues will be illustrated by examples.