A Modular Approach of Reporting Meta Analysis Statistics Using Forest Plots

2011 
Forest plots are the favorites for reporting frequently with the popularity of Meta Analysis Statistics associated with systematic review in the clinical research. They are used to report array of statistics like estimates of treatment effects between multiple studies or ratios between subgroups for multiple studies in consideration or also occasionally by other comparative features based on the objective of hypothesis analysis under consideration. Our paper will concentrate on the various array of techniques and methodologies to be incorporated from a statistical programmers point of view to get these bit and pieces of valuable information in an modular presentation fashion which will be composite of both Text and Graphical displays or one of them, based on specification requirements set by the clinical team for regulatory submissions or abstract publications incorporating a very powerful PROC TEMPLATE introduced in SAS® 9.2 with versatility of options at users disposal using lattice layout presentation and SAS Annotate Facility from Graph Template Language (GTL) in SAS 9.2 to create sophisticated analytical displays.
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