By Dankmar Bohning, Sasivimol Rattanasiri, Ronny Kuhnert
Offering trustworthy info on an intervention impact, meta-analysis is a robust statistical software for reading and mixing effects from person stories. Meta-Analysis of Binary info utilizing Profile Likelihood makes a speciality of the research and modeling of a meta-analysis with separately pooled information (MAIPD). It provides a unifying method of modeling a therapy impact in a meta-analysis of medical trials with binary results.
After illustrating the meta-analytic state of affairs of an MAIPD with a number of examples, the authors introduce the profile probability version and expand it to deal with unobserved heterogeneity. They describe parts of log-linear modeling, methods for locating the profile greatest chance estimator, and substitute techniques to the profile chance technique. The authors additionally speak about easy methods to version covariate details and unobserved heterogeneity at the same time and use the profile chance option to estimate odds ratios. the ultimate chapters examine quantifying heterogeneity in an MAIPD and exhibit how meta-analysis could be utilized to the surveillance of scrapie.
Containing new advancements no longer to be had within the present literature, besides easy-to-follow inferences and algorithms, this e-book permits clinicians to successfully study MAIPDs.