State of the art and science associated with the use of statistical models used in the meta-analysis of clinical data.
from Massachusetts Biotechnology Council
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Friday, June 6, 2008, 8:00am - 10:00am
State of the art and science associated with the use of statistical models used in the meta-analysis of clinical data.
Meta-analysis, the quantitative analysis of data collected in a systematic review of the literature, is a key part of evidence based medicine. It consists of a set of statistical techniques for combining information from the published results of clinical studies to summarize treatment efficacy or diagnostic accuracy. Although meta-analysis has traditionally provided a single summary estimate of effect, many reviews suggest substantial heterogeneity of results which an appropriate summary of the information should not ignore. The power of meta-analysis lies then not just in enabling the use of more data to increase precision of a single number summary, but also in informing how efficacy or accuracy varies across different groups of individuals. In turn, this promotes targeting the use of drugs and devices to those for whom they are most effective. This talk will discuss a number of statistical techniques used in meta-analysis, starting with an overview of the general idea of weighted averages and proceeding to an overview of techniques for appropriately incorporating sources of heterogeneity and variation that characterize data from systematic reviews.
SPEAKER
Dr. Schmid is Director of the Biostatistics Research Center in the Institute for Clinical Research and Health Policy Studies at Tufts-NEMC and Professor of Medicine at Tufts University School of Medicine and of Clinical Research in the Sackler School of Graduate Biomedical Sciences.
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