Meta-analyses, Including Indirect and Mixed Treatment Comparisons
We conduct systematic reviews and meta-analyses, using rigorous methodology to provide reliable and reproducible results. Meta-analysis combines the results of several studies that address a set of related research hypotheses. Our staff are trained in state-of-the art techniques to design and perform meta-analyses using a variety of software. Our statisticians perform direct and indirect comparisons using standard meta-analyses techniques and have experience with more complex methods including:
Meta-regression
Mixed treatment comparisons (MTC)
Network meta-analysis
Bayesian approaches
Systematic reviews aim to minimize bias and random error by using rigorous and reproducible methods. When combined with meta-analyses, to synthesize the evidence quantitatively, the techniques may generate new information not available from individual studies. Results may be used as supplemental evidence or for input to economic models. In some cases, such as with HTAs, meta-analyses may be required by regulatory agencies.
