Exponent’s team of epidemiologists, biostatisticians, and scientists are well-versed in conducting meta-analyses and pooled analyses of observational and clinical data. Our staff is trained in conducting analyses of heterogeneity across studies, sensitivity analyses, subgroup analyses, and examinations of publication bias. Exponent’s personnel has expertise in statistical computing, utilizing a wide-variety of software packages, including STATA, SAS, SPSS, Comprehensive Meta-Analysis, Meta-Analysis MIX, and Episheet. Exponent scientists have conducted a wide variety of scientific assessments that rely upon meta-analysis methodology. For example, our capabilities include: determining an exposure-response relation across a body of scientific literature, identifying sources of variation across study groups, revealing successful intervention strategies and identifying effective treatment options.
About Meta-analysis

Meta-analysis is a formal quantitative method for pooling scientific data reported from multiple studies, therefore allowing for an evaluation of the treatment or exposure effect on a specific health outcome. In a meta-analysis, researchers assess heterogeneity across studies, examine subgroups of studies to determine if selected subsets of the research data provide similar or different results, and calculate summary relative risk estimates. A meta-analysis provides a statistically precise summary risk estimate, as well as a better understanding of the consistency of reported findings (or lack of) in the research literature. A meta-analysis is distinct from a qualitative or narrative review in that a meta-analysis involves a systematic review of the literature, relevant data extraction, and quantitative analyses of data across multiple studies. A pooled analysis is similar to a traditional meta-analysis, except that participant-level data from multiple studies are combined and analyzed as a single dataset.

Sample Publications and Presentations Pertaining to Meta-Analyses of Epidemiologic Studies 

Exponent staff has an impressive array of publications, abstracts, technical reports, poster presentations, and forum presentations in which meta-analysis techniques were used to evaluate exposure and health outcomes. 

Tsuji JS, Alexander DD, Perez V, Mink PJ. Arsenic exposure and bladder cancer: quantitative assessment of studies in human populations to detect risks at low doses. Toxicology. 2014 Mar 20;317:17-30. 

Kanas GP, Taylor A, Primrose JN, Langeberg WJ, Kelsh MA, Mowat FS, Alexander DD, Choti MA, Poston G. Survival after liver resection in metastatic colorectal cancer: review and meta-analysis of prognostic factors. Clin Epidemiol. 2012;4:283-301. 

Reiss R, Neal B, Lamb JC 4th, Juberg DR. Acetylcholinesterase inhibition dose-response modeling for chlorpyrifos and chlorpyrifos-oxon. Regul Toxicol Pharmacol. 2012 Jun;63(1):124-31. 

Halpern MT, Schmier JK, Snyder LM, Asche C, Sarocco PW, Lavin B, Nieman R, Mandell LA. Meta-analysis of bacterial resistance to macrolides. J Antimic Chemo 2005; 55(5):748–757. 

Goodman M, Teta MJ, Hessel PA, Garabrandt DH, Craven VA, Scrafford CG, Kelsh MA. Mesothelioma and lung cancer among motor vehicle mechanics: A meta-analysis. Ann Occup Hyg 2004; 48(4):309–326. 

Halpern MT, Schmier JK, Van Kerkhove M, Watkins M, Kalberg CJ. Impact of long term inhaled corticosteroid therapy on bone mineral density: Results of a meta-analysis. Ann Allergy Asthma Immunol 2004; 92:201–207.