Observational Studies

Analyzing real-world, observational data requires specialized statistical skills. Our biostatisticians work closely with RTI-HS outcomes researchers to design and analyze data from a wide range of study types, including surveys, cross-sectional or longitudinal non-interventional studies, registries, chart abstractions, and electronic medical records (EMRs). 

Registry and Database Analyses

Our biostatisticians are knowledgeable in the statistical techniques necessary to analyze non-randomized studies. These studies require special consideration to address potential confounding, typically using methods such as propensity scores. Our researchers have the necessary expertise to define exposure and outcome(s), and to account for censoring and missing data. In addition, we assist researchers in the interpretation of the results and examination of potential biases so that you can be confident in using your results to make informed decisions.

Survey Analyses

Whether it is a simple survey or a complex multi-stage survey design, our statisticians have extensive experience in the planning and analysis of surveys including survey sampling and weighting.  We understand that analyses of complex sample surveys require the use of appropriate statistical software that accounts for the sample design so that the results accurately answer your research questions about the population of interest. 

Recent Publications

Laetsch TW, Myers GD, Baruchel A, Dietz AC, Pulsipher MA, Bittencourt H, Buechner J, De Moerloose B, Davis KL, Nemecek E, Driscoll T, Mechinaud F, Boissel N, Rives S, Bader P, Peters C, Sabnis HS, Grupp SA, Yanik GA, Hiramatsu H, Stefanski HE, Rasouliyan L, Yi Lan, Shah S, Zhang J, Harris AC. Patient-reported quality of life after tisagenlecleucel infusion in children and young adults with relapsed or refractory B-cell acute lymphoblastic leukaemia: a global, single-arm, phase 2 trial. Lancet Oncol. 2019 Oct 9. doi: 10.1016/S1470-2045(19)30493-0.