Statistics provides a foundation for designing, conducting, and analyzing experiments and studies based on data subject to random variation. Consequently, biostatistical and bioinformatics support is critical to many investigators at Cedars-Sinai, and biostatisticians play a fundamental role in both pre- and post-funding award stages of most research studies. The Biostatistics and Bioinformatics Core is a shared institutional resource for biostatistical and bioinformatics consulting and related methodological research. It is recognized as a critical component of the research infrastructure at Cedars-Sinai and serves as a focal point from which institute investigators may draw statistical expertise for planning, management and analysis of their studies. Faculty and staff also develop, test and implement various techniques of statistical analysis, including mathematical modeling, applicable to medical research. Types of research supported include clinical trials, translational research, epidemiology, and behavioral and basic science.

Faculty and staff at the Biostatistics and Bioinformatics Core:

Coordinate and manage statistical activities at Cedars-Sinai to ensure that investigators have ready access to statistical consultation and support
Provide statistical expertise in the design of experiments and studies, including research proposal development, sample size determination, randomization procedures and plans for interim reviews and final analysis
Assist with the writing of statistical components of manuscripts
Review the integrity and statistical soundness of all studies involving human subjects
Provide statistical analysis for projects using appropriate statistical and computing methodologies and assist in the interpretation and presentation of results
Interact and collaborate with the Clinical Research Office in the development of protocols and the monitoring and reporting of clinical data
Maintain a computing facility with up-to-date software for statistical analysis to support program project investigators
Conduct biostatistical and bioinformatics methodology research on practical problems arising in basic science populational and clinical studies