The Biostatisticians collaborate with UMGCCC investigators and provide them
access to state-of-the-art statistical science, expert statistical analysis
and sound statistical reporting in all areas of statistical experimental design, analysis and modeling and stochastic modeling, including:
- Study Design. This applies to both laboratory experiments (e.g., xenograft models) and
clinical trials. Statistical evaluation of sample sizes needed to achieve study
objectives, endpoint and control selection, randomization and statistical power
analysis and simulation.
- Interim Analyses and Monitoring for Clinical Trials. Interim analyses consistent
with statistical principles for multiple testing and sequential analyses.
- Statistical Analysis. Analysis plan is provided in the protocol (before data
collection takes place) and followed. Statisticians assess whether the data
satisfy model assumptions implicit in the analysis software to ensure the most
appropriate statistical methods are used for analysis.
- Statistical Programming. Major statistical software are available including
SAS, S-PLUS, Stata, StatXact and East. The Biostatistics Shared Service also
develops computer programs for complex statistical problems.
- Biostatistics Training. Introductory seminars are provided on biostatistics
tailored to cancer clinical investigators and fellows in hematology and oncology.
The goal is to enhance understanding of biostatistical concepts and thus to
improve clinical protocol.
- Reports and Publications. Statistical design and analyses reports are
communicated to investigators via memoranda. The memoranda for a project document
study design, data source, statistical methods and analysis summaries and is
written in a form appropriate for the statistical section for that project (e.g.,
a manuscript or a grant application).