Our statistical team is capable of supporting a variety of needs across the RTRN research community and will work closely with the study teams to adapt our services to meet their needs. 

Study Design, Sample Size Calculations & Power Analysis

Our statistical team collaborates with study investigators to determine the statistical design that best supports the hypotheses to be evaluated. Our team conducts power calculations to compare competing designs to select a sample size allocation that yields adequate power without  wasting valuable resources.  Our experience in randomized trials includes factorial designs and crossover designs.  We are also experienced in observational and epidemiological studies, such as case-control studies for rare events, population studies and surveys.

Statistical Analysis

In collaboration with study investigators, our biostatisticians will provide detailed statistical analysis planning which includes study hypotheses, types of measurements to be analyzed, and study design. We help to identify type of outcome (i.e., continuous, categorical, or time-to-event) and choice of randomization methods, any stratifying or clustering, repeated measurements, and potential missing data issues.

Data Analysis

We routinely use a wide variety of advanced statistical methods for data analysis.  Generalized linear mixed models, hierarchical linear models and multi-level modes are used for the repeated measure. For the genetic data analysis, we apply mixed model, variance comparison, and the random coefficient mode.  Our biostatistics team is able to adapt based on the study specifications and the needs of the investigators.

Reports, Publications and Presentations

Our statistical team is capable of supporting a variety of needs across the RTRN research community. Additional activities include but are not limited to reporting to the data safety monitoring board (DSMB) on safety and data integrity, and on the results of interim analyses for ongoing clinical trials. Our deep resources ensure that abstract, presentation, and manuscript preparation runs smoothly and that the results are of the highest possible quality. Our statisticians, epidemiologists, genetic data analyst and statistical programmer have a strong  record as primary authors and coauthors on publications and presentations.