Janelle Rhorer, MS

Statistical Scientist

Janelle Rhorer, M.S., joined Statistics Collaborative, Inc. (StatCollab) in 1997. She is a member of the American Statistical Association and the Society for Clinical Trials.

Starting in 2000, Ms. Rhorer has supported Data Monitoring Committees (DMCs) as the independent reporting statistician. In this role, she has developed interim analysis plans, drafted DMC charters, managed teams of programmers, and written and presented interim monitoring reports to DMCs for large, multi-center Phase 2 and 3 clinical trials in oncology, cardiovascular diseases, influenza, ophthalmologic diseases, rare neuromuscular disorders and psychiatric disorders including treatment-resistant depression and bipolar disorder. Several of these projects have been in support of a single DMC overseeing multi-study development programs.

As a consulting statistician to a range of small and large pharmaceutical clients, Ms. Rhorer has managed the statistical aspects of clinical trial projects, written detailed statistical analysis plans, performed sample size calculations, conducted statistical analyses, and aided in the writing of clinical study reports for several therapeutic areas, including infectious diseases and diagnostic devices for malaria.

Ms. Rhorer has supported several studies evaluating vaccine efficacy, including authorship of a manuscript summarizing the results of meta-analyses evaluating the efficacy of live, attenuated influenza vaccines in children. In addition, she has co-authored a presentation discussing the management of DMCs and the role of the independent reporting statistician. At StatCollab, she also supervises biostatistical staff.

She received her B.S. magna cum laude in Mathematics from Colorado State University (1995) with an emphasis in Statistics and Psychology and her M.S. in Statistics from Iowa State University (1997). Her master’s project at Iowa State was titled “Assessment of Gender Differences in Educational and Career Choice among the Gifted: A Logistic Regression Approach”.

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