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Biostatistics Guide: Home

This guide will point you to resources related to biostatistics and quantitative data analyses.

Welcome to the Biostatistics Guide!

Welcome to the Biostatistics Guide!

Brought to you by the Biostatistics Consulting Service and the Center for Biostatistics and Data Science at Washington University School of Medicine’s Institute for Informatics, Data Science and Biostatistics, this guide will point you to resources related to biostatistics and quantitative data analyses. These resources should not be viewed as an alternative to discussing your project with a biostatistician; such discussions are strongly recommended. Rather, the Biostatistics Consulting Service hopes that this curated collection of biostatistics resources empowers you to develop and/or extend your statistical knowledge and computing skills. While we have made reasonable efforts to ensure the accuracy of the linked information, we do not assume responsibility for information available beyond our own WUSTL domain.

Center for Biostatistics and Data Science

Request our services!

Request our services!

The Biostatistics Consulting Service provides biostatistical consultation and execution in a wide range of areas including:

  • statistical design of experiments and clinical trials
  • protocol development
  • database management
  • analysis of data and interpretation of results
  • preparing grant applications
  • sample size calculations
  • randomization schemes
  • REDCap data capture and data analysis

For more information about our services and fees, visit our webpage. To schedule a consultation with the Biostatistics Consulting Service, please submit a request using the service request intake form.

Contact us

Contact us

Let us know what you think about these resources biostatistics-consulting@wustl.edu. If you are a member of the Washington University community, the Biostatistics Consulting Service offers biostatistical support including consultation and execution involving study design, protocol development, grant applications, data management, study oversight, data analysis, and presentation of results.

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