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Welcome to CASPER: Calculating Accurate Sample Size and Parameter Estimates for Research. Here is some info about us:

  • Our team is led by two implementation scientists (Dr. Nate Williams and Dr. Rinad Beidas) and a statistician (Dr. Steve Marcus).
  • Our NIMH-funded (R21MH126076) study aims to create a model that enables investigators to efficiently determine required sample sizes for multilevel implementation studies in mental health settings by pooling information from multiple projects.
  • Drawing on NIMH-funded implementation studies from the last 10 years, the project will:
    • generate pooled estimates and ranges of design parameters needed for multilevel power analysis (e.g. ICC, effect size)
    • generate a model that investigators can use to determine the required sample size for their study based on its characteristics.