Member Training: Writing Study Design and Statistical Analysis Plans

One component often overlooked in the ‘Define & Design’ phase of a study, is writing the analysis plan. The statistical analysis plan integrates a lot of information about the study including the research question, study design, variables and data used, and the type of statistical analysis that will be conducted.

In this training, we consider the components of the study design and statistical analysis plan and put together a plan for an example study. The analysis plan is a map for intentions and may not be followed exactly; the plan can form a basis for subsequent reports and manuscripts.

Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

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About the Instructor

Julia Sharp is faculty in the Department of Statistics at Colorado State University where she is also the Director of the Graybill Statistics & Data Science Laboratory.  She is also the owner of Sharp Analytics LLC, where she is the lead statistical collaborator.  She earned her M.S. and Ph.D. in Statistics from Montana State University.

Julia has experience collaborating with researchers in many domains, using her expertise in applied statistics to inform and advance scientific research.  Her statistical toolbox is broad and includes study design, analysis of a wide-range of data types (e.g., repeated observations over time, categorical data), and knowledge of popular statistical computing software.

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The Pathway: Steps for Staying Out of the Weeds in Any Data Analysis
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