University of Colorado Denver

10-28 R25 Web Banner

Course Overview


The Clinical Sciences Program of the Colorado Clinical and Translational Sciences Institute and the University of Colorado Denver are delighted to sponsor and support a three-day power and sample size workshop. The short course, taught by Keith E. Muller, Ph.D., professor in the University of Florida College of Medicine, and Deborah H. Glueck, Ph.D., associate professor in the University of Colorado School of Public Health, will give scientists training for selecting a valid sample size for longitudinal and multilevel study designs. The workshop is accessible to all, from graduate students to senior researchers, and requires only basic statistical background.

Date


Host Location Date Registration Deadline
University of Colorado Denver Gossard Forum at Fulginiti Pavilion Tues., Jan. 23, 2018 – Thurs., Jan. 25, 2018 Tues., Jan. 16, 2018

Cost


UCD Students & Affiliates Register through UCD registrar’s office
Non-UCD Affiliates $1,000

Registration


UCD Students & Affiliates Register for CLSC 6585
Non-UCD Affiliates Click Here

For questions, please contact Sandra Salloum, academic specialist, at SandraSalloum@ufl.edu.

Workshop Objectives


At the end of the workshop, attendees will be able to:

  • Understand a framework and strategy for study planning
  • Write study aims as testable hypotheses
  • Describe a longitudinal and multilevel study design
  • Write a statistical analysis plan
  • Ensure sufficient sample size for racial or ethnic subgroups for studies of disparities
  • Demonstrate the feasibility of recruitment
  • Describe expected missing data and dropout
  • Write a power and sample size analysis that is aligned with the planned statistical analysis
  • Write the design, analysis, power and sample size sections for a grant
  • Use expert feedback to improve the product

Workshop Schedule


While the exact content of each workshop will vary, please see the model schedule below for an idea of what is covered each day.

Day 1: Study Design
  • 9 a.m.-12 p.m.: Understanding four common study designs and factors in experimental design
  • 12-1 p.m.: Instructional workshop on the ethics of power and sample size
  • 1-2 p.m.: Optional accessible walk and talk with faculty or break time
  • 2-5 p.m.: Understanding the hypothesis, linking study designs to statistical models and understanding types of study outcomes
Day 2: Power and Sample Size Analysis
  • 9 a.m.-12 p.m.: Choosing the appropriate statistical test, understanding correlation structure in multilevel and longitudinal studies, understanding power and Type I error and aligning power analysis and data analysis
  • 12-1 p.m.: Working lunch with faculty on class projects or optional break
  • 1-2 p.m.: Optional accessible walk and talk with faculty or break time
  • 2-5 p.m.: Summarizing a study design, predicting missing data and dropout and accounting for missing data and dropout
Day 3: Writing the Grant
  • 9 a.m.-12 p.m.: Collecting inputs for power analysis, studying power via statistical simulation, demonstrating recruitment feasibility and handling multiple study aims
  • 12- 1 p.m.: Working lunch with faculty on class projects or optional break
  • 1-2 p.m.: Optional accessible walk and talk with faculty or break time
  • 2-5 p.m.: Writing the sample size section for your grant, graphics for power and sample size, power for subgroup analysis and getting funded
Post-Class Assignments
  • Four homework assignments
  • One two-hour in-person or online lab to receive guidance on assignments 1-4
  • Final assignment
  • Consisting of a one-page statistical analysis plan and power or sample size analysis
  • Three hours of in-person or online lab to receive help on final assignment.
  • One-hour interactive video conference via GoToMeeting with students and workshop instructors