Date:
Tue, 13 Mar 2018 - Thu, 15 Mar 2018

Description

NOTE: UNC affiliates should contact Melissa Hobgood at This email address is being protected from spambots. You need JavaScript enabled to view it. to register for or to audit this workshop as BIOS 690

For more information on this event click here.

This three-day power and sample size workshop will provide training for scientists in selecting a valid sample size for multilevel and longitudinal study designs. The workshop is accessible to all, from graduate students to senior researchers, and requires a basic statistical background. Instructors are Keith E. Muller, Ph.D., professor at the University of Florida College of Medicine, and Deborah H. Glueck, Ph.D., associate professor at the University of Colorado School of Public Health. Sponsors include the North Carolina Translational and Clinical Sciences (NC TraCS) Institute and the Gillings School of Global Public Health Department of Biostatistics at the University of North Carolina at Chapel Hill and the University of Florida’s Clinical and Translational Science Institute.

University of North Carolina at Chapel Hill
Rosenau Hall, 133
Tues., March 13, 2018 – Thurs., March 15, 2018
Registration Deadline Tues., March 6, 2018

Cost:

UNC Students & Affiliates
Contact Melissa Hobgood at This email address is being protected from spambots. You need JavaScript enabled to view it. to begin registration:
Course Number: BIOS 690 (1 credit)
Section: 001

Non-UNC Affiliates: $1,000

Registration

UNC Students & Affiliates
Contact Melissa Hobgood at This email address is being protected from spambots. You need JavaScript enabled to view it. to begin registration:
Course Number: BIOS 690 (1 credit)
Section: 001

Non-UNC Chapel Hill Affiliates: Click Here

For questions, please contact Sandra Salloum, academic specialist, at This email address is being protected from spambots. You need JavaScript enabled to view it..

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

More Information

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