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Determining Sufficient Sample Size

September 20, 2016 @ 9:00 am - 1:30 pm

Modern Languages Building (MLB), Room 2001B

This workshop outlines how to calculate an appropriate sample size (n) to address the objectives of a research project. Participants will be led through essential steps for the design of a study: specifying the outcome variable, outlining hypothesis tests, estimating the variance or other “nuisance parameters,” determining power to detect particular differences, and balancing these considerations against cost to arrive at a final sample size. This work shop consists of two half days, September 20 and 21, 2016.

Participants have hands-on instruction in a computer classroom, using different sample size software such as nQuery Advisor (available via virtual sites and presented mostly by the instructor) or built-in sample size applications within Stata or SAS (hands-on experience during workshop) to compute sample sizes and plot power curves.  (This workshop does not cover survey research designs.)

Sample size calculations to be covered include:

* comparisons of two means or proportions

* analysis of variance (ANOVA) designs

* repeated measures designs

* regression designs

* case-control study designs.

Special requests from those attending the workshop are welcome.


To register for CSCAR Workshops, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode:


9:00 a.m. – 5:00 p.m., Monday through Friday
Closed 12pm – 1:00 p.m. every Tuesday for staff meeting.
Voice: (734) 764-7828 (4-STAT from a campus phone)
Fax: (734) 647-2440


Center for Statistical Consultation and Research (CSCAR)
The University of Michigan
3550 Rackham
915 E. Washington St.
Ann Arbor, MI 48109-1070


September 20, 2016
9:00 am - 1:30 pm
Event Category:


Introductory course in statistics, even if several years ago.
Class size
U-M Affiliated Fee
Not U-M Affiliated Fee
Enrollees will receive lecture notes and sample size problem examples.
Myra Kim is a Research Scientist at CSCAR and an Adjunct Professor in the Department of Biostatistics. She has taught biostatistics and collaborated with scientific investigators from many fields