Bioinformatics Club: "How to determine the sample size? All about power analysis" (10/23/2017)
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Xianjun Dong
Oct 23, 2017, 9:56:06 AM10/23/17
to Bioinformatics Club at BWH
Dear all,
Today Prof. Qiu Weiliang from Channing Division of Network Medicine will give us a talk on power analysis. Dr. Qiu is an Assistant Professor at Harvard Medical School and an Associate Biostatistician at Channing Division of Network Medicine, Brigham and Women's Hospital. Power analysis is a very crucial step for study design. Is my sample size large enough to capture the signal? What's my power to detect the effect? Should I get more samples? etc. Questions like these were frequently asked by in peer reviews. In this session, Dr. Qiu will cover most of the aspects of power analysis and show how to solve the problem in R or SAS. So please come in on time, as the room would be filled up quickly.
Time: Oct 23nd, 12:00-12:45 PM
Place: 9th-floor conference room of BTM building (60 Fenwood Road, Boston)
His slide will be shared here later: https://docs.google.com/spreadsheets/d/1aNVy0dgNd1T81w8LWWix1ILK0JjnlxOZHk2eRQZ6mDA/edit#gid=0
See you in 2 hours!
Best,
Xianjun Dong
Today Prof. Qiu Weiliang from Channing Division of Network Medicine will give us a talk on power analysis. Dr. Qiu is an Assistant Professor at Harvard Medical School and an Associate Biostatistician at Channing Division of Network Medicine, Brigham and Women's Hospital. Power analysis is a very crucial step for study design. Is my sample size large enough to capture the signal? What's my power to detect the effect? Should I get more samples? etc. Questions like these were frequently asked by in peer reviews. In this session, Dr. Qiu will cover most of the aspects of power analysis and show how to solve the problem in R or SAS. So please come in on time, as the room would be filled up quickly.
Time: Oct 23nd, 12:00-12:45 PM
Place: 9th-floor conference room of BTM building (60 Fenwood Road, Boston)
His slide will be shared here later: https://docs.google.com/spreadsheets/d/1aNVy0dgNd1T81w8LWWix1ILK0JjnlxOZHk2eRQZ6mDA/edit#gid=0
See you in 2 hours!
Best,
Xianjun Dong
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