Session Information
2010 Midyear Clinical Meeting
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Basic Statistics: A Non-Threatening Approach to the Use of Statistics in Clinical Trials
Track:
Pre-Meeting Workshops (CE)
Program Code: 351-L04
Date: Sunday, December 5, 2010
Time: 8:00 AM to 5:00 PM EST
Location:
207B-ACC
PRESENTER:
Dr. James DeMuth, PhD, Professor, School of Pharmacy, University of Wisconsin Madison
PROGRAM CHAIR:
Dr. James DeMuth, PhD, Professor, School of Pharmacy, University of Wisconsin Madison
Description
Workshop Fee: $210
Pre-registration is required; Registration must received on or before November 22.
Registration is limited to 35 participants. Lunch is on your own.
Learn how to apply basic statistical tests to research reports typically seen in medical literature. This workshop explores the most commonly used tests including: t-tests, analysis of variance, tests for equivalence, z-test of proportions, odds ratios and relative risk ratios, chi-square, correlation, and linear regression. Practical examples and problems drawn from scientific research will be used to illustrate statistical concepts and mathematical procedures. Emphasis is on the appropriate use of statistics and the interpretation of their results.
Pre-registration is required; Registration must received on or before November 22.
Registration is limited to 35 participants. Lunch is on your own.
Learn how to apply basic statistical tests to research reports typically seen in medical literature. This workshop explores the most commonly used tests including: t-tests, analysis of variance, tests for equivalence, z-test of proportions, odds ratios and relative risk ratios, chi-square, correlation, and linear regression. Practical examples and problems drawn from scientific research will be used to illustrate statistical concepts and mathematical procedures. Emphasis is on the appropriate use of statistics and the interpretation of their results.
LEARNER OUTCOMES:
- Define statistical terms commonly encountered in the literature.
- Discuss the major type of variables and define the general rule of probability in inferential statistics.
- Evaluate example problems to identify the type of variables involved and the most appropriate statistical test(s) to use.
- List various graph and numeric methods for presenting descriptive statistics.
- Select the appropriate statistical test given the type of data presented.
No items are available for this session.