Session Information
2013 Midyear Clinical Meeting
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Basic Statistics: A Non-Threatening Approach to the Use of Statistics in Clinical Trials 2013
Track:
Pre-Meeting Workshops (CE)
Program Code: 05WK
Date: Sunday, December 8, 2013
Time: 8:00 AM to 5:00 PM EST
Location:
W305 A, Level 3
PRESENTER:
James DeMuth
PROGRAM CHAIR:
Dr. James DeMuth, PhD, Professor, School of Pharmacy, University of Wisconsin Madison
Description
Workshop Fee: $310 (Lunch included)
Enrollment is limited and workshops fill quickly, so register soon. Registration must be received on or before November 22.
Registration limited to 40 participants.
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.
Enrollment is limited and workshops fill quickly, so register soon. Registration must be received on or before November 22.
Registration limited to 40 participants.
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 types 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 graphic 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.