JSM 2005 Online Program

Abstract #303644

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	289
Type:	Luncheons
Date/Time:	Tuesday, August 9, 2005 : 12:30 PM to 1:50 PM
Sponsor:	Section on Teaching Statistics in the Health Sciences
Abstract - #303644
Title:	Integrating Statistical Software into Health Sciences Graduate Courses
Author(s):	Jodi Lapidus*+
Companies:	Oregon Health & Science University
Address:	Public Health & Preventive Medicine, Biostatistics, Portland, OR, 97239, United States
Keywords:	statistical software ; graduate education ; health sciences
Abstract:	Recently, at many academic medical centers, the amount of funded health research has grown, and there is an increased demand for individuals who can properly collect, manage, and analyze data. That is, biostatisticians and other health science professionals need to become savvy users of statistical software. Masters- and doctoral-level biostatistics students certainly need to learn to use one or more statistical packages effectively in addition to theory and methods, as they will likely use these tools daily during their careers. However, other types of health sciences students (e.g., clinicians, nurses, medical residents) take introductory biostatistics and/or research methods courses. While the amount of statistical theory these students require and receive may be less, they still should be exposed to the proper use of statistical software. We will discuss methods to integrate software effectively into various types of graduate-level courses and determine what software discussants have successfully (or unsuccessfully) used. We also will focus on how to balance theory, methods, and software use for students who have different statistics backgrounds and needs.

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