development of a project-based statistics course for applied biostatistics using stata frank snyder,...

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DEVELOPMENT OF A PROJECT-BASED STATISTICS COURSE FOR APPLIED BIOSTATISTICS USING STATA Frank Snyder, PhD, MPH Assistant Professor of Public Health Department of Health and Kinesiology College of Health and Human Sciences [email protected] 7/31/15 1

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Page 1: DEVELOPMENT OF A PROJECT-BASED STATISTICS COURSE FOR APPLIED BIOSTATISTICS USING STATA Frank Snyder, PhD, MPH Assistant Professor of Public Health Department

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DEVELOPMENT OF A PROJECT-BASED STATISTICS COURSE FOR APPLIED BIOSTATISTICS USING STATA

Frank Snyder, PhD, MPHAssistant Professor of Public Health

Department of Health and Kinesiology

College of Health and Human Sciences

[email protected]

7/31/15

Page 2: DEVELOPMENT OF A PROJECT-BASED STATISTICS COURSE FOR APPLIED BIOSTATISTICS USING STATA Frank Snyder, PhD, MPH Assistant Professor of Public Health Department

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OUTLINE

• Project-based statistics• Course content

• Course description• Textbooks• Online resources for students• Course format and philosophy• Assignments, final project, portfolio

• Conclusions

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PROJECT-BASED STATISTICS

• Workshop of Project-Based Statistics; Wesleyan University, 2012

• Project-based learning is an instructional approach that is designed to build students skills and offer real-world activities (Dierker et al., 2012).

• Structured, yet board to encourage critical thinking

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COURSE DESCRIPTION

• Goals:• Basic concepts and methods of statistics as used in

public health• Application• Interpretation • Basic terminology• How to conduct analyses• Quantify health relationships • Compute and interpret inferential statistical techniques• Use Stata to facilitate the storing, management,

displaying, analysis, and interpretation of health research-related data

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Heather M. Bush. (2012). Biostatistics: An Applied Introduction for the Public Health Practitioner (1st Edition). Delmar, Cengage Learning

Required textbook:

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PUBLIC HEALTH APPLICATION• A study is conducted to better

understand childhood obesity.• Children between the ages of 6

and 10 who attend public schools are given questionnaires and clinical exams.

• Questionnaire: Participation in school lunch programs, activity level, the amount of television watched, and video games played.

• Clinical exam: Height, weight, and body mass index (BMI) .

• A total of 610 children participate in the study.

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REQUIRED

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SUGGESTED

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COURSE FORMAT/STRUCTURE

• Lecture • Introduce and cover course topics

• Computer Lab • Apply topics covered in lecture and course

materials.

 

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COURSE PHILOSOPHY AND PARTICIPATION • Success depends upon understanding statistical concepts

and using Stata. • Focus on gaining skills• Listen, share insights, ask questions, and participate in

discussion • Work in groups to discuss issues• Brainstorming and thoughtful interaction

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COURSE CONTENT AND GRADES

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LAB ASSIGNMENTS

• Nearly each week • Typed lab assignments due

at the beginning of the next lab• Important part of course; feedback• Written in a professional style• Interpretations of statistical

and substantive significance are expected

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FINAL PROJECT/ORAL PRESENTATION• Presentation during the final week of class • Can be an organized poster session • Students complete related lab assignments • Includes a research plan:

• Literature review on chosen research topic • Evaluation of the importance of the research question• Description of the study methods (i.e., study design,

sampling procedures, and measures/variables). • At time of oral presentation student provides the instructor with:

• Hard copy of slides• Hard copy of Stata log file

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FINAL PROJECT/PRESENTATION• Provide a publically available dataset (e.g., Health Behavior

in School-aged Children)  • Approximately 10-minute presentation• Presentation PowerPoint template provided (Power Point or

poster)• Includes:

• Title• Introduction• Research question or questions• Methods• Results (including at least one graph)• Discussion

 

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PORTFOLIO

• Intention• Hardcopy/three-ring binder• Digital format • Submitted near the end of the course• At a minimum, includes:

• Class notes • Lecture slides • Notes student records while reading the text • Practice problems • Assignments with Stata Do-files.

• Organized

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DETAILED COURSE SCHEDULE

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ACKNOWLEDGEMENTS

• Dr. Lisa Dierker, Wesleyan University, Qualitative Analysis Center

• Dr. Alan Acock, Oregon State University

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CONTACT INFORMATION

Frank J. Snyder, Ph.D., M.P.H.

Assistant Professor

Department of Health and Kinesiology

College of Health and Human Sciences

Purdue University

800 West Stadium Ave.

West Lafayette, IN 47907

Ph: (765) 496-9486

Fax: (765) 496-1239

[email protected]

• Syllabus• Lab activities• State do-files• Research project description• Final presentation template