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# CLRES 2020 BIOSTATISTICS: STATISTICAL APPROACHES IN CLINICAL ...

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### CLRES 2020 BIOSTATISTICS: STATISTICAL APPROACHES IN CLINICAL ...

1. 1. CLRES 2020 BIOSTATISTICS: STATISTICAL APPROACHES IN CLINICAL RESEARCH Summer 2010 COURSE DESCRIPTION This course focuses on basic concepts and methods of statistics and their application to problems in the health and biomedical sciences. Topics include graphical and numerical descriptions and summarization of data, basic probability theory, probability distributions, point and confidence interval estimation, and hypothesis testing with emphasis on one- and two-sample comparisons involving continuous and categorical data. Correlation, simple linear regression, and analysis of variance will be introduced. Scholars will work with clinical datasets and will learn to analyze the data and explain their findings. This rigorous first course in biostatistics will serve as a prerequisite for other biostatistics courses. COURSE OBJECTIVES At the completion of the course, the trainees should: know the basic statistical procedures used to analyze data; be able to apply these techniques utilizing a standard statistical package; appreciate the concepts of random variation and bias; appreciate the wide range of applications of biostatistical methods to problems in medicine and public health; know some specific applications in a specialized area of interest; and recognize pitfalls in interpreting biomedical and public health data. INSTRUCTOR AND COURSE DIRECTOR (Joyce) Chung-Chou H. Chang, PhD Associate Professor Department of Medicine University of Pittsburgh 200 Meyran Avenue, Suite 200 Pittsburgh, PA 15213 Tel: 412-692-4868 Fax: 412-246-6954 Email: changj@pitt.edu
2. 2. CO-INSTRUCTORS Doug Landsittel, PhD Associate Professor Department of Medicine University of Pittsburgh 200 Meyran Avenue, Suite 200 Pittsburgh, PA 15213 Tel: 412-864-3019 Fax: 412-586-9672 Email: landsitteldp@upmc.edu Charity G. Moore, PhD Associate Professor Department of Medicine University of Pittsburgh 200 Meyran Avenue, Suite 200 Pittsburgh, PA 15213 Tel: 412-246-6961 Fax: 412-586-9672 Email: moorecg@upmc.edu TEACHING FELLOWS Jonathan Yabes, MS Department of Biostatistics University of Pittsburgh Tel: TBA Email: jgy2@pitt.edu Office hours: Thur 1-3pm Xinxin Dong, MS Department of Biostatistics University of Pittsburgh Tel: TBA Email: xid11@pitt.edu Office hours: Tue 10am-noon Elan D. Cohen, MS Center for Research on Health Care Data Center University of Pittsburgh Tel: 412-864-3014 Email: cohened@upmc.edu Office hours: Wed, Fri noon-1pm Yingda Jiang, MS Department of Biostatistics University of Pittsburgh Tel: TBA Email: yij5@pitt.edu Office hours: Fri 1-3pm MEETING TIMES & LOCATION July 7 – August 27, 2010 Lecture MWF 10:30am – 12noon Suite 305A/B, Parkvale Building (200 Meyran Avenue) Recitation
3. 3. Trainees should choose 1 of the following 4 sessions and stay in the same session throughout of the term. Session A1: T, Th 8:30 – 10:00am, Suite 305A, Parkvale Building Session A2: T, Th 8:30 – 10:00am, Suite 305B, Parkvale Building Session A3: T, Th 8:30 – 10:00am, Suite 222, Parkvale Building Session B1: T, Th 3:30 – 5:00pm, Suite 305A, Parkvale Building Lab Trainees should choose 1 of the following 2 sessions and stay in the same session throughout of the term. Session A: M 1:00 – 5:00pm, Suite 305A/B, Parkvale Building Session B: M 1:00 – 5:00pm, Suite 222, Parkvale Building CREDITS 4 credits (64 contact hours/week for 8 weeks) GRADING Letter grade based on 30% Best 13 of 16 homework assignments 5% Lab assignments 25% Midterm examination (in class) 30% Final examination (in class) 10% Class participation TEXTBOOK Rosner B (2006). Fundamentals of Biostatistics, 6th Edition. Duxbury Press, Pacific Grove, CA. Also recommended (optional): Glover TJ and Mitchell KJ (2008). An Introduction to Biostatistics, 2nd Edition. Waveland Press Inc, Long Grove, IL. van Belle G, Fisher LD, Heagerty PJ, and Lumley TS (2004). Biostatistics: A Methodology for the Health Sciences, 2nd Edition. Wiley, New York. Daniel WW (2004). Biostatistcs: A Foundation for Analysis in the Health Sciences, 8th Edition. Wiley, New York. Everitt BS (2009). Modern Medical Statistics: A Practical Guide. Wiley, New York. COMPUTING PACKAGE Stata 11, Stata Press, College Station, Texas (www.stata.com) We recommend that students purchase or have ready access to this program. It can be purchased through www.stata.com. University of Pittsburgh does have a Stata “Grand Plan” available so the cost is reduced to students in this course. Stata is available at the course computer labs, at the Posvar Hall, and at the Falk library in Scaife Hall. For details, please click Software Info in the manual box on the left.