Statistics E102 Fundamentals of Biostatistics Spring 2010 Thursdays 5:30pm – 7:30pm Sever Hall 113
Instructors Information
Bernard Rosner Professor of Medicine (Biostatistics), Harvard Medical School; Professor of Biostatistics, HSPH bernard.rosner@channing.harvard.edu Phone: 6175252743
Each 2 hour session will be divided into 2 lectures with a 10 minute break in the middle.
Texts and Reading Materials
Required: Rosner, B. Fundamentals of Biostatistics, 6^{th} edition, 2006. (Available at the Coop). (Includes CDRom containing Study Guide.)
Rosner, B. Lecture Notes for Fundamentals of Biostatistics, 2009. (Available online from course webpage: http://isites.harvard.edu/k65877 )
Optional: Snedecor, G.W. and Cochran W.G. Statistical Methods. 8^{th} edition, Iowa University Press, 1989.
Hogg, R. and Craig, A.T. Introduction to Mathematical Statistics, 5^{th} edition, PrenticeHall, 1995.
Berk, K.N. and Carey P. Data Analysis with Microsoft Excel, Duxbury Press, 1998.
Requirements
There will be an inclass Midterm Exam (open book) which will count for 30% of the grade.
There will be an inclass Final Exam (open book) which will count for 40% of the grade.
There will be weekly homework assignments which will count for 30% of the grade.
Computer Packages
Excel and Stata will be used for this class.
Date  Lecture 1  Lecture 2  Chapter in Text  Jan 28  Descriptive Statistics  Descriptive Statistics  2  Feb 4  Introduction to Probability  Introduction to Probability  3  Feb 11  Introduction to Probability  Discrete Probability Distributions  3.4  Feb 18  Discrete Probability Distributions  Continuous Probability Distributions  4.5  Feb 25  Continuous Probability Distributions  Estimation  6  March 4  Estimation  Estimation  6  March 11  MIDTERM EXAM  Estimation  6  March 18  No Class  No Class    March 25  Hypothesis Testing 1 sample inference  Hypothesis Testing 1 sample inference  7  April 1  Hypothesis Testing 2 sample inference  Hypothesis Testing 2 sample inference  8  April 8  Hypothesis Testing categorical data analyses  Hypothesis Testing categorical data analyses  10  April 15  Regression and correlationunivariate methods  Regression and correlationunivariate methods  11  April 22  Multiple Regression  Multiple Regression  11  April 29  One way ANOVA  One way ANOVA  12  May 6  Study Design  Measures of Effect for Categorical Data  13  May 13  FINAL EXAM  FINAL EXAM 
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