Statistics E102




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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: 617-525-2743


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, 6th edition, 2006. (Available at the Coop). (Includes CD-Rom 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. 8th edition, Iowa University Press, 1989.

Hogg, R. and Craig, A.T. Introduction to Mathematical Statistics, 5th edition, Prentice-Hall, 1995.


Berk, K.N. and Carey P. Data Analysis with Microsoft Excel, Duxbury Press, 1998.


Requirements


  • There will be an in-class Midterm Exam (open book) which will count for 30% of the grade.




  • There will be an in-class 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 correlation-univariate methods

Regression and correlation-univariate 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





Page of


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