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 Biostatistics 140.652
 Methods in Biostatistics II

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

    

 

Second Term
October 28 - December 21, 2004



LECTURER

Ron Brookmeyer, PhD
Department of Biostatistics, Hygiene E3142
Johns Hopkins University
School of Hygiene and Public Health 
phone:   410-955-3519
fax:        410-955-0958
Office Hours: Thurs 12:30-1:30 (W1015)

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LECTURES:

10:30 AM - 12:00 PM Tuesday, Thursday
Room W2008

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LABS for review, questions, and help with the problem sets:

Lab 1:

Tuesday

1:00 PM - 2:30 PM

Room W3204

Lab 2: Wednesday 3:00 PM - 3:50 PM Room W3204

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LAB INSTRUCTORS:

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TEACHING ASSISTANTS:

  • Elizabeth Johnson
    Department of Biostatistics, Hygiene E3146
    Office hours:  Mon, 4:00-5:00 PM

  • Weiwei Wang
    Department of Biostatistics, Hygiene E3132
    Office hours:  Tues, 12:30 - 1:30 PM

  • Yijie Zhou
    Department of Biostatistics, Hygiene E3005
    Office hours:  Wed, 2:00 - 3:00 PM

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WEB SITE:

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TEXTBOOK:

  • Fundamentals of Biostatistics, 5th edition by Bernard Rosner, Duxbury Press, 2000

ADDITIONAL REFERENCES:

  • Mathematical Statistics and Data Analysis, 2nd edition by John A. Rice, Duxbury Press, 1995

All books will be on reserve in the Lilienfeld Satellite Library
          (Hygiene 2030)

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GRADING:

  • 50% Problem Sets (4) - must be handed in on time
  • 50% Final exam in class on last day (21 Dec 2004 @10:30AM)

CALCULATOR:

  • Basic functions (+, -, x, ÷), logarithms and exponents, simple memory and recall, factorial key.

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REGISTER FOR COURSE e-MAIL:

  • To receive course announcements, all students must
    register an e-Mail address

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COURSE OBJECTIVE:

This course is an introductory sequence in statistical methods with applications to public health, clinical and biological research.  It is intended as an introductory methods course for biostatistics graduate students and quantitatively oriented students.  The focus is on presentation, analysis and interpretation of data.

 

PREREQUISITE

It is assumed students have had calculus and familiarity with matrix and linear algebra.  The course does no assume any prior knowledge of statistics or probability.  It is a continuation of Biostatistics 651.

 

This course presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

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RULES:

  • Each problem set needs to be handed in on or before 5PM on the due date.  It may be handed in after lecture to Dr. Brookmeyer or placed in the Biostatistics 652 in-box in the Biostatistics office (Room E3527).  Problem sets should present neat and short solutions.  For problems requiring data analyses, students should not submit reams of computer output, but only the key graphs and statistics they believe are important.  Emphasis should be on interpretation of the results.

  • Students may cooperate together on problems, discuss possible solutions and issues.  However, each student is still responsible for submitting a problem set that he or she independently wrote up and performed the necessary calculations.  Students may ask the teaching assistants questions about homework.  However, students should NOT consult solutions or exams from students who took the course in previous years.

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OTHER LINKS:

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            Johns Hopkins Bloomberg School of Public Health
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