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 Biostatistics 140.621
 Statistical Methods in Public Health I

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

   

  First Term
  September 3 - October 24, 2013



LECTURERS

  • Marie Diener-West, PhD (Section 01)
    Department of Biostatistics, Hygiene E3622
    Johns Hopkins University
    Bloomberg School of Public Health 
    phone:   410-502-6894
    fax:        410-955-0958
    Office Hours: TBA and by appointment
     

  • Karen Bandeen-Roche, PhD  (Section 02)
    Department of Biostatistics, Hygiene E3527
    Johns Hopkins University
    Bloomberg School of Public Health
    phone: 410-955-3067
    fax:      410-955-0958
    Office Hours:  TBA and by appointment

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LECTURES:

10:30 am - 12 pm Tuesday, Thursday
 
  • Section 01:

 Sommer Hall  (Room E2014)                              
  • Section 02:    
 Sheldon Hall (Room W1214)

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

Labs will start on Sep 5.
 

Lab 1:

Monday

1:30 PM - 3:00 PM 

Hygiene W3008

Lab 2:

Tuesday

1:30 PM - 3:00 PM 

Hygiene W3008

Lab 3:

Wednesday 

1:30 PM - 3:00 PM 

Hygiene W3008

Lab 4:

Thursday

1:30 PM - 3:00 PM 

Hygiene W3008

Lab 5: 

Friday

1:30 PM - 3:00 PM 

Hygiene W3008

Lab 6:

Monday

3:30 PM - 5:00 PM 

Hygiene W3008

Lab 7:

Tuesday

3:30 PM - 5:00 PM 

Hygiene W3008

Lab 8:

Wednesday 

3:30 PM - 5:00 PM 

Hygiene W3008

Lab 9:

Thursday

3:30 PM - 5:00 PM 

Hygiene W3008

Note: 3:00-3:30 is open time for questions


COMPUTER LAB for STATA help:
(starting Sep 5, optional)

Monday - Friday

2:30 - 3:20 PM

Hygiene W3025


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LAB INSTRUCTORS

 

 

 

TEACHING ASSISTANTS  (Pictures)
 
  • Jonathan Aboagye
  • Leonardo Collado Torres
  • Jean-Philippe Fortin
  • Jeongyong Kim
  • Yao Lu
  • Nicole Lunardi
  • Amanda Mejia
  • Htet Oo
  • Thomas Prior
  • Therri Usher
  • Brian Wahl
  • Yenny Webb Vargas
  • Yuting Xu
  • Xiaoge (Julia) Zhang

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OFFICE HOURS for Teaching Assistants
(starting Thursday, Sep 5, optional)

 

Monday - Friday

12:15 PM  - 1:15 PM

Hygiene W2009

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LECTURE NOTES:

  • Copies of the course materials are distributed during class. Purchase of these materials is included in registration. Copies of most materials are available for downloading in the "Classes" section of the course web site. Version 9.0 or higher of Acrobat Reader is needed for opening the course materials on the website.

Download Acrobat Reader

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WEB SITE

  • Contains course schedule, office hours, lecture notes, self-evaluation problem sets, Stata lecture notes, and problem set solutions and quiz and exam solutions.

     Userid:  bio621 

     Password:  (given in class)

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AUDIO:

  • An audio lecture is available and posted after each lecture on the course website in the "Classes" section.

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TEXTBOOK:

  • Recommended book for which we will provide reading assignments:

    • Bernard Rosner, Fundamentals of Biostatistics, 2011, Duxbury  Press, Belmont, CA.
       

  • Suggested book:

    • Lawrence C. Hamilton. Statistics with Stata 12, 2012, Duxbury Press, Belmont, CA.

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CALCULATOR

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

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COMPUTING PACKAGE:

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Course Policies

  • 5% Problem set 1 ( points deducted if turned in late)

  • 5% Problem set 2 ( points deducted if turned in late)

  • 5% Problem set 3 ( points deducted if turned in late)

  • 5% Problem set 4 ( points deducted if turned in late)   

Students may work together, but must hand in their own version of the problems set -- DO NOT SUBMIT AN EXACT COPY of another student's work.

  • 5% Quiz 1 (in class)

  • 5% Quiz 2 (in class)

  • 35% Midterm examination (in class)

  • 35% Final examination (in class)

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COURSE OBJECTIVES:

  • Use statistical reasoning to formulate public health questions in quantitative terms

  • Design and interpret graphical and tabular displays of statistical information

  • Use probability models to describe the trends and random variation in public health data

  • Use statistical methods for inference, including tests and confidence intervals, to draw public health inferences from data

The course is designed to enable students to develop their data analysis skills.  Common important datasets will be analyzed by students using the statistical package Stata throughout the 621-624 course sequence.


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OTHER LINKS:

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  Last edited: 28 October, 2013

 
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              Johns Hopkins Bloomberg School of Public Health
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