Home  |   Schedule    |   Classes   |   Problem Sets   |   e-Quizzes   |   Contact Us               

 Biostatistics 140.624
 Statistical Methods in Public Health IV

 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 
Course project preparation and submission
  • Not May Grads Deadline:
    11:59p, Friday, 18 May 2012 (revised)
     
  • May Grads Deadline:
    11:59p, Tuesday, 15 May 2012    

Exam Results

Note: due to a grading error on question 41, 2 points are being added to all scores.
 

Live Class Webcast - 5/17/12
 
  Class Recordings and Annotated Notes
 
Course Contents
 
Link of the Day
LoD Gallery
Course e-mail
e-quizzes
Winners

Fourth Term
March 27 - May 17, 2012

 



LECTURES:

10:30 am - 12 noon Tuesday, Thursday

  • Sommer Hall  (Room E2014)
     
  • Overflow room:  W3030
     
  • Real-time link for next 10:30 lecture

goto top 


JT LABS for review, questions, and help with e-Quizzes:

(begin Tues, 3 April; attend 1 session per week; lab registration not needed)

Lab 1: Tuesday  3:30 PM - 5:20 PM E2014 (Sommer Hall)
Lab 2: Wednesday    3:30 PM - 5:20 PM   E2014 (Sommer Hall)
Lab 3:   Thursday 1:30 PM - 3:20 PM  E2014 (Sommer Hall)

goto top 


COMPUTER LABS for Biostatistical/Stata help
  (begin Wed, 28 Mar)

     Mon - Fri         2:30 PM  - 4:20 PM     W3025     

goto top


INSTRUCTORS: 

James Tonascia, PhD

Mark Van Natta, MHS

goto top


TEACHING ASSISTANTS:

  • Kevin Fain
  • Fang Han
  • Katherine Lin
  • Yi Lu
  • Paige Maas
  • Tom Prior
  • Ah Young Shin
  • Yifei Sun
  • Elizabeth Sweeney   
  • Sherlly Xie
  • Jing-yan Yang
  • Juemin Yang
  • Alka Ahuja
  • Alyce Burke
  • Erin Corless
  • Allahna Esber
  • Pat May 

  • Diana Paksarian

  • Efe Sezgin

  • Ivana Vaughn  
  • Christine Wei
  • Laura Wilson

  • Kathie Yates

  • Mark Chiveral
    Biostatistics Office: E3534

goto top


LECTURE NOTES:

Copies of lecture materials are distributed during class. Copies of most materials are available for downloading in the "Classes" section of the course web site.

Adobe Acrobat Reader is needed to view materials posted on the website. 

Download Acrobat Reader

goto top 


WEBSITE:

http://biostat.jhsph.edu/courses/bio624

Userid:  (given in class)

Password:  (given in class)

Contains course schedule, office hours, lecture notes, quizzes, solution keys, data sets, and Stata examples

goto top 


GRADING based on:

  • 20% e-Quizzes (5 on-line quizzes)
  • 50% Data Analysis Project: 
    • 1%   Draft Abstract (must be submitted on time)
    • 49% Project 

  Submit Abstract

  • 30% Examination
    (in class; required for grade of A, optional otherwise)

goto top 


AUDIO and ADOBE CONNECT:

Both audio mp3 files and Adobe Connect slides + audio of each lecture and the Wednesday LAB review are available under the "Classes" section of the website.  Links to real-time Adobe Connect for "offsite attendance" at lectures are on the home page prior to each lecture. 

goto top


TEXTBOOK:

Dupont, W. D. :  Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data, 2009,  Cambridge University Press, Cambridge, U.K.

Also recommended (optional):

  • Bernard Rosner: Fundamentals of Biostatistics, 7th Edition, 2010, Duxbury Press, Pacific Grove, CA
     

  • Hamilton, L: Statistics with Stata, Updated for Version 10, 2009. (available at www.stata.com)
     
  • Stata User's Guide and Reference Manuals
     
  • Rabe-Hesketh S and Everitt B:  A Handbook of Statistical Analyses Using Stata, Fourth Edition, 2007. (available at www.stata.com)

goto top


CALCULATOR:

Basic functions (+, -, x, ÷), logarithms and exponents, simple memory and recall, factorial key.  May be used during exam.

goto top


COMPUTING PACKAGE:

goto top


REGISTER FOR COURSE e-MAIL:

To receive course announcements and to receive credit for e-Quizzes, all students must register an e-Mail address

Register for course e-mail 

goto top


COURSE OBJECTIVE:

To expand students' abilities to conduct and report the results of valid statistical analysis of quantitative public health information.  To develop more advanced skills in multiple regression models, focusing on linear, logistic, and log-linear models and on techniques for evaluation of survival and longitudinal data.

goto top 


OTHER LINKS:

goto top 


  Home    |    Schedule    |   Classes    |    Problem Sets   |   e-Quizzes    |    Contact Us    |   TA


  Last updated Wednesday, May 16, 2012

Stats

 
  ©2012, Department of Biostatistics,
              Johns Hopkins Bloomberg School of Public Health
              All Rights Reserved