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 Biostatistics 140.624
 Statistical Methods in Public Health IV

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

624 LECTURES:
      LINK TO WEBCASTS OF LECTURES/LABS

624 EXAM:
      LINK TO EXAM

624 PROJECT:
      LINK TO PROJECT

Fourth Term
March 27 - May 17, 2018

2018 Syllabus                                 2018 Class Notes
       2018 Class SIS E-mails                                                       



LECTURES:

10:30 am - 12 noon Tuesday, Thursday

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

(begin Tues, 03 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)

*Lab on Wednesday, 25 Apr will be in W1214 (Sheldon Hall)

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BIOSTATISTICS/Stata CONSULTING LABS

        (begin Wed, 28 Mar)

     Tue - Fri*         12:15 PM  - 1:15 PM     W4013     
     Mon - Fri         2:30 PM  - 4:20 PM     W3025     

*No 12:15-1:15 session on Friday, 06 Apr

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INSTRUCTORS: 

James Tonascia, PhD

Mark Van Natta, MHS

Laura Wilson, ScM

Katherine Yates, ScM

Goro Yamada, PhD

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TEACHING ASSISTANTS:

Sophie Berube
Yue Cao
Chih-Kai Chang
Weixang Fang
Gege Gui
Rob Henderson
Ji Soo Kim
Prosenjit Kundu
Lauren Lan
Su Jin Lim
Omar Mansour

Mark Chiveral
Biostatistics Office: E3534

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George Mwinnyaa
Shulin Qing
Sarah Salter
Abanti Sanyal
Jiangxia Wang
Siruo (Sara) Wang
Yunwen Xu
Yang Yuchen
Mingyu (Brian) Zhang
Fetyan Zhen
Yuxin (Daisy) Zhu

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

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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

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GRADING based on:

  • 20% e-Quizzes (5 on-line quizzes)
  • 50% Data Analysis Project: 
    • 1%   Draft Abstract (must be submitted on time)
    • 49% Project 
  • 30% Examination
    (Take home; required for grade of A, optional otherwise)

WEBCASTS and RECORDINGS:

  • Each class is webcast
  • Each JT LAB is webcast
  • Link to webcasts available on CLASSES tab
  • Link to recordings available on CLASSES or E-QUIZZES tabs

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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,
    2011
    , Duxbury Press, Pacific Grove, CA
     

  • Hamilton, L: Statistics with Stata, Updated for
    Version 12, 2013. (available at www.stata.com)
    • Datasets (sws10.zip)
       
  • 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)

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CALCULATOR:

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

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COMPUTING PACKAGE:

  • Stata 14, Stata Press, College Station, Texas (www.stata.com)

  • Notes on setting up Stata for Biostatistics 624

  • Stata for Macintosh

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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.

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OTHER LINKS:

Last updated Friday, July 20, 2018

 ©2018, Department of Biostatistics,
              Johns Hopkins Bloomberg School of Public Health
              All Rights Reserved