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 Biostatistics 140.624
 Statistical Methods in Public Health IV

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

624 WEBCAST:
        https://global.gotomeeting.com/join/391316005

624 PROJECT:
      Final Project - (SUBMIT)

624 EXAM:
      Bio624 Exam - Due 5/7/19 at 8:00am (SUBMIT)

Fourth Term
March 26 - May 16, 2019

                                                                                  2018 Class Notes
       2019 Class SIS E-mails                              2018 Syllabus



LECTURES:

10:30 am - 12 noon Tuesday, Thursday

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

(begin Tues, 02 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)

 

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BIOSTATISTICS CONSULTING LABS

        (begins Wed, 27 Mar)

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

 

BIOSTATISTICS NOON CONSULTING LABS

        (begins Wed, 03 Apr)

     Tue - Wed         12:15 PM  - 1:15 PM     W4013     

 

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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:

Alyce Burke
Sophrena Bushey
Athena Chen
Weixang Fang
Linda Gai
Rob Henderson
Marta Karas
Xinye Li
Tiange Liu
Yuangen (Allen) Liu
George Mwinnyaa

Mark Chiveral
Biostatistics Office: E3534

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Adam Pittman
Kunda Prosenjit
Arkajyoti Saha
Emily Scott
Emily Sharkey
Chinenye Ugoji
Bingkai Wang
Guoqing Wang
Zeyi Wang
Yuchen Yang
Wanying Zhang

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 4 things:  e-Quizzes, draft abstract, project, exam
    • Exam is optional, but required for grade of A
  • Weights with and without exam

  • With Without  
    20% 33% e-Quizzes (5 of these)
    39% 65% Data analysis project
    1% 2% Preliminary abstract
    40% N/A Exam

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 link)

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COMPUTING PACKAGE:

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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:

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Last updated Wednesday, May 08, 2019

 ©2019, Department of Biostatistics,
              Johns Hopkins Bloomberg School of Public Health
              All Rights Reserved