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 Biostatistics 140.624
 Statistical Methods in Public Health IV

  Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 
Fourth Term
March 28 - May 18, 2017

                                            JT SIS E-mails
Link of the Day Gallery             Contents and Notes



LECTURES:

10:30 am - 12 noon Tuesday, Thursday

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

(begin Tues, 04 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)

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BIOSTATISTICS/Stata CONSULTING LABS

        (begin Wed, 29 Mar)

     Tue - Fri         12:15 PM  - 1:15 PM     W2009 (Tue, Thur, Fri)
  W2207 (Wed)     
     Mon - Fri         2:30 PM  - 4:20 PM     W3025     

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ONLINE WEB LABS (Not Yet)

  • 20 minute appointments with lead TAs using Adobe Connect:
  • Directions for making appointment
  • Monday

6:00 pm -- 7:30 pm ET

  • Wednesday

7:00 pm -- 8:30 pm ET

  • Friday

6:30 pm -- 8:30 pm ET

  • Saturday

9:30 am -- 2:30 pm ET


INSTRUCTORS: 

James Tonascia, PhD

Mark Van Natta, MHS

Laura Wilson, ScM

Katherine Yates, ScM

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TEACHING ASSISTANTS:

Benjamin Ackerman
Alyce Burke
Matt Cole
Detian Deng
Junrui Di
Jacob Fiksel
Rob Henderson
Lamar Hunt
Shulin Jiang
Cynthia Kineza
Hojoon Lee
David Lenis
Lu Li

Mark Chiveral
Biostatistics Office: E3534

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Yijun Li
Wenyi Lin
Brandon Luber
Gina Narato
Tianchen Qian
Sarah Salter
Kayode Sosina
Jiangxia Wang
Zhou Xianchong
Goro Yamada
Haoyu Zhang
Yifan Xhou
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:

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Last updated Thursday, May 11, 2017

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              Johns Hopkins Bloomberg School of Public Health
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