PHPM672 Data Science for Health Services Research (Spring 2016)
PHPM677 Data Science in Public Health (Spring 2016)

Annoucements (1/19)

  • Please check the syllabus.
  • Some links do not work at this time. Links will be updated as we go.
  • We will update the optional lab time after first day of class.
  • How to post your reading log on blackboard
    1. Click on the appropriate forum (P1 for this week)
    2. "Create Thread" and type in your feedback
    3. Don't forget to save by clicking on "Submit"

Schedule (Tentative)

Week Date Lecture Labs Assignments DUE Readings (For class)
1 01/19 Intro to data science I Intro to programming A1 None None
2 01/26 Variables & Expressions
(string.sas)
Vars A2 & Lab2 A1 CH 1;
Kum et. al 2014
3 02/02 Conditionals Coding Midpoint Check Ch 3; Ch 4.1-4.11;Optional 1
4 02/9 Arrays & Loops A3 & Lab3 A2 & Lab2
5 02/16 continue Arrays & Loops Midpoint Check Ch 3.11; Ch 3.12; Optional 2
6 02/23 Reshaping & Combining Tables demo.sas log html A4 & Lab4 A3 & Lab3
7 03/01 continue Reshaping & Combining Tables Debugging & Testing Midpoint Check & Lab4 Ch 1 & 6; Optional 3
8 03/8 Record Linkage Review (Do the practices Quizzes and come with questions) Midterm (Take Home) A4 AHRQ Report (scan all, read Ch 4)
03/15 Spring Break
9 03/22 Midterm (In Class) A5 Midterm (Take Home)
10 03/29 Macros A6 & Lab6 A5 Ch 7 & Optional 4
11 04/05 Midterm Review Lab6 & Midpoint Check
12 04/12 ODS/Excel Final Project A6
13 04/19 DS II (vs traditional stat) Guest Lecture (TX-HHSC) FP MileStone 1
14 04/26 Macros & Privacy FP MileStone 2
15 05/03 Group Presentations Final Project

Reading Assignment

Remember to post your reading log on blackboard before each class.
3 interesting points (facts you learned) & 1 opinion.

[I] Internet: search online, find, and read
[L] Link: click on the link
[A] Article: get from the library, usually available on ejournal format


  • [A]Kum, H.C., Krishnamurthy A., Machanavajjhala A., and Ahalt S. Social Genome: Putting Big Data to Work for Population Informatics. IEEE Computer Special Outlook Issue. Jan 2014

Supplemental Material

Optional 1: Variables, Expressions, & Conditionals (Lec 2-3)
  • http://www.ats.ucla.edu/stat/sas/modules/vars.htm
  • http://www.ats.ucla.edu/stat/sas/modules/funct.htm
  • http://www.ats.ucla.edu/stat/sas/modules/subset.htm
  • http://www.ats.ucla.edu/stat/sas/modules/labels.htm
Optional 2: Arrays & Loops (Lec 4-5)
  • http://www.ats.ucla.edu/stat/sas/modules/acrossvars.htm
Optional 3: Combining Tables (Lec 6-7)
  • http://www.ats.ucla.edu/stat/sas/modules/merge.htm
  • http://www.ats.ucla.edu/stat/sas/modules/concat.htm
  • http://www.ats.ucla.edu/stat/sas/modules/wtol_transpose.htm
  • http://www.ats.ucla.edu/stat/sas/modules/widetolong_data.htm
  • http://www.ats.ucla.edu/stat/sas/modules/ltow_transpose.htm
  • http://www.ats.ucla.edu/stat/sas/modules/longtowide_data.htm
Optional 4: Macros (Lec 10 & 11)
  • http://www.ats.ucla.edu/stat/sas/seminars/sas_macros_introduction