PHPM672/677

PHPM672 Data Science for Health Services Research (Spring 2020)
PHPM677 Data Science in Public Health (Spring 2020)

Annoucements

Schedule (Tentative)

Week Dates Lecture Labs Assignments DUE Readings (For class)
1.1 01/14 Intro to data science I Intro to programming A1 None None
1.2 01/16 Variables & Expressions Vars A2 & Lab2 A1 CH 1; CH 3
2 01/21 & 01/23 Variables & Expressions II
(string.sas) 		Coding Midpoint email (THUR) Ch 3; Ch 4.1-4.11;Optional 1
3 01/28 & 01/30 Conditionals Coding A2/L2 (THUR) Ch 3; Ch 4.1-4.11;Optional 1
4 02/04 & 02/06 Arrays & Loops A3 & Lab3 A2 & Lab2 Ch 3.11; Ch 3.12; Optional 2
5 02/11 & 02/13 continue Arrays & Loops review Arrays & Loops Midpoint Check
6 02/18 & 02/20 Reshaping & Combining Tables demo2.sas log html A4 & Lab4 A3 & Lab3 Ch 1 & 6; Optional 3
7 02/25 & 02/27 continue Reshaping & Combining Tables Debugging & Testing Midpoint Check & Lab4
8 03/03 & 03/05 Record Linkage A5 (Study for Midterm) A4 AHRQ Report (scan all, read Ch 4); RL paper;Optional 5
03/10 & 03/12 Spring Break
9 03/17 & 03/19 Class has been suspended due to the virus situation. Practice Quizzes
10.1 03/24 Midterm Review Do the practice Quizzes and come with questions Midterm (Take Home) A5
10.2 03/26 Midterm (In Class)
11 03/31 & 04/02 Macros More Macros (4/2) A6 & Lab6 Midterm (Take Home) Ch 7 & Optional 4
12 04/07 & 04/09 continue Macros DS vs traditional stats Final Project Lab6 & Midpoint Check
13 04/14 & 04/16 Population Informatics & Understanding Data in Papers A6, FP MileStone 1 Review Kum et. al 2014 & Read McGrail et. al 2018
14 04/21 & 04/23 Privacy FP MileStone 2
15 04/30
(3-5pm)		 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


Supplemental Material

A good resource for learning SAS data management https://stats.idre.ucla.edu/sas/modules/ .

Optional 1: Variables, Expressions, & Conditionals (Lec 2-3)
  • https://stats.idre.ucla.edu/sas/modules/creating-and-recoding-variables-in-sas/
  • https://stats.idre.ucla.edu/sas/modules/using-sas-functions-for-making-and-recoding-variables/
  • https://stats.idre.ucla.edu/sas/modules/ubsetting-data-in-sas/
  • https://stats.idre.ucla.edu/sas/modules/labeling/
Optional 2: Arrays & Loops (Lec 4-5)
  • https://stats.idre.ucla.edu/sas/modules/working-across-variables/
Optional 3: Combining Tables (Lec 6-7)
  • https://stats.idre.ucla.edu/sas/modules/match-merging-data-files-in-sas/
  • https://stats.idre.ucla.edu/sas/modules/concatenating-data-files-in-sas/
  • https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-wide-to-long-using-proc-transpose/
  • https://stats.idre.ucla.edu/sas/modules/reshaping-data-wide-to-long-using-a-data-step/
  • https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-long-to-wide-using-proc-transpose/
  • https://stats.idre.ucla.edu/sas/modules/reshaping-data-long-to-wide-using-the-data-step/
Optional 4: Macros (Lec 10 & 11)
  • https://stats.idre.ucla.edu/sas/seminars/sas-macros-introduction/
Optional 5: Record Linkage
  • Goth G. Running on EMPI. Health information exchanges and the ONC keep trying to find the secret sauce of patient matching. Health data management. 2014;22(2):52-, 4, 6 passim
  • More references: https://pinformatics.org/research/record-linkage-references.php