Analyze Quantitative And Qualitative Data Using Biostatistics, Informatics, Computer-Based Programming And Software, As Appropriate

CEPH Foundational Competencies: #3. Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming and software, as appropriate #4. Interpret results of data analysis for public health research, policy or practice.
Assignment Overview: Analyze the Framingham Heart Study dataset called WORK.HEARTDATASET that was created in SAS Studio for Worksheet #2. Students will perform original analyses of two preapproved variables. Analyses include summary statistics, distribution, one sample t-test and a logistic regression. ^{ Instructor Approval of Variables is Required to Ensure Students Have Unique Analyses.} Step 1) Produce Summary Statistics for Two Preapproved Variables* in the WORK.HEARTDATASET** – HEART CSV Codebook – Discussion Board: Original Analyses – Variable Selection – Week 1 Resources: Chapter 4 & SAS Summary Statistics (i.e., video, PPT, code) Step 2) Produce a Distribution Analysis for Two Preapproved Variables* – HEART CSV Codebook – Discussion Board: Original Analyses – Variable Selection – Week 1 Resources: Chapter 4 & SAS Distribution Analysis (i.e., video, PPT, code) Step 3) Produce a One Sample t-Test Analysis for One Preapproved Variable* – Week 2 Resources: Chapter 7 & SAS One Sample t-Test Analysis (i.e., video, PPT, code) Step 4) Produce a Logistic Regression Analysis for Two Preapproved Variables* – HEART CSV Codebook – Discussion Board: Original Analyses – Variable Selection – Week 3 Resources: Reading and Generating CSV Files Using SAS Studio (i.e., video, PPT, code). Step 5) Complete & Submit “Heart Analyses Worksheet #3”
Student Name:		Student Name:
Note: Students can work in pairs to complete the assignment; however, each student must complete original analyses with instructor approval of variables and submit a completed worksheet.
Summary Statistics Original	1. Code ^{(copy & paste from SAS)}
	2. Log ^{(copy & paste from SAS)}
	3. Results ^{(copy & paste from SAS)}
	4. Results Interpretation ^{(write one sentence)}
Distribution Analysis Original	5. SAS Code ^{(copy & paste from SAS)}
	6. SAS Log ^{(copy & paste from SAS)}
	7. SAS Results ^{(copy & paste from SAS)}
	8. Results Interpretation ^{(write one sentence)}
One Sample t-Test Original	9. Code ^{(copy & paste from SAS)}
	10. Log ^{(copy & paste from SAS)}
	11. Results ^{(copy & paste from SAS)}
	12. Results Interpretation ^{(write one sentence)}
Logistic Regression Original	13. Code ^{(copy & paste from SAS)}
	14. Log ^{(copy & paste from SAS)}
	15. Results ^{(copy & paste from SAS)}
	16. Results Interpretation ^{(write one sentence)}