Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming and software, as appropriate
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Heart_Analyses_Worksheet_3-1.docxCOH 602 Biostatistics
Week Four SAS Assignment - Heart Analyses Worksheet #3
Original Analyses: Summary Statistics, Distribution Analysis, One Sample t-Test Analysis, Distribution Analysis, One Sample t-Test & Logistic Regression
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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. |
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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" |
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Student Name:
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Student Name: |
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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. |
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Summary Statistics Original |
1. Code (copy & paste from SAS) |
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2. Log (copy & paste from SAS) |
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3. Results (copy & paste from SAS) |
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4. Results Interpretation (write one sentence) |
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Distribution Analysis Original |
5. SAS Code (copy & paste from SAS) |
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6. SAS Log (copy & paste from SAS) |
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7. SAS Results (copy & paste from SAS) |
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8. Results Interpretation (write one sentence) |
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One Sample t-Test Original |
9. Code (copy & paste from SAS) |
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10. Log (copy & paste from SAS) |
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11. Results (copy & paste from SAS) |
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12. Results Interpretation (write one sentence) |
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Logistic Regression Original |
13. Code (copy & paste from SAS) |
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14. Log (copy & paste from SAS) |
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15. Results (copy & paste from SAS) |
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16. Results Interpretation (write one sentence) |
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