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Original Study e-Poster(CLO# 5-8: MPH HP PLO# 5,6; CEPH HP #7)Original Study e-Poster Template- PowerPoint File(165.4 KB)Faculty Alumna Poster Sample- PDF Document(263.4 KB)Revise content from your...

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Original Study e-Poster(CLO# 5-8: MPH HP PLO# 5,6; CEPH HP #7)

  • Original Study e-Poster Template- PowerPoint File(165.4 KB)
  • Faculty Alumna Poster Sample- PDF Document(263.4 KB)

Revise content from your "Original Study e-Poster Content" draft and put it in the attached e-Poster template. Students must earn at least 70% to pass this assignment.

NOTE: Any student earning below 70% will receive a score of zero for the assignment.

After the class posters can be revised and submitted for possible presentation at aprofessional conference such asWestern Users of SAS Software(WUSS), typically held in September.

Note: This assignment will be used to assess the CEPH HP Specialization Competency below:
7.Apply appropriate research principles and techniques to develop health promotion programs.

CEPH: Council on Education for Public Health
HP: Heath Promotion

original-study-e-poster-template1-vogjogh0.pptx class-7-student-poster-example-1-fh44sxq0.pdf coh613-sas-code-log-results-djc0ehnp.docx original-study-eposter-content-draft2-bzbrdx4o.docx objectives-3kfuwngo.docx
Answered 2 days After Oct 20, 2022

Solution

Mohd answered on Oct 22 2022
50 Votes
Abstract:
We want to estimate the impact of age groups, education levels, and smoking behavior on the response variable CHCOCNCR (ever told you had any other type of cancer). We have used logistic regression to estimate the probability of CHCOCNCR instances.
The age category | 2 is more contributing towards the CHCOCNCR instances than other categories. The education category | 4 is more contributing toward CHCOCNCR status than all other categories. 57.2 percent of total model outcomes are true. on the contrary 30.3 percent model outcome are false.
Background
Research suggests there a relationship between cigarette smoking and cancer after adjusting for age and education in the Behavioral Risk Factor Surveillance System (BFRSS). Center for Disease Control and Prevention, 2018 study respondents. The data were analyzed have 188668 rows and four variables. The response variable is CHCOCNCR (ever told you had any other type of cancer). The explanatory variables are Age_G(Age groups), EDUCAG(education group), and SMOKER3.
Objective:
To investigate the relationship between cigarette smoking and cancer after adjusting for age and education in the Behavioral Risk Factor Surveillance System (BFRSS).
Methods:
Study Design & Data Source Study Variables • Data comes from the Behavioral Risk Factor Surveillance System (BRFSS) 2016 survey questionnaire. • Inclusion Criteria = Age_g Adults with age 18-35 are coded as 1 and adults with age 36-above are coded as 2. Controlling Variables = Race, Gender, Education
• The response variable is CHCOCNCR (ever told you had any other type of cancer). The explanatory variables are Age_G (Age groups), EDUCAG(education group), and SMOKER3.
• Measurements of...
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