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Graduate Course Proposal Form Submission Detail - PHC6081

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Current Status: Approved by SCNS - 2012-06-14
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: To GC Chair 5/4/12 for MPH Epi Conc. GC appd 5/15/12. to USf 5/15/12. to SCNS 5/23/12. Appd eff 8/1/12. Sub as 6720; appd as 6081


  1. Department and Contact Information

    Tracking Number Date & Time Submitted
    2863 2012-03-23
     
    Department College Budget Account Number
    Epidemiology and Biostatistics PH 640300-10000-PUB001-0000000
     
    Contact Person Phone Email
    Skai Schwartz 8139746679 sschwart@health.usf.edu

  2. Course Information

    Prefix Number Full Title
    PHC 6081 Intermediate SAS in Epidemiology

    Is the course title variable? N
    Is a permit required for registration? N
    Are the credit hours variable? N
    Is this course repeatable?
    If repeatable, how many times? 0

    Credit Hours Section Type Grading Option
    3 C - Class Lecture (Primarily) -
     
    Abbreviated Title (30 characters maximum)
    Intermediate SAS
     
    Course Online? Percentage Online
    C - Face-to-face (0% online) 100

    Prerequisites

    PHC 6000, PHC 6050, PHC 6701, and PHC 6051 or Consent of Instructor

    Corequisites

    Course Description

    This course is a fast-paced SAS language class for:

    (1) students majoring in epidemiology or biostatistics and (2) others intending to, as a substantial component of their careers, use SAS.


  3. Justification

    A. Please briefly explain why it is necessary and/or desirable to add this course.

    Replacing Selected Topics with Permanent number; already listed in program

    B. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service?

    Up to 15 students per semester from Engineering as well as COPH

    C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?

    Yes, 3 or more times

    D. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.)

    Fluency in SAS language

    In -depth knowledge of basic statistics through linear regression

    Knowledge of Epidemiologic measures


  4. Other Course Information

    A. Objectives

    This course will provide students intermediate level hands-on experience using the statistical software to analyze research data and get output of results. This will provide students exercises in analyzing data and preparing statistical results for print and presentation. Students will exercise skills using SAS software for data analysis, using random number generators and various statistical functions, using ICD and cpt codes, and summary of data as well as finalizing data output such as creating tables and other graphic output for manuscripts and presentations.

    B. Learning Outcomes

    This course is a fast-paced SAS language class for:

    (1) students majoring in epidemiology or biostatistics and (2) others intending to, as a substantial component of their careers, use SAS. The course is geared toward problem solving and writing programs to select and summarize Epidemiologic data into manuscript-ready tables. For example, given actual hospital and death records, the student by the end of the class should be able to produce a manuscript-ready table of demographic risk factors for fatal and non-fatal MI, without any retyping.

    Students learn when and how to use

    1. Do-loops

    2. Arrays

    3. Transposing

    4. Lag and Retain statements

    5. Procedure step output mechanisms

    6. Output delivery system(ODS) output mechanisms

    7. Formatting Output (brute force/Proc Tabulate/Proc Report)

    In addition, the following concepts are repeatedly covered

    8. Simulating statistical data using random number generators and statistical functions

    9. Using ICD (international classification of disease) and cpt (medical procedure) codes

    10. Column versus row percentages in correct summary of data

    C. Major Topics

    1. Do-loops

    2. Arrays

    3. Transposing

    4. Lag and Retain statements

    5. Procedure step output mechanisms

    6. Output delivery system(ODS) output mechanisms

    7. Formatting Output (brute force/Proc Tabulate/Proc Report)

    D. Textbooks

    E. Course Readings, Online Resources, and Other Purchases

    SAS documentation found in help window of SAS

    F. Student Expectations/Requirements and Grading Policy

    1. 5 Smaller Home-works at 5 point apiece 25%

    2. 5 Weekly quizzes at 5 points apiece 25%.

    3. Midterm 15%

    4. Large exercise 20%

    5. Final Exam 15%

    G. Assignments, Exams and Tests

    Week 1 Lecture: What is SAS? Do-loops Output statements

    Random Number Generators.

    Week 2 : The Array Statement Quiz 1, HW 1 due

    Week 3 : Stringing out data, Quiz 2, HW2 due

    Week 4 : Quiz 3, HW 3 due, The Lag statement

    Week 5 : Quiz 4, HW 4 due, Retain Statement

    Week 6 : Quiz 5, HW 5 due, Proc Transpose, Merge and update

    Week 7 : Proc Tabulate/Proc Report(Basic introduction only)

    Proc output statements, “Proc and print”

    Week 8 : Midterm due, Proc output statements, “Proc and print” continued, Using the ODS output delivery system for tabulation

    Week 9 : Large exercise handed out

    Using the ODS output delivery system for tabulation

    Week 10 : Spring Break/ Large Excercise work

    Week 11 : Large exercise due, Introduction to SAS macro language

    Week 12 : Introduction to SAS graph., ROC output option in Proc Logistic, Baseline output option in Proc PHREG

    Week 13 : Discussions, overviews, Final Handed Out

    Week 14 : work on final

    Week 15 : Work on final

    Final exam due

    H. Attendance Policy

    Course Attendance at First Class Meeting – Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation – Registration - 4.0101,

    http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)

    Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)

    In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.

    I. Policy on Make-up Work

    Attendance is mandatory, since the class is hands-on.

    Furthermore, there is often an in-class quiz. If you absolutely have to miss a class, SEE THE INSTRUCTOR; you may be required to complete and hand in in-class exercises on your own.

    J. Program This Course Supports

    MPH, MS Med. MS Eng. MS Nurs. PhD Public Health, MSPH


  5. Course Concurrence Information

    Government funded health research operations (eg. VA, cooperative studies, Westat)

    Pharmaceutical industry



- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.