Statistics for Health Services Management

   
 
 

CLASS SCHEDULE

June 3rd face-to-face session
Introduction to the Course

June 3rd face-to-face session
Topic 1:  Introduction to Data►  

June 10th face to face session
Topic 2:  Probability►  

June 17th face to face session
Topic 3:  Distributions►

June 24th face to face session
Topic 4:  Foundations for Inference►

July 1st Online  Midterm Exam Summer 2013►

July 8th Online
Topic 5: Compare Population Means► 

July 15th Online
Topic 6: Compare Rates►

July 22nd Online
Topic 7: Matched Case Control► 

July 22nd Online
Topic 7: Linear Regression & Correlation► 

July 29th Online Final Exam

INSTRUCTORS

Farrokh Alemi, Ph.D. By appointment at 703 893 3799.  Email► Publications► Linked in►

COURSE DESCRIPTION

This is an introductory course that focuses on descriptive and inferential statistics with applications of various statistical techniques to health services management. Topics include sampling, measures of central tendency and dispersion, probability distributions, hypothesis testing, analysis of variance, correlation, linear regression, and forecasting

TEXTBOOKS

  1. OpenIntro Statistics 2nd Edition 2012 textbook.  Download►
  2. No required software.  You are free to use any software.  Class material will be presented using Excel and occasionally R.

COURSE OBJECTIVES

This course introduces the principles and methods of descriptive statistics, statistical data analysis and inference. In particular, this course focuses on the study of summarizing data, assumptions and purposes of various data analytic techniques. Computer outputs will be used throughout this course as they provide an important source of learning, demonstrating the application of a certain technique in a given situation. Thus, this course requires the use of a statistical package such as SPSS, MINITAB or Excel.   

  1. Demonstrate mastery of the essential concepts and tools of descriptive statistics, probability models, and statistical inference, emphasizing health services management applications.   /li>
  2. Apply what has been learned to the solution of practical problems through the development, evaluation, and selection of various statistical techniques with emphasis on health care issues.  
  3. Interpret statistical significance, and understand and interpret statistical methodology in the scientific literature.  
  4. Foster the communication and presentation of statistical analysis in health care management.  
  5. Use statistical software such as MINITAB or Excel in conducting data analysis.  
  6. Cultivate critical/analytical thinking.

COURSE PEDAGOGY

This is a hybrid course that consists of face-to-face and online lectures, homework assignments, peer-to-peer assignments, and exams.

  1. Learn one:  Read all assigned materials.  Look at videos demonstrating the work.  Listen to audio lectures.  Comment on how the lecture could be improved.  Each lecture is broken into several sub-topics.  Each lecture includes a laboratory session, where you are asked to do what the instructor has presented.
  2.  Do one:  Complete in class and homework assignments.  Homework assignments are graded as pass/fail.  Correct answers are provided and assignments turned in must show how the calculations were made.  Only assignments with correct answers are accepted. 
  3. Teach one:  One week before the lecture assigned to you, complete all assignments within the lecture and get approval to proceed from the instructor.  Teach the material in two of the lectures to other students in the course by (a) preparing a narrated slides on a sub-topic within the lecture, (b) help other students complete their homework assignments by answering their questions and showing them how you did the assignment, and (c) verify that all assignments handed in are correct.

Attendance in online and face to face sessions is optional but highly recommended.  Students who miss class are more likely to fail the course.  Students must activate and use an e-mail account that (a) does not change during taking the course and (b) is checked on a daily basis. Students are expected to maintain near daily email contact with the instructor.  Late homework assignments are not accepted. If an emergency occurs, please notify the instructor in advance.

RECORD YOUR TUTORIALS

The easiest way to help your fellow students is to prepare a visual instruction for them about a small part of the lecture, usually one problem.  Following tools are needed for doing so:

  1. A microphone is necessary to narrate your slides.  Please do not rely on built in microphones for portable computers.
  2. You can capture screen shots and insert it into your slide presentation using Command and Print Screen keys.  MAC Users►
  3. Narrate your slides.  Narrate►
  4. Upload your narrated slides to Author Stream.  Upload►
    • Share your narrated slides publicly so all students in the class can view it. 
    • Put within the description the following statement:  "This presentation was prepared as part of the course HAP 602  taught by Farrokh Alemi, Ph.D. at George Mason University and available at http://openonlinecourses.com/statistics." 
    • If you wish to be exempted from sharing your work publicly, make a request to the instructor with your justification and alternative plans.
  5. Email your URL to the students in the course. 

Alternatively you can follow these steps if you want to video tape your work on Excel:

  1. Download software to video tape what you are doing on desktop.  Free Camstudio►   Camtasia►  SWF►
  2. MAC users are encouraged to use IMovie.  You Tube►

OPEN ONLINE COURSE

This course is available online without password restrictions.  If you are taking this course without registration through the University, complete the assignments and exams and receive a letter of completion from the instructor.  Write to the instructor at start of the course.  If you are a registered student, you will receive a grade and University credit for the course.  Video►

EVALUATION

Your grade will depend on the following:

  1. Completion of in-class and homework assignments before next session of the class.  5% of the course grade depends on correct completion of the assignments, 5% on timely completion of the assignments, and 5% on visually appealing (graphs and charts) presentation of the assignment data. 
  2. Completion of peer-to-peer instruction.  20% of the course grade depends on completion of peer-to-peer teaching assignments.
  3. Completion of midterm exam.  25% of the course grade depends on midterm exam.  It is proctored, timed, open book, with Internet access, and comprehensive coverage of material taught up to date of exam.
  4. Completion of final exam.  40% of grade depends on the final exam.  It is proctored, timed, open book, with Internet access, and comprehensive of all material taught in the course.   

Grades are not curved. Curving a grade refers to grading students as the percent of the best student, which increases incentives among students not to help each other.  A percent grade is transferred to a letter grade using the following scale:

A+ = 97-100,  A = 93-96,  A- = 90-92
B+ = 87-89,  B = 83-86,  B- = 80-82
C+ = 77-79,  C = 73-76,  C- = 70-72
D = 60-69
F = 0-59

Students who get a grade lower than B- in the midterm exam are urged to drop the course as subsequent exams are more comprehensive and more difficult.  They can remain in class, complete the work, and get ready for re-taking the course later.  Students who are weak in quantitative skills are encouraged to audit the course before formally taking the course for credit.  Students who have audited the course can take the course as an independent study anytime they wish.

COLLABORATE

Students are expected to help each other in the course, specially in doing homework assignments.  Students should study together, if they can.  Grades are not curved.  Students are not in competition with each other. If two students work on the same assignment, each must do the work separately and hand it in separately. No group projects.  You should not send in the same work under two names. The work must have initiated from the student's computer and not anyone else's computer signature.  Do not copy and paste work from each other.  You are welcomed to talk to each other, help each other but not to do the work for each other. 

During exams you are not allowed to seek help from each other or from anyone else. 

Student members of the George Mason University community pledge not to cheat, plagiarize, steal, or lie in matters related to academic work”. (From the 2012-13 Catalog).

OTHER RESOURCES

Your instructor would like to hear from you.  He is available to discuss course material and provide career advice by appointment.  Discuss work related problems with your instructor.  Bring problems you face with data to class and present it to the class for discussion and advice. After completion of the course, continue to maintain contact.  The following additional resources are also available.   

  1. Office of Disability Services More►
  2. Writing Center  More►
  3. University Libraries More►
  4. Counseling and Psychological Services More►