Introduction

This short course introduces the art and science of collecting, analysing, and interpreting data from medical and biological studies. Anyone who strives to improve human health based on empirical evidence must understand how to draw conclusions about populations based on data obtained from samples.

The module presents statistical concepts without invoking mathematical complexity. Instead, the emphasis is on intuitive, easy-to-grasp, explanations and lots of examples drawn from the medical literature. Open-source statistical software is used for analysing data sets. Examples focus on issues that confront many low and middle-income countries. Basic maths and curiosity about the scientific method are the only prerequisites.

Upon completion of the short course, you should be able to read the results sections of medical journals more confidently and perform and interpret the results from frequently used statistical procedures.

Who Should Enrol

  • Any healthcare professional interested in public health.
  • Public health decision makers.
  • Public health aspiring researchers.
  • Public health managers with a post graduate degree qualification.
  • Any honours degree graduate interested in public health learning.

Learning Outcomes

After completion of this course, you should be able to:

  • Identify the importance of visual displays in conveying information.
  • Identify appropriate displays and summary statistics.
  • Discuss the properties of random samples selected from a population.
  • Explain the basic steps of using statistical methods to test a hypothesis.
  • Describe the statistical meaning of independence of the rows and columns of a table.
  • Discuss the importance of quantifying the strength of the linear relationship between two variables.

Course Design

This is an eLearning course and materials are presented in the form of video tuition and reading materials. Participants have access to all available resources for a 3-month period from the date of enrolment.

Course Content

The following modules are included in this short course:

  1. Describing and Summarizing Data.
  2. Evaluating Results from Samples.
  3. Identify Normal Distribution.
  4. Basics of Hypothesis Testing.
  5. Testing Hypotheses about Counts.
  6. Correlation and Regression.
  7. Statistical Models.

Assessment

Participants are required to successfully complete self-assessment quizzes and two Bio-stats assignments and obtain a pass mark of 50%.

Accreditation

This course is valued at 15 Credits as part of the Master of Public Health (MPH) (NQF Level 9, 180 Credits, SAQA ID: 117086). The MPH may be achieved in part through Credit Accumulation and Transfer (CAT) up till 50%. Should you successfully complete this course, you can apply for CAT, should you be accepted to the Master of Public Health.

Accredited according to the HPCSA’s Medical and Dental Board Guidelines for 30 Clinical CEU’s on Level 2. In order to qualify for CPD points, a student is required to obtain a final pass mark of 70%.

Certification

To obtain a certificate of completion participants are required to work through all materials and resources provided as well as successfully complete the assessment process.

Course Duration

Participants have access for a 3-month period. It will take approximately 4 weeks to work through all materials and resources provided as well as complete the assessment process.

Contact

Tel: 0878211109

Fax: 086 550 3692

E-mail: shortprog@foundation.co.za

Address: P.O. Box 75324, Lynnwood Ridge, 0040

Website: www.foundation.co.za




COURSE
R 4,150.00 (incl VAT)

30.0 General Points

30.0 Max Points

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