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Advanced Statistical Methods


This course provides students with the necessary skills they need to perform statistical analysis of data from biomedical research, healthcare administration, electronic medical records, vital statistics, disease registries, and research databases. Students will learn the appropriate statistical techniques used for estimation and inference. The course enhances participants understanding of statistical modelling for continuous and binary data and their assumptions, correlated data analysis, and longitudinal data analysis. The use of a statistics package, such as SPSS, to analyze case studies will be important throughout.

Learning objectives

By the end of this course, the participant will be able to:

  1. Demonstrate mastery of essential concepts in hypothesis testing & statistical inference.
  2. Apply statistical concepts commonly used in health sciences & health informatics
  3. Conduct statistical analysis using the appropriate statistical procedures for biomedical data and archival data
  4. Interpret results, draw conclusions, and prepare statistical reports

Course Outline

  1. Review of epidemiologic study designs
    1. Measures of central tendency and measures of variability
    2. Graphical method
  2. Estimation and hypothesis testing
  3. Two-Sample T-test (independent samples)
  4. Chi-square test of independence
  5. Analysis of variance
  6. Repeated measures analysis
  7. Correlation coefficient and linear regression
  8. Logistic regression
  9. Survival analysis
    1. Kaplan-Meier Survival Curves
    2. Cox Proportional Hazards Models
  10. General Linear Models
  11. Factor analysis

Training Delivery Methods

  1. In-class method
  2. Online method
  • Duration: 30 Learning Hours

Accredited By


Participant who complete the stand alone course will be awarded a Certificate of Course Completion.