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Postgraduate |
(MED)
|
Leader: Prof J Anderson
Offered:
MMS-ALFRED First semester 2006 (Day)
Synopsis: Descriptive statistics - graphs and tables. Theoretical and empirical probability distributions - chi-square, student's-t, binomial, Poisson, standard normal. Basic statistics - mean, median, mode, minimum, maximum, standard deviation, proportion. Standard errors, confidence intervals and their construction. Paired and unpaired t-tests. Chi-square and Fisher's exact for contingency tables. Non-parametric tests, correlation and bivariate regression. Relative risks and Odds ratios.
Objectives: On completion of this unit students should be able to: 1. perform simple statistical analyses of small data sets by hand; 2. identify the appropriate technique for data analysis; 3. obtain p-values from tables; 4. distinguish between clinical and statistical significance; 5. understand the concept of a Type I and Type II error and identify where these may have occurred; 6. calculate and explain the interpretation of simple confidence intervals.
Homepage:
Assessment: Mid-semester + Final examinations
Contact Hours: 2 contact hours per week
Corequisites: MPH1030