2017/18
25404 - Applied Statistics in Health Sciences
Basic Education
5.3. Syllabus
Introduction
1.1 The scientific method
1.2 Steps in the research process
1.3 Population and sample
1.4 Types of statistical data
Univariate descriptive statistics
2.1 Describing data using tables and graphs
2.2 Distribution of a variable: central tendency
2.3 Distribution of a variable: dispersion and shape
2.4 Incidence and prevalence
2.5 Univariate descriptive statistics using a statistical package
Bivariate descriptive statistics
3.1 Contingency tables
3.2 Marginal and conditional distributions
3.3 Introduction to Chi square tests
3.4 Scatter plots
3.5 Covariance and linear correlation coefficient
3.6 Introduction to linear regression
3.7 Bivariate descriptive statistics using a statistical package
Probability
4.1 Basic concepts in probability
4.2 Conditional probability and independence
4.3 Law of total probability. Bayes’ theorem
4.4 Diagnostic tests: sensitivity and specificity
Random variables
5.1 Random variables and their characteristics
5.2 Discrete random variables. The Bernoulli, binomial and Poisson distributions
5.3 Continuous random variables. The uniform, exponential and Normal distributions
5.4 Probabilities and quantiles using a statistical package
Statistical inference
6.1 Introduction to sampling
6.2 Point estimation
6.3 Confidence interval
6.4 Statistical hypothesis testing