Disease surveillance
Definitions & Key takeaways
Disease surveillance is the process of collecting, analyzing, and interpreting epidemiological data to monitor the spread of disease. This helps to predict and minimize the damage that harmful outbreaks can cause.
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Introduction to biostatistics
Epidemiology and population health
Study design, types, and selection of studies
Measures of association
Distributions of data
Correlation and regression
Principles of testing and screening
Study interpretation and drawing conclusions from data
Bias in interpreting results of clinical studies
Bias in performing clinical studies
Confounding
Information bias
Interaction
Selection bias
Disease causality
Hypothesis testing: One-tailed and two-tailed tests
Chi-squared test
Fisher's exact test
Kappa coefficient
Mann-Whitney U test
Spearman's rank correlation coefficient
One-way ANOVA
Paired t-test
Repeated measures ANOVA
Two-sample t-test
Two-way ANOVA
Type I and type II errors