Diagnostic test performance measures | Sensitivity and specificity | Positive and negative predictive values | Interpretation of diagnostic tests in series and parallel | Parallel interpretation | Series interpretation | Increasing the predictive value of a positive test | Estimation of the true prevalence of disease based on imperfect test results | Estimate the number of false positive and false negative test results | Estimate the characteristics of diagnostic tests applied at the herd (group) level | Estimate herd test characteristics when samples are pooled | Compute the post-test probability of disease given characteristics of a diagnostic test | References | nocite: '@*'

Measures of association strength | The incidence risk ratio | The odds ratio --- cohort studies | The odds ratio --- case-control studies | Measures of effect in the exposed | The attributable risk in the exposed | The attributable fraction in the exposed | Measures of effect in the population | The attributable risk in the population | The attributable fraction in the population | Theory to practice: Calculating measures of association using R | Direct entry of 2 by 2 table contingency table cell frequencies | Data frame with one row per observation | Two by two table preparation using the table function in base R | Two by two table preparation using tidyverse | Measures of association for a series of candidate risk factors | Confounding | Stratified two by two table preparation using the table function in base R | Stratified two by two table preparation using tidyverse | References | nocite: '@*'

Prevalence estimation | Prospective cohort studies | Case-control studies | Non-inferiority trials | Estimation of a population parameter, one-stage cluster sampling | Estimation of a population parameter, two-stage cluster sampling | References

Individual | Time | One row of data for each case | Integers representing counts of cases on each date | Place | References

Definitions | An approach for thinking about surveillance design and assessment | Representative sampling | Sample size estimation | Estimation of surveillance system sensitivity and specificity | Estimation of the probability of disease freedom | Risk-based sampling | How many samples do I need? | Surveillance system sensitivity | Analysis of passive surveillance data | Miscellaneous functions | Adjusted relative risks | Design prevalence back calculation | References