Introduction | Estimating MDRI using binomial regression | Example of mdrical using the complementary log-log functional form and pre-classified data | Example of mdrical using the logit cubic functional form and two independent thresholds on biomarkers | Obtaining fitting parameters for bootstrap iterations | Estimating FRR using binomial proportions with frrcal

Introduction | Historical context | Overview of Functionality and Use | Analysis in support of survey design | Analysis of survey data | Estimation of key performance characteristics of Tests for Recent Infection | Glossary | HIV infected individual | Mean duration of recent infection (MDRI) | False-recent rate (FRR) | Incidence as a (or, an “instantaneous”) rate | Annual(ised) risk of infection | Recency time cut-off T (“Big T”) | Relative standard error (RSE) | Null hypothesis | p-value | Significance | Sample size | Design effect | Citation | Acknowledgements | Appendix: Technical details | Case 1: Surveys share a single estimate for MDRI and a single estimate for FRR | Case 2: Surveys share a single estimate for MDRI, but have independent FRR estimates | Case 3: Both MDRI and FRR are independently estimated in each survey | Note: | Crucial note on choice of null hypothesis, calculation of p-values and meaning of “statistical power”

Introduction | Analytical Paradigm | Using functions incprops and inccounts | Examples | Function prevcounts

Function incpower | Examples | Function incprecision