adj.risk |
Adjusted risk |
adj.risk.sim |
Adjusted risk for simulation models |
ap |
Apparent prevalence |
binom.agresti |
Agresti-Coull confidence limits |
binom.cp |
Clopper-Pearson exact confidence limits |
binom.jeffreys |
Jeffreys confidence limits |
disc.prior |
Discounted prior probability of freedom |
epi.calc |
Effective probability of infection (EPI) |
n.2stage |
2-stage freedom sample size |
n.ap |
Sample size for apparent prevalence |
n.binom |
Binomial sample size |
n.c.freecalc |
Freecalc optimum sample size and cut-point number of positives |
n.c.hp |
Hypergeometric (HerdPlus) optimum sample size and cut-point number of positives |
n.freecalc |
Freecalc sample size for a finite population and specified cut-point number of positives |
n.freedom |
Freedom sample size |
n.hp |
Hypergeometric (HerdPlus) sample size for finite population and specified cut-point number of positives |
n.hypergeo |
Hypergeometric sample size |
n.pfree |
Sample size to achieve desired (posterior) probability of freedom |
n.pooled |
Sample size for pooled testing for freedom |
n.rb |
Risk-based sample size |
n.rb.2stage.1 |
sample size for 2-stage risk-based surveillance, risk factor at cluster level only |
n.rb.2stage.2 |
Sample size for 2-stage risk-based surveillance, allowing for risk factors at either or both cluster and unit level |
n.rb.varse |
Risk-based sample size for varying unit sensitivity |
n.tp |
Sample size for true prevalence |
pfree.1 |
Probability of freedom for single time period |
pfree.calc |
Probability of freedom over time |
pfree.equ |
Equilibrium probability of freedom |
pstar.calc |
Design prevalence back-calculation |
se.parallel |
Sensitivity of tests in parallel |
se.series |
Sensitivity of tests in series |
sep |
Population sensitivity |
sep.binom |
Binomial Population sensitivity |
sep.binom.imperfect |
Binomial population sensitivity for imperfect test |
sep.exact |
Population sensitivity for census (all units tested) |
sep.freecalc |
FreeCalc population sensitivity for imperfect test |
sep.hp |
Hypergeometric (HerdPlus) population sensitivity for imperfect test |
sep.hypergeo |
Hypergeometric Population sensitivity |
sep.passive |
Passive surveillance sensitivity |
sep.pfree |
Population sensitivity to achieve desired (posterior) probability of freedom |
sep.pooled |
Pooled population sensitivity |
sep.prior |
Population sensitivity to achieve desired prior probability of freedom |
sep.rb.bin |
Binomial risk-based population sensitivity |
sep.rb.bin.varse |
Binomial risk-based population sensitivity for varying unit sensitivity |
sep.rb.hypergeo |
Hypergeometric risk-based population sensitivity |
sep.rb.hypergeo.varse |
Hypergeometric risk-based population sensitivity for varying unit sensitivity |
sep.rb2.binom |
Binomial risk-based population sensitivity for 2 risk factors |
sep.rb2.hypergeo |
Hypergeometric risk-based population sensitivity for 2 risk factors |
sep.sys |
2-stage population sensitivity |
sep.var.se |
Population sensitivity for varying unit sensitivity |
sp.parallel |
Specificity of tests in parallel |
sp.series |
Specficity of tests in series |
sph.binom |
Binomial population specificity for imperfect test |
sph.hp |
Hypergeometric population specificity calculation |
spp |
Population specificity |
sse.combined |
System sensitivity by combining multiple surveillance components |
sse.rb.2stage |
Two-stage risk-based system sensitivity |
tp |
True prevalence |
tp.normal |
Normal approximation confidence limits for true prevalence |