Design and Analysis of Disease Surveillance Activities

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... |

n.c.hp | Hypergeometric (HerdPlus) optimum sample size and cut-point... |

n.freecalc | Freecalc sample size for a finite population and specified... |

n.freedom | Freedom sample size |

n.hp | Hypergeometric (HerdPlus) sample size for finite population... |

n.hypergeo | Hypergeometric sample size |

n.pfree | Sample size to achieve desired (posterior) probability of... |

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... |

n.rb.2stage.2 | Sample size for 2-stage risk-based surveillance, allowing for... |

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 |

sep | Population sensitivity |

se.parallel | Sensitivity of tests in parallel |

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... |

sep.hypergeo | Hypergeometric Population sensitivity |

sep.passive | Passive surveillance sensitivity |

sep.pfree | Population sensitivity to achieve desired (posterior)... |

sep.pooled | Pooled population sensitivity |

sep.prior | Population sensitivity to achieve desired prior probability... |

sep.rb2.binom | Binomial risk-based population sensitivity for 2 risk factors |

sep.rb2.hypergeo | Hypergeometric risk-based population sensitivity for 2 risk... |

sep.rb.bin | Binomial risk-based population sensitivity |

sep.rb.bin.varse | Binomial risk-based population sensitivity for varying unit... |

sep.rb.hypergeo | Hypergeometric risk-based population sensitivity |

sep.rb.hypergeo.varse | Hypergeometric risk-based population sensitivity for varying... |

sep.sys | 2-stage population sensitivity |

sep.var.se | Population sensitivity for varying unit sensitivity |

se.series | Sensitivity of tests in series |

sph.binom | Binomial population specificity for imperfect test |

sph.hp | Hypergeometric population specificity calculation |

spp | Population specificity |

sp.parallel | Specificity of tests in parallel |

sp.series | Specficity of tests in series |

sse.combined | System sensitivity by combining multiple surveillance... |

sse.rb.2stage | Two-stage risk-based system sensitivity |

tp | True prevalence |

tp.normal | Normal approximation confidence limits for true prevalence |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.