Calculates risk-based population sensitivity for two risk factors, using hypergeometric approximation method (assumes a known population size)

1 | ```
sep.rb2.hypergeo(pstar, rr1, rr2, N, n, se)
``` |

`pstar` |
design prevalence (scalar) |

`rr1` |
relative risks for first level risk factor (vector of values corresponding to the number of risk strata) |

`rr2` |
relative risks for second level risk factor, matrix, rows = levels of rr1, cols = levels of rr2 |

`N` |
matrix of population size for each risk group (rows = levels of rr1, cols = levels of rr2) |

`n` |
matrix of number tested (sample size) for each risk group (rows = levels of rr1, cols = levels of rr2) |

`se` |
test unit sensitivity (scalar) |

list of 6 elements, a scalar of population-level sensitivity a matrix of EPI values, a vector of corresponding Adjusted risks for the first risk factor and a matrix of adjusted risks for the second risk factor, a vector of population proportions for the first risk factor and a matrix of population proportions for the second risk factor

1 2 3 4 5 6 7 8 |

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