Description Usage Arguments Details Value References See Also Examples

View source: R/nicqFunctions.R

For testing the alternative F2(t)< g(F1(t)). We give several built-in choices for the function g. All functions must be defined in terms of delta and q, where F1(t0)=q and t0 is defined implicitly, and delta = F2(t0) - g(F1(t0)).

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`p` |
a vector of F1(t) values, where F1(t) is the proportion of control that failed by t. |

`q` |
the probability associated with the control quantile of interest, not used for calculations in |

`delta` |
the difference: F2(t0) - g(F1(t0)) |

The functions are defined in terms of `delta`

and `q`

so that the function can change as a function of `delta`

and we can use the function to get confidence intervals for delta (defined in terms of q, since q=F1(t0) which defines t0).

Functions should handle vectors of F1(t) values, and the output is a vector of the same length. The results should be between 0 and 1.

The function `nimDiffOR`

gives the minimum of the difference (defined by delta) or the odds ratio (defined in terms of q and delta) when delta>0, and the maximum when delta<0.

For plots of the functions see Fay and Follmann (2015).

a vector of values g(F1(t)).

Fay, MP and Follmann DA (2015). Non-inferiority Tests for Anti-Infective Drugs using Control Quantiles. (unpublished manuscript).

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