riskRegression: transformCI – R documentation

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transformCI

Compute Confidence Intervals using a transformation

Description

Compute confidence intervals using a transformation. The resulting confidence interval is returned on the original case (i.e. back-transformed).

Usage

transformCI(estimate, se, quantile, type, min.value, max.value)

Arguments

`estimate`	[numeric matrix] the estimate value before transformation.
`se`	[numeric matrix] the standard error after transformation.
`quantile`	[numeric vector] quantile that will be multiplied to each column of `se`.
`type`	[character] the transforamtion. Can be `"log"`, `"loglog"`, `"cloglog"`, or `"atanh"` (Fisher transform).
`min.value`	[numeric] if not `NULL` and the lower bound of the confidence interval is below `min`, it will be set at `min`.
`max.value`	[numeric] if not `NULL` and the lower bound of the confidence interval is below `max`, it will be set at `max`.

Details

se and estimate must have same dimensions.

riskRegression

Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

v2020.12.08

GPL (>= 2)

Authors

Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut] (<https://orcid.org/0000-0001-9694-2956>)

Initial release