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transformT

Compute T-statistic after a Transformation

Description

Compute T-statistic after a transformation.

Usage

transformT(estimate, se, null, type, alternative)

Arguments

estimate

[numeric matrix] the estimate value before transformation.
se

[numeric matrix] the standard error after transformation.
null

[numeric] the value of the estimate (before transformation) under the null hypothesis.
type

[character] the transforamtion. Can be "log", "loglog", "cloglog", or "atanh" (Fisher transform).
alternative

[character] a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".

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

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