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doublyTValues

Calculation of the biased type-one-error probability (resp. power) of Student's t-test


Description

Computes the biased type-one-error probability (resp. power) of Student's t-test due to shifts in the expectation vectors in both treatment groups.

Usage

doublyTValues(randSeq, bias, endp)

Arguments

randSeq

object of the class randSeq.

bias

object of the class bias.

endp

object of the class endpoint.

Value

the biased type-one-error probability (resp. power) of all randomization sequences.


randomizeR

Randomization for Clinical Trials

v2.0.0
GPL (>= 3)
Authors
David Schindler [aut], Diane Uschner [aut, cre], Marcia Viviane Rueckbeil [ctb], Martin Manolov [ctb], Thi Mui Pham [ctb], Michael Martini [ctb], Ralf-Dieter Hilgers [aut, ths], Nicole Heussen [aut, ths]
Initial release
2019-11-15

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