corGuess: Representing the expected number of correct guesses

In randomizeR: Randomization for Clinical Trials

Representing the expected number of correct guesses

Description

Represents the expected number of correct guesses of randomization sequences.

Usage

corGuess(type)

Arguments

type	character string, should be one of "CS" or "DS", see Details.

Details

Selection bias can be an issue in the design of a clinical trial. The expected number of correct guesses is one measure for selection bias. The corGuess function is a constructor function for an S4 object of the class corGuess representing the issue of correct guesses in a clinical trial. The parameter type takes the following values:

"CS"

refers to "convergence strategy", i.e. the investigator predicts the treatment which has hitherto occurred less often.

"DS"

refers to "divergence strategy", i.e. the investigator predicts the treatment which has hitherto occurred more often.

Value

S4 object of class corGuess, a formal representation of the issue of correct guesses in a clinical trial.

References

D. Blackwell and J.L. Hodges Jr. (1957) Design for the control of selection bias. Annals of Mathematical Statistics, 25, 449-60.

See Also

Other issues: chronBias, combineBias(), imbal, issue, selBias, setPower()

randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.