normal_outcome: Parameters for treatment and control in normal case
In bayesCT: Simulation and Analysis of Adaptive Bayesian Clinical Trials

Description Usage Arguments Value Examples

View source: R/normal.R

Wrapper function for mean and standard deviation with normal outcome.

normal_outcome(
  mu_control = NULL,
  sd_control = NULL,
  mu_treatment = NULL,
  sd_treatment = NULL,
  data = NULL
)

`mu_control`	numeric. The mean for the control group.
`sd_control`	numeric. The standard deviation for the control group.
`mu_treatment`	numeric. The mean for the treatment group.
`sd_treatment`	numeric. The standard deviation for the treatment group.
`data`	NULL. stores the proportion of control and treatment, please do not fill it in.

a list with proportion of control and treatment group.

1	normal_outcome(mu_control = 12, mu_treatment = 8, sd_treatment = 2.2, sd_control = 1.6)

bayesCT documentation built on July 2, 2020, 2:34 a.m.

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README.md bayesCT: An R package for Simulation in Adaptive Bayesian Clinical Trials Binomial Outcome Normal Outcome Time-to-Event Outcome

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