DBCD_GAUSSIAN {RARfreq}

Doubly Adaptive Biased Coin Design (Gaussian Responses)

Description

Allocates patients to one of treatments based on doubly adaptive biased coin design on summarized data.

Usage

DBCD_GAUSSIAN(Mean_RK,SD_RK, N_RK, group_allo, rho_func_index,
rho_func, alpha)

Arguments

Mean_RK

A vector of current response means for each treatment arm.

SD_RK

A vector of current response standard deviations for each treatment arm.

N_RK

A vector of current enrolled subjects in each arm. The length must be the same as 'Mean_RK'.

group_allo

An integer of the size of group allocation. The default is 1.

rho_func_index

Supply a number of 1 or 2 indicting the allocation function to use. 1 = Zhang-Rosenberger allocation; 2 = Neyman allocation. The default is 2.

rho_func

Supply a user-specified allocation function of Mean_RK and SD_RK when rho_func_index is NULL. Default is NULL.

alpha

Supply a number indicating the subscripts of the probability function. The default is 2.

Details

'DBCD_GAUSSIAN' assigns the next subject to a group given the observed success rates, enrolled subjects and allocation function.

Value

Number of the arm that the next subject is assigned to.

Examples

# There are 2 arms each of which receives 10 patients.
# The observed response means are 4.5 and 5, respectively.
# The following command returns the number of arm that the next patient will
# be assigned to.
DBCD_GAUSSIAN(Mean_RK = c(4.5,5),
SD_RK = c(1.32,0.72),
N_RK = c(10,10),
rho_func_index = 2, alpha=2)

DBCD_GAUSSIAN(Mean_RK = c(4.5,5),
SD_RK = c(1.32,0.72),
N_RK = c(10,10),
rho_func_index = 1, alpha=2)