Interim_test: Title Stochastic curtailment test calculation

In Palash63/RelativeM: Calculate the sample size using the Relative Time method under NPH and NPT secnerios

Description

Title Stochastic curtailment test calculation

Usage

Interim_test(alpha, beta_c, scenario)

Arguments

alpha	numeric variable
beta_c	numeric variable
scenario	numeric variable

Examples

sample_final <- sample_size(alpha = 0.05,sides = 1,beta0  = 0.25,median_c = 4,p1 = 0.1,p2 = 0.9,RT_P1 = 1.52,RT_P2 = 1.98,qmin = 0.001,qmax = 0.999,Power = 0.8,r = 1,a = 12,f = 12,p_event=0.8)

sample_final

sample_int <- sample_size(alpha = 0.05,sides = 1,beta0  = 0.25,median_c = 4,p1 = 0.1,p2 = 0.9,RT_P1 = 1.52,RT_P2 = 1.98,qmin = 0.001,qmax = 0.999,Power = 0.8,r = 1,a = 12,f = 6,p_event=0.8)
sample_int

data_int <- interim_data(beta_c = 0.25,beta_t =0.2447551, median_c = 4,median_t = 6)

result = Interim_test(alpha = 0.05*0.90,beta_c = 0.25,scenario =1)
result

## Not run: 
sample_final <- sample_size(alpha = 0.05,sides = 1,beta0  = 0.25,median_c = 4,p1 = 0.1,p2 = 0.9,RT_P1 = 1.52,RT_P2 = 1.98,qmin = 0.001,qmax = 0.999,Power = 0.8,r = 1,a = 12,f = 12,p_event=0.8)

sample_final

sample_int <- sample_size(alpha = 0.05,sides = 1,beta0  = 0.25,median_c = 4,p1 = 0.1,p2 = 0.9,RT_P1 = 1.52,RT_P2 = 1.98,qmin = 0.001,qmax = 0.999,Power = 0.8,r = 1,a = 12,f = 6,p_event=0.8)
sample_int

data_int <- interim_data(beta_c = 0.25,beta_t =0.245, median_c = 4,median_t = 6) # Secnerio 2: They are different : RT_P1 = 1.52 AND RT_P2 = 1.98

result = Interim_test(alpha = 0.05*0.90,beta_c = 0.25,scenario =1)
result

## End(Not run)



sample_int

Palash63/RelativeM documentation built on Dec. 18, 2021, 6:39 a.m.