sim_calc: Conducted a study with a internal pilot study and normally...

In vanLunteren/plan_norm: R-tool for planning clinical studies on normally distributed data

Description

This is an auxiliary function of 'sim_sample_pow'. It is conducting a study with a internal pilot study and normally distributed data. The calculated value of the test statistic is compared directly with the corresponding quantile of the t-distribution.

Usage

sim_calc(n1, N0, sd_ber, delta = 0, Delta, test = 1, alpha = 0.05, beta = 0.2,
         adj = F, rule = F, nbound = 500)

Arguments

n1	Number. Size of the internal pilot study.
N0	Number. Size of the originally planned sample size.
sd_ber	Number. Actual standard deviation in the data.
delta	Number. Expectation difference of two samples. If you select a Test for superiority/ difference then select 'delta = 0'. Only if you select a Test for non-inferiority you can select 'delta != 0'. Attention: If you chose 'test = 1' and 'delta != 0', the test for non-inferiority will automatically be applied. If not specified, delta is set to 0.
Delta	Number. Relevant difference of expected values in the alternative hypothesis.
test	Number. What type of hypothesis test should be performed. One-sided (Superiority/ Non-Inferiority test) or two-sided (Test for difference). One-sided (test = 1): Superiortity H0: mu_x - mu_y <= 0 vs. H1: mu_x - mu_y > 0 Non-Inferiority H0: mu_x - mu_y >= delta vs. H1: mu_x - mu_y < delta Two-sided (test = 2): Difference H0: |mu_x - mu_y| = 0 vs. H1: |mu_x - mu_y| != 0 Attention: Choice of delta. (see delta) If not specified, the one-Sided Test (Superiority/ Non-Inferiority Test) is used.
alpha	Number. Desired alpha-level of the test. If not specified, alpha is set to 0.05.
beta	Number. Acceptable beta error of the test. If not specified, beta is set to 0.2.
adj	Logical. Should the one-sample variance, calculated in the internal pilot study, be adjusted?
rule	Logical. Should the sample size adjustment rule be applied by Wittes and Brittain?
nbound	Number. Upper limit of the sample size. Attention: Only if you choose nbound can a suitable standard deviation range for the plots be calculated automatically. If no nbound are defined then a standard deviation range must be chosen (see sd_ber).

Value

This function returns a value if the simulation study rejects (1) or can not reject (0) the
null hypothesis.

Author(s)

Csilla van Lunteren

See Also

test_h0

vanLunteren/plan_norm documentation built on May 20, 2019, 12:32 p.m.