replext_t4_c7.1: Replicate and Extend Simulation Results from Table 4 Cell 7.1

In npboottprm: Nonparametric Bootstrap Test with Pooled Resampling

Replicate and Extend Simulation Results from Table 4 Cell 7.1

Description

This function is a customized version of 'replext_t4_c1.1', created to replicate and extend the simulation results from Table 4 cell 7.1 of the paper by Dwivedi et al. (2017). It is configured to use different distributions for each group, specifically a lognormal distribution for the first group and a Chi-squared distribution for the second group, aligning with the specific cell conditions.

Usage

replext_t4_c7.1(
  rdist = c("rlnorm", "rchisq"),
  par1_1 = 1,
  par2_1 = 0.6,
  par1_2 = 6,
  par2_2 = 0,
  n1 = c(5, 5, 10),
  n2 = c(5, 10, 10),
  n_simulations = 10000,
  nboot = 1000,
  conf.level = 0.95
)

Arguments

rdist	Vector of distribution types, with the defaults set to 'rlnorm' (lognormal) for the first group and 'rchisq' (Chi-squared) for the second group. Other options include 'rpois' (Poisson) and 'rcauchy' (Cauchy).
par1_1	First parameter (meanlog) for the first group's lognormal distribution, default is 1.
par2_1	Second parameter (sdlog) for the first group's lognormal distribution, default is 0.6.
par1_2	First parameter (df) for the second group's Chi-squared distribution, default is 6.
par2_2	Second parameter for the second group's Chi-squared distribution, typically 0.
n1	Vector of sample sizes for the first group.
n2	Vector of sample sizes for the second group, must be the same length as n1.
n_simulations	Number of simulations to run, default is 10,000.
nboot	Number of bootstrap samples, default is 1000.
conf.level	Confidence level for calculating p-value thresholds, default is 0.95.

Value

A data frame with columns for each sample size pair (n1, n2) and the proportions of significant p-values for each test (ST, WT, NPBTT, WRST, PTTa, PTTe).

Note

When using rlnorm (lognormal distribution), 'par1' represents 'meanlog' (the mean of the logarithms) and 'par2' represents 'sdlog' (the standard deviation of the logarithms). For rpois (Poisson distribution), 'par1' is 'lambda' (the rate parameter). In the case of rchisq (Chi-squared distribution), 'par1' is 'df' (degrees of freedom) and 'par2' is typically 0 as 'ncp' (non-centrality parameter) is not often used. Lastly, for rcauchy (Cauchy distribution), 'par1' is the 'location' parameter and 'par2' is the 'scale' parameter.

References

Dwivedi AK, Mallawaarachchi I, Alvarado LA. Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method. Stat Med. 2017 Jun 30;36(14):2187-2205. doi: 10.1002/sim.7263. Epub 2017 Mar 9. PMID: 28276584.

Examples

replext_t4_c7.1(n1 = c(10), n2 = c(10), n_simulations = 1)

npboottprm documentation built on Sept. 13, 2024, 5:06 p.m.