sRCT {clintools}

simulated Randomised Clinical Trial (sRCT)

Description

sRCT() is a function which simulates a randomised clinical trial with a binary outcome and returns a dataframe. This version is validated to be used for analysis of interaction in a factorial design.

Usage

sRCT(all_sizes = NULL, n_pop = 1000,
n_sites = 10, design = c(2,2,2),
rrr = c(0.05,0.05,0), outcome_risk = 0.492,
interaction = c(`1-2` = 0.05, `1-2-3` = -0.05),
site_re = 0.05)

Arguments

all_sizes

Size of blocks in allocation table. If left empty the three lowest possible block sizes will be randomly assigned.

n_pop

Number of participants included in the trial.

n_sites

Number of sites

design

Number of sites as a list where each element corresponds to an intervention and the number in the element is the number of groups. So for a 2x2 factorial design c(2,2) should be used.

rrr

relative risk reduction for each intervention so for the abovementioned 2x2 factorial design with RRR of 0.05 and 0.10 we would use c(0.05,0.10).

outcome_risk

The baseline risk (probability in absolute percentage) of the dichotomous primary outcome.

interaction

Interaction between interventions with a named list. If interaction exists between intervention 1 and 2 we would use 1-2 = 0.05.

site_re

The size of the random effect of site, default is 0.05.

Details

The sRCT function is continuously being developed to answer specific questions in simulation studies. sRCT will be updated and tested for each specific question. For each update the function will be validated for the current purpose and all previous purposes. sRCT is not validated for all simulation studies

Value

Returns a dataframe with an individual participant data frame.

Examples

sRCT()