R: Simulation and Analysis of Platform Trials with Non-Concurrent Controls

# Simulation and Analysis of Platform Trials with Non-Concurrent Controls

## Documentation for package ‘NCC’ version 1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

datasim_bin | Simulate binary data from a platform trial with a shared control arm and a given number of experimental treatment arms entering at given time points
datasim_cont | Simulate continuous data from a platform trial with a shared control arm and a given number of experimental treatment arms entering at given time points
fixmodel_bin | Frequentist logistic regression model analysis for binary data adjusting for periods
fixmodel_cal_bin | Frequentist logistic regression model analysis for binary data adjusting for calendar time units
fixmodel_cal_cont | Frequentist linear regression model analysis for continuous data adjusting for calendar time units
fixmodel_cont | Frequentist linear regression model analysis for continuous data adjusting for periods
gam_cont | Generalized additive model analysis for continuous data
get_ss_matrix | Sample size matrix for a platform trial with a given number of treatment arms
inv_u_trend | Generation of an inverted-u trend
linear_trend | Generation of a linear trend that starts in a given period
MAPprior_bin | Analysis for binary data using the MAP Prior approach
MAPprior_cont | Analysis for continuous data using the MAP Prior approach
mixmodel_AR1_cal_cont | Mixed regression model analysis for continuous data adjusting for calendar time units as a random factor with AR1 correlation structure
mixmodel_AR1_cont | Mixed regression model analysis for continuous data adjusting for periods as a random factor with AR1 correlation structure
mixmodel_cal_cont | Mixed regression model analysis for continuous data adjusting for calendar time units as a random factor
mixmodel_cont | Mixed regression model analysis for continuous data adjusting for periods as a random factor
piecewise_cal_cont | Model-based analysis for continuous data using discontinuous piecewise polynomials per calendar time unit
piecewise_cont | Model-based analysis for continuous data using discontinuous piecewise polynomials per period
plot_trial | Function for visualizing the simulated trial
poolmodel_bin | Pooled analysis for binary data
poolmodel_cont | Pooled analysis for continuous data
seasonal_trend | Generation of a seasonal trend
sepmodel_adj_bin | Separate analysis for binary data adjusted for periods
sepmodel_adj_cont | Separate analysis for continuous data adjusted for periods
sepmodel_bin | Separate analysis for binary data
sepmodel_cont | Separate analysis for continuous data
sim_study | Wrapper function performing simulation studies for a given set of scenarios (not parallelized)
sim_study_par | Wrapper function performing simulation studies for a given set of scenarios (parallelized on replication level)
splines_cal_cont | Spline regression analysis for continuous data with knots placed according to calendar time units
splines_cont | Spline regression analysis for continuous data with knots placed according to periods
sw_trend | Generation of stepwise trend with equal jumps between periods
timemachine_bin | Time machine analysis for binary data
timemachine_cont | Time machine analysis for continuous data