Simulation and Analysis of Platform Trials with Non-Concurrent Controls

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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