SingleArmStudy: Create a 'Study' object for a single arm trial

In scientific-computing-solutions/eventPrediction: Event Prediction in Clinical Trials with Time-to-Event Outcomes

Description

Create a Study object for a single arm trial

Usage

SingleArmStudy(N, study.duration, ctrl.median, k, acc.period, shape = 1,
  dropout = NULL, lag.settings = NullLag())

Arguments

N	Number of subjects to be recruit (integer)
study.duration	Number of months the study will be going.
ctrl.median	Median time to an event in the control group.
k	non-uniformity of accrual (integer, 1=uniform). Non-uniform accrual is allowed for using the following distribution for the probability of a patient entering the trial at time b within the accrual period [0,B]: F(b)=b_k/B_k; f(b)=k b_{k-1}/B_k where k is the measure of non-uniformity (k>0). k=1 indicates uniform accrual. This implies that during the first half of the accrual period, 1/2^k of the patients will be recruited. Half of the patients will be recruited by time B/2^{1/k}.
acc.period	Accrual time.
shape	The Weibull shape parameter
dropout	if subjects drop out in study (due to competing risks not as there is a finite follow up time) then this argument should contain a list with proportion and time and optionally shape i.e. dropout=list(proportion=0.03,time=12,shape=1.2) meaning in the absence of events 3 will have dropped out after 12 months with a Weibull hazard rate with shape=1.2. If shape is not included then it defaults to 1 (exponential rate). If dropout is NULL then no subjects will drop out
lag.settings	The LaggedEffect object describing any lag effect for the study

Value

A Study object

scientific-computing-solutions/eventPrediction documentation built on May 29, 2019, 3:44 p.m.