estimateAccrualParameter-methods: Generic function to estimate non-uniformity accrual parameter...

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

Description

Note The estimate produced assumes recruitment has completed.

Usage

estimateAccrualParameter(object, ...)

## S4 method for signature 'EventData'
estimateAccrualParameter(object,
  start.date = min([e-mail]$rand.date),
  end.date = max([e-mail]$rand.date))

Arguments

object	An EventData object
...	Additional arguments to be passed to specific method
start.date	The startdate for recruitment, by default the date the first subject is recruited. If subjects are recruited on start.date, it is assumed they are recruited on the following day to avoid log(0) in the maximum likelihood estimate.
end.date	The end date for recruitment, by default the date the last subject is recruited.

Value

A maximum likelihood estimate for k, see vignette for further details

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