prop_to_mu_two_arm: Convert a proportion of dropouts to a dropout rate.

In dominicmagirr/expectedevents: Calculate the expected number of events

Description

prop_to_mu_two_arm converts a proportion of patients who have withdrawn at data cut-off dco to the corresponding exponential dropout rate. This takes into acount the competing risk of the event-of-interest.

Usage

prop_to_mu_two_arm(prop_withdrawn = 0.2, dco = 28, recruitment, model)

Arguments

dco	Time of data cut-off.
recruitment	List of recruitment information. Containing Sample size on control, n_0 Sample size on experimental, n_1 Recruitment period, r_period Recruitment parameter for power model, k
model	The piecewise hazard model. A list containing the change_points and lambdas.

Value

The dropout rate mu that would lead to prop_withdrawn at dco.

dominicmagirr/expectedevents documentation built on May 7, 2019, 4:39 p.m.