nSurvNPH: Sample Size Under Non-Propotional Hazards Assumptions

In keaven/nphsim: Non proportional hazards sample size and simulation

Description

Description text; note that parameter descriptions below as well as text for help file needs to be updated.

Usage

nSurvNPH(lambdaC = log(2)/6, hr = 0.6, hr0 = 1, etaC = 0,
  etaE = NULL, NONCMPL = 0, DROPIN = 0, gamma = 1, R = 12,
  S = NULL, T = NULL, minfup = NULL, ratio = 1, alpha = 0.025,
  beta = 0.1, sided = 1, tol = .Machine$double.eps^0.25, SBDV = 20,
  SIMULT = FALSE, TRT_LAG = 0, nstrata = 1)

Arguments

lambdaC	scalar, vector or matrix of event hazard rates for the control group; rows represent time periods while columns represent strata; a vector implies a single stratum.
hr	hazard ratio (experimental/control) under the alternate hypothesis (scalar)
hr0	hazard ratio (experimental/control) under the null hypothesis (scalar)
etaC	scalar, vector or matrix of dropout hazard rates for the control group; rows represent time periods while columns represent strata; if entered as a scalar, rate is constant accross strata and time periods; if entered as a vector, rates are constant accross strata
etaE	matrix dropout hazard rates for the experimental group specified in like form as eta; if NULL, this is set equal to eta
NONCMPL	TBD
DROPIN	TBD
gamma	a scalar, vector or matrix of rates of entry by time period (rows) and strata (columns); if entered as a scalar, rate is constant accross strata and time periods; if entered as a vector, rates are constant accross strata
R	a scalar or vector of durations of time periods for recruitment rates specified in rows of gamma. Length is the same as number of rows in gamma. Note that when variable enrollment duration is specified (input T=NULL), the final enrollment period is extended as long as needed
S	a scalar or vector of durations of piecewise constant event rates specified in rows of lambda, eta and etaE; this is NULL if there is a single event rate per stratum (exponential failure) or length of the number of rows in lambda minus 1, otherwise
T	study duration; if T is input as NULL, this will be computed on output; see details.
minfup	follow-up of last patient enrolled; if minfup is input as NULL, this will be computed on output; see details
ratio	randomization ratio of experimental treatment divided by control; normally a scalar, but may be a vector with length equal to number of strata.
alpha	type I error rate. Default is 0.025 since 1-sided testing is default
beta	type II error rate. Default is 0.10 (90 NULL if power is to be computed based on other input values
sided	1 for 1-sided testing, 2 for 2-sided testing
tol	or cases when T or minfup values are derived through root finding (T or minfup input as NULL), tol provides the level of error input to the uniroot() root-finding function. The default is the same as for uniroot.
SBDV	This is a tuning parameter for the Lakatos method specifying how many intervals to use for the Markov approximation applied in the method
SIMULT	TBD
TRT_LAG	lag treatment
nstrata	TBD

Details

Details text

Examples

#no staggered entry, no lag time;
#no staggered entry, lag time;
#stagger entry, no lag time
#stagged entry; lag time;
#strata;

keaven/nphsim documentation built on May 24, 2020, 9:34 p.m.