coxphSLMADS: Performs survival analysis using the Cox proportional hazards...

In neelsoumya/dsSurvival: dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD

Performs survival analysis using the Cox proportional hazards model at the serverside environment.

Description

returns a summary of the Cox proportional hazards from the server side environment.

Usage

coxphSLMADS(
  formula = NULL,
  dataName = NULL,
  weights = NULL,
  init = NULL,
  ties = "efron",
  singular.ok = TRUE,
  model = FALSE,
  x = FALSE,
  y = TRUE,
  control = NULL
)

Arguments

formula	either NULL or a character string (potentially including '*' wildcards) specifying a formula.
dataName	character string of name of data frame
weights	vector of case weights
init	vector of initial values of the iteration
ties	character string specifying the method for tie handling. The Efron approximation is used as the default. Other options are 'breslow' and 'exact'.
singular.ok	Logical value indicating how to handle collinearity in the model matrix. Default is TRUE. If TRUE, the program will automatically skip over columns of the X matrix that are linear combinations of earlier columns. In this case the coefficients of such columns will be NA and the variance matrix will contain zeros.
model	logical value. If TRUE, the model frame is returned in component model.
x	logical value. If TRUE, the x matrix is returned in component x.
y	logical value. If TRUE, the response vector is returned in component y.
control	object of type survival::coxph.control() specifying iteration limit and other control options. Default is survival::coxph.control()

Details

Serverside aggregate function coxphSLMADS called by clientside function. ds.coxphSLMA. returns a summary of the Cox proportional hazards from the server side environment from the server side environment. This request is not disclosive as it only returns a string. For further details see help for ds.coxphSLMA function.

Value

a summary of the Cox proportional hazards from the server side environment from the server side environment.

Author(s)

Soumya Banerjee and Tom Bishop (2020).

neelsoumya/dsSurvival documentation built on July 1, 2023, 10:31 p.m.