ipdmeta (version 1.1)

coxmeta.initialize: Initialization for Mixed-Level Meta-Analysis Estimation

Description

Returns list of components for MLMA estimation.

Usage

coxmeta.initialize(
   ipd.formula,
   meta.formula,
   random.formula,
   ipd.data,
   meta.data,
   ipd.groups,
   meta.groups,
   sigma2,
   study.group.interaction,
   beta.index
)

Arguments

ipd.formula

Formula for patient-level Cox model as would be supplied to coxph, Surv(time,event)~trt*x

meta.formula

Formula for study-level data surv~log(time)+trt*x

ipd.data

Patient-level data frame

meta.data

Study-level data frame containing survival estimates by study and treatment group

ipd.groups

Scalar number of clusters of patient-level type

meta.groups

Scalar number of clusters of study-level type

sigma2

Estimates variances for aggregate survival estimates of meta.data

study.group.interaction

Factor that is the study and treatment group interaction for meta.data

beta.index

List return object of beta.indices

Value

• List of model and params. The components of model are the output of coxmeta.data.objects, which consists of cox (IPD) and surv (Study) components. These are lists having formula, data, random design matrix and group information.

  The params are return list of paramter.initialization. This also has the features of the T proposal density for the start of the algorithm (location, scale, degrees of freedom) by each evidence type.

Details

Dependent function paramter.initialize makes use of coxmcem.mixed.initialize to get starting values for the frailty location and variance parameters.

See Also

beta.indices