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MIICD (version 1.1)

ANDA.coxph: Multiple Imputation using Asymptotic Normal Data Augmentation scheme (ANDA) for Cox proportional hazards model

Description

For internal uses

Usage

ANDA.coxph(formula, data , imax = 25 , k = 10 , th0 = 1e-03 )

Arguments

formula
a formula
data
a data frame
imax
maximum number of iteration
k
number of dataset generated at each iteration
th0
note used currently

Value

  • betaestimation of the coefficient(s)
  • sr_sigmaestimation of the standard errors
  • n_iternumber of iteration used
  • sigma1mean of standard errors not augmented for the between imputations composant of the variance

Details

This function is called by MIICD.coxph with option ANDA (Asymptotic Normal Data Augmentation)

References

Pan, W. (2000). A multiple imputation approach to cox regression with interval-censored data. Biometrics 56, 199-203.

Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys.

Schenker, N. and Welsh, A. (1988). Asymptotic results for multiple imputation. The Annals of Statistics pages 1550-1566.

Tanner, M. A. and Wong, W. H. (1987). An application of imputation to an estimation problem in grouped lifetime analysis. Technometrics 29, 23-32.

See Also

coxph