Description Usage Arguments Details Value Author(s) References See Also Examples
Uses the multiple imputation approach to compute the regression coefficient and its associated variance-covariance matrix, and the baseline survival estimates of a Cox proportional hazards regression for interval censorded data
1 2 | MIICD.coxph(formula, k, m, data, method = c("PMDA", "ANDA"),
verbose = FALSE)
|
formula |
A formula. The right hand side indicates names of covariables to be found in |
method |
Which data augmentation scheme shall be used ? Two algorithms are implemented : The Poor man's Data Augmentation scheme and the Asymptotic Normal Data Augmentation scheme (the later may be preferred). |
verbose |
Logical, display the results ? |
k |
An integer, indicates the number of iteration to perform |
m |
An integer, indicates the number of imputation to perform at each iteration |
data |
The input data (see details) |
This function uses multiple imputation approach to estimate regression coefficient, its variance-covvariance matrix, and baseline survival estimates for a Cox proportional hazards regression for interval censorded data.
Estimates are computed using Rubin's rules (Rubin (1987)). Estimate of coefficient is computed as the mean of estimates over imputation. #' The variance-covariance matrix is computed as the within imputation variance and the between imputation variance augmented by an inflation factor to take into account the finite number of imputation. At each iteration, the baseline survival function is updated and multiple imputation is performed using updated estimates.
Print and plot methods are available to handle results.
The data
must contain at last two columns: left
and right
. For interval censored data, the left
and the
right
columns indicates lower and upper bounds of intervals respectively. Inf
in the right column stands
for right censored observations.
est
A data frame with estimates
Marc Delord
Delord, M. & Genin, E. Multiple Imputation for Competing Risks Regression with Interval Censored Data Journal of Statistical Computation and Simulation, 2015
PAN, Wei. A Multiple Imputation Approach to Cox Regression with Interval-Censored Data. Biometrics, 2000, vol. 56, no 1, p. 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.
Wei, G. C., & Tanner, M. A. (1991). Applications of multiple imputation to the analysis of censored regression data. Biometrics, 47(4), 1297-1309.
Surv, survfit, coxph, mvrnorm
1 2 3 4 5 |
Iterates
.
.
..
.
.
..
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.