coef.bayesCox

Extract coefficient values from <code>bayesCox</code> fitting results, and
summarize the posterior mean, posterior 2.5% and 97.5% quantiles into a
data frame.

extract

bayesCox

coefficient

Time-varying coefficient models for interval censored and
right censored survival data including
1) Bayesian Cox model with time-independent, time-varying or
dynamic coefficients for right censored and interval censored data studied by
Sinha et al. (1999) <doi:10.1111/j.0006-341X.1999.00585.x> and
Wang et al. (2013) <doi:10.1007/s10985-013-9246-8>,
2) Spline based time-varying coefficient Cox model for right censored data
proposed by Perperoglou et al. (2006) <doi:10.1016/j.cmpb.2005.11.006>, and
3) Transformation model with time-varying coefficients for right censored data
using estimating equations proposed by
Peng and Huang (2007) <doi:10.1093/biomet/asm058>.

Wenjie Wang

dynsurv

Dynamic Models for Survival Data

Ming-Hui Chen

Xiaojing Wang

Jun Yan

coef.bayesCox function

<dl><dt>object</dt>
<dd>An object returned by function <code>bayesCox</code>.</dd>
<dt>...</dt>
<dd>Optional arguments. Currently, the only applicable arguemnt is
<code>level</code> for the credible level. The default value is 0.95.</dd></dl>

Arguments

Extract Coefficients from Bayesian Cox Model — coef.bayesCox

<dl>

<dt>object</dt>
<dd>An object returned by function <code>bayesCox</code>.</dd>


<dt>...</dt>
<dd>Optional arguments. Currently, the only applicable arguemnt is
<code>level</code> for the credible level. The default value is 0.95.</dd>

</dl>

coef.bayesCox: Extract Coefficients from Bayesian Cox Model

Description

Usage

Value

Arguments

See Also

Examples