melanoma

The melanoma data frame has 205 rows and 7 columns. It contains data
relating to survival of patients after operation for malignant melanoma
collected at Odense University Hospital by K.T. Drzewiecki.

package

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

melanoma function

This data frame contains the following columns:<dl>
<dt>no</dt>
<dd>a numeric vector. Patient code.</dd>
 <dt>status</dt>
<dd>a numeric vector
code. Survival status. 1: dead from melanoma, 2: alive, 3: dead from other
cause.</dd>
 <dt>days</dt>
<dd>a numeric vector. Survival time.</dd>
 <dt>ulc</dt>
<dd>a
numeric vector code. Ulceration, 1: present, 0: absent.</dd>
 <dt>thick</dt>
<dd>a
numeric vector. Tumour thickness (1/100 mm).</dd>
 <dt>sex</dt>
<dd>a numeric vector
code. 0: female, 1: male.</dd>
 
</dl>

melanoma: The Melanoma Survival Data

Description

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Format

Examples