mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect
We present mexhaz, an R package for fitting flexible hazard-based regression models with the possibility to add time-dependent effects of covariates and to account for a twolevel hierarchical structure in the data through the inclusion of a normally distributed random intercept (i.e., a log-normally...
Main Authors: | Hadrien Charvat, Aurélien Belot |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2021-07-01
|
Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/3342 |
Similar Items
-
Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology
by: Camille Maringe, et al.
Published: (2019-11-01) -
Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey
by: Eric Delattre, et al.
Published: (2019-01-01) -
Estimation of excess hazard using compound Poisson frailty model
by: Mahmood Sheikh-Fathollahi, et al.
Published: (2015-10-01) -
A generalized linear mixed model for understanding determinant factors of student's interest in pursuing bachelor's degree at Universitas Syiah Kuala
by: ASEP RUSYANA, et al.
Published: (2021-06-01) -
Heteroskedasticity in One-Way Error Component Probit Models
by: Richard Kouamé Moussa
Published: (2019-08-01)