Forecasting annual lung and bronchus cancer deaths using individual survival times
Year of publication: |
January-March 2016
|
---|---|
Authors: | Jun, Duk Bin ; Kim, Kyunghoon ; Park, Myoung Hwan |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 32.2016, 1, p. 168-179
|
Subject: | Health forecasting | Cancer | Survival analysis | Weibull mixture model | Unobserved heterogeneity | Krebskrankheit | Prognoseverfahren | Forecasting model | Sterblichkeit | Mortality | Statistische Bestandsanalyse | Duration analysis | Gesundheit | Health | Statistische Verteilung | Statistical distribution |
-
A study of a survival data using kernel estimates of hazard rate and aging intensity functions
Szymkowiak, Magdalena, (2023)
-
Survival Analysis of Lung and Bronchus Cancer Patients Segmented by Demographic Characteristics
Jun, Duk Bin, (2014)
-
Forecasting causes of death using compositional data analysis : the case of cancer deaths
Kjærgaard, Søren, (2019)
- More ...
-
Jun, Duk Bin, (2012)
-
Parameter Space Restrictions in State Space Models
Jun, Duk Bin, (2012)
-
Classification, relationships and forecasting models for telecommunication services
Jun, Duk Bin, (1997)
- More ...