Incorporating frailty in a multi-state model

Application to disease natural history modelling of adenoma-carcinoma in the large bowel

Amy M F Yen, Tony H H Chen, Stephen W. Duffy, Chih Dao Chen

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Homogeneous multi-state models of disease progression have been widely used for designing and evaluating cancer screening programs. However, in screening for premalignant conditions of the cervix or large bowel, it is unlikely that all premalignant lesions have the same underlying propensity for progression. Incorporating frailty into multi-state models raises practical difficulties as it precludes the derivation of finite transition probabilities by matrix solution of the Kolmogorov equations. We address this problem by formulating a heterogeneous process as a series of homogeneous processes linked by transitions which are subject to heterogeneity (frailty). Continuous frailty and discrete mover-stayer models were developed. We applied these to the example of progression of adenoma to colorectal cancer in a three-state model and to a five-state model including consideration of adenoma size. Results were compared with those of purely homogeneous models in a previous study in terms of cumulative risk of malignant transformation from adenoma to invasive colorectal cancer.

Original languageEnglish
Pages (from-to)529-546
Number of pages18
JournalStatistical Methods in Medical Research
Volume19
Issue number5
DOIs
Publication statusPublished - Oct 2010
Externally publishedYes

Fingerprint

Multi-state Model
Frailty
Natural History
Adenoma
Colorectal Neoplasms
Progression
Carcinoma
Colorectal Cancer
Early Detection of Cancer
Modeling
Cervix Uteri
Screening
Disease Progression
Adenocarcinoma
Kolmogorov Equation
Transition Probability
Model
Cancer
Series
History

ASJC Scopus subject areas

  • Epidemiology
  • Health Information Management
  • Statistics and Probability

Cite this

Incorporating frailty in a multi-state model : Application to disease natural history modelling of adenoma-carcinoma in the large bowel. / Yen, Amy M F; Chen, Tony H H; Duffy, Stephen W.; Chen, Chih Dao.

In: Statistical Methods in Medical Research, Vol. 19, No. 5, 10.2010, p. 529-546.

Research output: Contribution to journalArticle

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