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Heterogeneity in multistage carcinogenesis and mixture modeling.

Gsteiger S, Morgenthaler S.

Theor Biol Med Model. 2008 Jul 21;5:13.PMID: 18644142 [PubMed - indexed for MEDLINE]Related articlesFree article

Estimating age, period and cohort effects using the multistage model for cancer.

Holford TR, Zhang Z, McKay LA.

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Hazelton WD, Clements MS, Moolgavkar SH.

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Multistage models of carcinogenesis: an approximation for the size and number distribution of late-stage clones.

Sherman CD, Portier CJ, Kopp-Schneider A.

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Symmetry, identifiability, and prediction uncertainties in multistage clonal expansion (MSCE) models of carcinogenesis.

Cox LA Jr, Huber WA.

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Update of potency factors for asbestos-related lung cancer and mesothelioma.

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An exact analysis of the multistage model explaining dose-response concavity.

Cox LA Jr.

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Multistage carcinogenesis and the fraction at risk.

Morgenthaler S, Herrero P, Thilly WG.

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On the exact hazard and survival functions of the MVK stochastic carcinogenesis model.

Zheng Q.

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Incorporation of inter-individual heterogeneity into the multistage carcinogenesis model: approach to the analysis of cancer incidence data.

Izumi S, Ohtaki M.

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Cigarette smoking and lung cancer: a reconsideration of the British doctors' data with cumulative damage models.

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The Armitage-Doll multistage model of carcinogenesis.

Day NE.

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Cure fraction estimation from the mixture cure models for grouped survival data.

Yu B, Tiwari RC, Cronin KA, Feuer EJ.

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Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events.

Rondeau V, Mathoulin-Pelissier S, Jacqmin-Gadda H, Brouste V, Soubeyran P.

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Comparing regression methods for the two-stage clonal expansion model of carcinogenesis.

Kaiser JC, Heidenreich WF.

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Modeling nonhomogeneous Markov processes via time transformation.

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Multistage models for carcinogenesis.

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A bivariate frailty model with a cure fraction for modeling familial correlations in diseases.

Wienke A, Lichtenstein P, Yashin AI.

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A prediction model for lung cancer diagnosis that integrates genomic and clinical features.

Beane J, Sebastiani P, Whitfield TH, Steiling K, Dumas YM, Lenburg ME, Spira A.

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