Frailties in multi-state models: Are they identifiable? Do we need them? - Wikidata - wikimedia - TriplyDB

Frailties in multi-state models: Are they identifiable? Do we need them?

Frailties in multi-state models: Are they identifiable? Do we need them?

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Investigating hospital heterogeneity with a multi-state frailty model: application to nosocomial pneumonia disease in intensive care units Multistate models for comparing trends in hospitalizations among young adult survivors of colorectal cancer and matched controls.Multivariate frailty models for two types of recurrent events with a dependent terminal event: application to breast cancer data.Beyond Composite Endpoints Analysis: Semicompeting Risks as an Underutilized Framework for Cancer Research.Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer Score test for association between recurrent events and a terminal event.Boosting multi-state models.Testing independence between two sequential gap times in the presence of covariates.Joint modelling of goals and bookings in association football

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Frailties in multi-state models: Are they identifiable? Do we need them?

http://www.wikidata.org/entity/Q45155211

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2011 nî lūn-bûn

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2011年の論文

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年學術文章

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2011年學術文章

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name

Frailties in multi-state models: Are they identifiable? Do we need them?

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Frailties in multi-state models: Are they identifiable? Do we need them?

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Frailties in multi-state models: Are they identifiable? Do we need them?

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Frailties in multi-state models: Are they identifiable? Do we need them?

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Frailties in multi-state models: Are they identifiable? Do we need them?

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Frailties in multi-state models: Are they identifiable? Do we need them?

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Statistical Methods in Medical Research

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Frailties in multi-state models: Are they identifiable? Do we need them?

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Hans C van Houwelingen

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Predicting survival from microarray data--a comparative study.

Multi-state models for the analysis of time-to-event data.

Multi-state models for event history analysis.

Tutorial in biostatistics: competing risks and multi-state models.

Multi-state Markov models for analysing incomplete disease history data with illustrations for HIV disease.

Inference for outcome probabilities in multi-state models.

Improved survival after one course of perioperative chemotherapy in early breast cancer patients. long-term results from the European Organization for Research and Treatment of Cancer (EORTC) Trial 10854.

Incorporating frailty in a multi-state model: application to disease natural history modelling of adenoma-carcinoma in the large bowel.

Bayesian back-calculation using a multi-state model with application to HIV.

A random effects model for multistate survival analysis with application to bone marrow transplants.

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675-692

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10.1177/0962280211424665

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6

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