Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data.

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Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Describing the association bet ...... on with population-based data.

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Describing the association bet ...... on with population-based data.

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label

Describing the association bet ...... on with population-based data.

@en

Describing the association bet ...... on with population-based data.

@nl

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Describing the association bet ...... on with population-based data.

@en

Describing the association bet ...... on with population-based data.

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P1476

Describing the association bet ...... on with population-based data.

@en

P2093

Anne-Valérie Guizard

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Guy Launoy

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Hadrien Charvat

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Laurent Remontet

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Laurent Roche

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Nadine Bossard

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Olivier Dejardin

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Simona Bara

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P2860

Cancer net survival on registry data: use of the new unbiased Pohar-Perme estimator and magnitude of the bias with the classical methods.

Getting more out of survival data by using the hazard function.

Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2).

Changes in dynamics of excess mortality rates and net survival after diagnosis of follicular lymphoma or diffuse large B-cell lymphoma: comparison between European population-based data (EUROCARE-5).

Quantifying intraclass correlations for count and time-to-event data.

A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates.

A new proposal for multivariable modelling of time-varying effects in survival data based on fractional polynomial time-transformation.

Socio-economic disparities in long-term cancer survival-10 year follow-up with individual patient data.

The association of cancer survival with four socioeconomic indicators: a longitudinal study of the older population of England and Wales 1981-2000

Multilevel analysis in public health research.

P304

561-573

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scholarly article

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10.2147/CLEP.S150848

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English

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Bernard Rachet

Aurélien Belot

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2018-05-17T00:00:00Z

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29844706

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P921

socioeconomics

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5961638

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