Estimating net survival: the importance of allowing for informative censoring. (Q53094822)

11 May 2018

title

Estimating net survival: the importance of allowing for informative censoring. (English)

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author

Aurélien Belot

5

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Laurent Remontet

2

object named as

Laurent Remontet

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author name string

Coraline Danieli

1

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Nadine Bossard

3

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Laurent Roche

4

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language of work or name

English

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publication date

26 January 2012

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11 May 2018

published in

Statistics in Medicine

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volume

31

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issue

8

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page(s)

775-786

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Inadequacy of death certification: proposal for change

cites work

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Simple parametric and nonparametric models for excess and relative mortality.

21 January 2018

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Relative survival and the estimation of net survival: elements for further discussion.

21 January 2018

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A relative survival regression model using B-spline functions to model non-proportional hazards

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Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects.

21 January 2018

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An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies.

21 January 2018

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Flexible parametric models for relative survival, with application in coronary heart disease.

21 January 2018

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An approach to estimation in relative survival regression.

21 January 2018

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Cancer survival corrected for heterogeneity in patient withdrawal.

21 January 2018

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Dynamic regression hazards models for relative survival

21 January 2018

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Joint estimation of time-dependent and non-linear effects of continuous covariates on survival.

21 January 2018

1 reference

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

21 January 2018

1 reference

Survival of cancer patients in France: A population-based study from The Association of the French Cancer Registries (FRANCIM)

21 January 2018

1 reference

Comparison of Cox's and relative survival models when estimating the effects of prognostic factors on disease-specific mortality: a simulation study under proportional excess hazards

21 January 2018

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21 January 2018

Identifiers

DOI

10.1002/SIM.4464

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11 May 2018

PubMed ID

22281942

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11 May 2018