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Journal ArticleDOI

On estimation in relative survival.

Maja Pohar Perme, +2 more
- 01 Mar 2012 - 
- Vol. 68, Iss: 1, pp 113-120
TLDR
This article proposes a new estimator of net survival probability that enables the desired comparability between countries and requires no modeling and is accompanied with a straightforward variance estimate.
Abstract
Estimation of relative survival has become the first and the most basic step when reporting cancer survival statistics. Standard estimators are in routine use by all cancer registries. However, it has been recently noted that these estimators do not provide information on cancer mortality that is independent of the national general population mortality. Thus they are not suitable for comparison between countries. Furthermore, the commonly used interpretation of the relative survival curve is vague and misleading. The present article attempts to remedy these basic problems. The population quantities of the traditional estimators are carefully described and their interpretation discussed. We then propose a new estimator of net survival probability that enables the desired comparability between countries. The new estimator requires no modeling and is accompanied with a straightforward variance estimate. The methods are described on real as well as simulated data.

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Citations
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Journal ArticleDOI

Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries.

Claudia Allemani, +594 more
- 17 Mar 2018 - 
TL;DR: For most cancers, 5-year net survival remains among the highest in the world in the USA and Canada, in Australia and New Zealand, and in Finland, Iceland, Norway, and Sweden, while for many cancers, Denmark is closing the survival gap with the other Nordic countries.
Journal ArticleDOI

Progress in cancer survival, mortality, and incidence in seven high-income countries 1995–2014 (ICBP SURVMARK-2): a population-based study

TL;DR: Progress in cancer control over the study period was evident for stomach, colon, lung (in males), and ovarian cancer, and the impact of comorbidity are likely the main determinants of patient outcomes.
Journal ArticleDOI

40-year trends in an index of survival for all cancers combined and survival adjusted for age and sex for each cancer in England and Wales, 1971–2011: a population-based study

TL;DR: The overall index of net survival increased substantially during the 40-year period 1971-2011, both in England and in Wales, and substantial increases in both short-term and long-term net survival from all cancers combined in both England and Wales are supported.
Journal ArticleDOI

Estimating and Modeling Relative Survival

TL;DR: In this article, a command, strs, for life-table estimation of relative survival is proposed. But strs cannot be used to estimate the full-likelihood of a patient's death due to cancer.
Journal ArticleDOI

Stomach cancer survival in the United States by race and stage (2001-2009): Findings from the CONCORD-2 study.

TL;DR: Overall, cervical cancer survival in the United States has been reported to be among the highest in the world, despite slight decreases over the last decade, according to official statistics.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.

Regression models and life tables (with discussion

David Cox
TL;DR: The drum mallets disclosed in this article are adjustable, by the percussion player, as to balance, overall weight, head characteristics and tone production of the mallet, whereby the adjustment can be readily obtained.
Journal ArticleDOI

Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects.

TL;DR: Extensions of the Weibull and log-logistic models are proposed in which natural cubic splines are used to smooth the baseline log cumulative hazard and log cumulative odds of failure functions and a hypothesis test of the appropriateness of the scale chosen for covariate effects (such as of treatment) is proposed.
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