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  • Search: subject:"relative survival"
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relative survival 7 net survival 3 survival analysis 3 cancer survival 2 cure models 2 life table 2 period analysis 2 stpm2 2 Poisson regression 1 age standardization 1 background mortality 1 competing risks 1 excess hazard 1 excess mortality 1 flexible parametric survival model 1 postestimation 1 predict 1 split population models 1 stnet 1 stns 1 stpm2 postestimation 1 strel2 1 strs 1 strsmix 1 strsnmix 1 time-dependent effects 1
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Article 7
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Lambert, Paul C. 3 Coviello, Enzo 2 Dickman, Paul W. 2 Andersson, Therese M.-L. 1 Clerc-Urmes, Isabelle 1 Falcaro, Milena 1 Grzebyk, Michel 1 Hedelin, Guy 1 Hills, Michael 1 Pokhrel, Arun 1 Rachet, Bernard 1 Royston, Patrick 1 Seppa, Karri 1
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Stata Journal 7
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RePEc 7
Showing 1 - 7 of 7
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Further development of flexible parametric models for survival analysis
Lambert, Paul C.; Royston, Patrick - In: Stata Journal 9 (2009) 2, pp. 265-290
mortality and thus fit relative survival models; and a superior predict command that enables simple quantification of …
Persistent link: https://www.econbiz.de/10004982802
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Estimating and modeling relative survival
Dickman, Paul W.; Coviello, Enzo - In: Stata Journal 15 (2015) 1, pp. 186-215
net survival in a relative-survival framework. Net survival can be estimated using the relative-survival ratio, which is … estimating relative survival. We also implement a life-table version of the Pohar Perme (2012, Biometrics 68: 113–120) estimator … comparable group from the general population. In this article, we describe a command, strs, for life-table estimation of relative …
Persistent link: https://www.econbiz.de/10011265700
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Estimating net survival using a life-table approach
Coviello, Enzo; Dickman, Paul W.; Seppa, Karri; … - In: Stata Journal 15 (2015) 1, pp. 173-185
estimator of NS based on inverse probability weighting. They demonstrated that existing estimators of NS based on relative … survival were biased, whereas the new estimator was unbiased. The new estimator was developed for continuous survival times …
Persistent link: https://www.econbiz.de/10011265701
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Net survival estimation with stns
Clerc-Urmes, Isabelle; Grzebyk, Michel; Hedelin, Guy - In: Stata Journal 14 (2014) 1, pp. 87-102
In this article, we introduce a new Stata command to estimate the net survival function and the net cumulative hazard. The command includes graphic facilities. It was designed to have a similar syntax to sts, the Stata command dedicated to estimate survival and related functions. We present two...
Persistent link: https://www.econbiz.de/10010756291
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strel2: A command for estimating excess hazard and relative survival in large population-based studies
Hills, Michael; Rachet, Bernard; Falcaro, Milena - In: Stata Journal 14 (2014) 1, pp. 176-190
In this article, we describe strel2, a Stata command for the estimation of excess hazard and relative survival in large … quantities of interest. Although alternative and more powerful commands for relative survival exist, strel2 is a simple tool that …
Persistent link: https://www.econbiz.de/10010756293
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Modeling of the cure fraction in survival studies
Lambert, Paul C. - In: Stata Journal 7 (2007) 3, pp. 351-375
incorporation of the expected background mortality rate and thus enable the modeling of relative survival when cure is a possibility …
Persistent link: https://www.econbiz.de/10005568880
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Fitting and modeling cure in population-based cancer studies within the framework of flexible parametric survival models
Andersson, Therese M.-L.; Lambert, Paul C. - In: Stata Journal 12 (2012) 4, pp. 623-638
When the mortality among a cancer patient group returns to the same level as in the general population, that is, when the patients no longer experi- ence excess mortality, the patients still alive are considered “statistically cured”. Cure models can be used to estimate the cure proportion...
Persistent link: https://www.econbiz.de/10011002429
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