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survival analysis 4 relative survival 2 stpm2 2 cause-specific hazard 1 competing risks 1 cumulative incidence 1 cure models 1 flexible parametric models 1 flexible parametric survival model 1 illdprep 1 multistate models 1 stpm2 postestimation 1 stpm2cif 1 stpm2illd 1 time-dependent effects 1
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Undetermined 3 Free 1
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Article 4
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Undetermined 4
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Lambert, Paul C. 4 Hinchliffe, Sally R. 2 Andersson, Therese M.-L. 1 Royston, Patrick 1 Scott, David A. 1
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Stata Journal 4
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RePEc 4
Showing 1 - 4 of 4
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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
updated the stpm2 command for flexible parametric models to enable cure modeling. …
Persistent link: https://www.econbiz.de/10011002429
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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
introduce a new command, stpm2, that extends the methodology. New features for stpm2 include improvement in the way time …
Persistent link: https://www.econbiz.de/10004982802
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Flexible parametric illness-death models
Hinchliffe, Sally R.; Scott, David A.; Lambert, Paul C. - In: Stata Journal 13 (2013) 4, pp. 759-775
. Here we consider one of the simplest multistate models, the illness-death model. stpm2illd is a postestimation command used … after fitting a flexible parametric survival model with stpm2 to estimate the probability of being in each of four states as …
Persistent link: https://www.econbiz.de/10011002435
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Extending the flexible parametric survival model for competing risks
Hinchliffe, Sally R.; Lambert, Paul C. - In: Stata Journal 13 (2013) 2, pp. 344-355
this type is the cumulative incidence function. stpm2cif is a postestimation command used to generate predictions of the … cumulative incidence function after fitting a flexible parametric survival model using stpm2. There is also the option to …
Persistent link: https://www.econbiz.de/10010680822
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