A new cure model that corrects for increased risk of non-cancer death: analysis of reliability and robustness, and application to real-life data

[1]  S. Franceschi,et al.  Cancer cure for 32 cancer types: results from the EUROCARE-5 study. , 2020, International journal of epidemiology.

[2]  R. Giorgi,et al.  Correcting inaccurate background mortality in excess hazard models through breakpoints , 2020, BMC Medical Research Methodology.

[3]  S. Duffy,et al.  Errors in determination of net survival: cause-specific and relative survival settings , 2020, British Journal of Cancer.

[4]  R. Giorgi,et al.  More accurate cancer-related excess mortality through correcting background mortality for extra variables , 2020, Statistical methods in medical research.

[5]  V. Jooste,et al.  Time-to-cure and cure proportion in solid cancers in France. A population based study. , 2019, Cancer epidemiology.

[6]  R. Giorgi,et al.  Correcting for misclassification and selection effects in estimating net survival in clinical trials , 2019, BMC Medical Research Methodology.

[7]  B. Rachet,et al.  On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables. , 2019, Biostatistics.

[8]  G. Gatta,et al.  Excess risk of dying of other causes of cured cancer patients , 2019, Tumori.

[9]  Nadia Howlader,et al.  Can We Use Survival Data from Cancer Registries to Learn about Disease Recurrence? The Case of Breast Cancer , 2018, Cancer Epidemiology, Biomarkers & Prevention.

[10]  G. Vassal,et al.  The right to be forgotten: a change in access to insurance and loans after childhood cancer? , 2017, Journal of Cancer Survivorship.

[11]  B. Rachet,et al.  Analysing population-based cancer survival – settling the controversies , 2016, BMC Cancer.

[12]  P. Douglas,et al.  Cardiovascular Disease Among Survivors of Adult-Onset Cancer: A Community-Based Retrospective Cohort Study. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[13]  G. Gatta,et al.  Life expectancy of colon, breast, and testicular cancer patients: an analysis of US-SEER population-based data. , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.

[14]  T. Hakulinen,et al.  Choosing the net survival method for cancer survival estimation. , 2015, European Journal of Cancer.

[15]  J. Olsen,et al.  Cardiovascular disease in survivors of adolescent and young adult cancer: a Danish cohort study, 1943-2009. , 2014, Journal of the National Cancer Institute.

[16]  M. Coleman,et al.  The impact of life tables adjusted for smoking on the socio-economic difference in net survival for laryngeal and lung cancer , 2014, British Journal of Cancer.

[17]  P. Lambert,et al.  Estimating the proportion cured of cancer: some practical advice for users. , 2013, Cancer epidemiology.

[18]  P. Lambert,et al.  Estimating net survival in population‐based cancer studies , 2013, International journal of cancer.

[19]  Coraline Danieli,et al.  Cancer net survival on registry data: Use of the new unbiased Pohar‐Perme estimator and magnitude of the bias with the classical methods , 2013, International journal of cancer.

[20]  F. Bray,et al.  Proportion cured models applied to 23 cancer sites in Norway , 2013, International journal of cancer.

[21]  P C Lambert,et al.  Should relative survival be used with lung cancer data? , 2012, British Journal of Cancer.

[22]  Paul W Dickman,et al.  Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models , 2011, BMC medical research methodology.

[23]  J. Starý,et al.  [Long term survivors of childhood cancer: cure and care. The ERICE statement]. , 2009, Klinicka onkologie : casopis Ceske a Slovenske onkologicke spolecnosti.

[24]  A. Veerman,et al.  Long term survivors of childhood cancer: cure and care. The Erice statement. , 2007, European journal of cancer.

[25]  Paul W Dickman,et al.  Estimating and modeling the cure fraction in population-based cancer survival analysis. , 2007, Biostatistics.

[26]  N. Aziz.  Cancer survivorship research: State of knowledge, challenges and opportunities , 2007, Acta oncologica.

[27]  Paul W Dickman,et al.  Regression models for relative survival , 2004, Statistics in medicine.

[28]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[29]  Mary L McBride,et al.  Estimating cancer prevalence using mixture models for cancer survival , 2002, Statistics in medicine.

[30]  F. Berrino,et al.  The cure for colon cancer: Results from the EUROCARE study , 1998, International journal of cancer.

[31]  G. S. Mudholkar,et al.  A Generalization of the Weibull Distribution with Application to the Analysis of Survival Data , 1996 .

[32]  J. Estève,et al.  Relative survival and the estimation of net survival: elements for further discussion. , 1990, Statistics in medicine.

[33]  T. Hakulinen.  On long-term relative survival rates. , 1977, Journal of chronic diseases.

[34]  F. Ederer,et al.  The relative survival rate: a statistical methodology. , 1961, National Cancer Institute monograph.

[35]  J. Boag,et al.  Maximum Likelihood Estimates of the Proportion of Patients Cured by Cancer Therapy , 1949 .