An empirical comparison of methods for predicting net survival
Tài liệu tham khảo
De Angelis, 2014, Cancer survival in Europe 19992007 by country and age: results of EUROCARE5-a population-based study, Lancet Oncol., 15, 23, 10.1016/S1470-2045(13)70546-1
Coleman, 2011, Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995-2007 (the International Cancer Benchmarking Partnership): an analysis of population-based cancer registry data, Lancet, 377, 127, 10.1016/S0140-6736(10)62231-3
Jemal, 2004, Annual report to the nation on the status of cancer, 19752001, with a special feature regarding survival, Cancer, 101, 3, 10.1002/cncr.20288
Storm, 2010, Trends in the overall survival of cancer patients diagnosed 19642003 in the Nordic countries followed up to the end of 2006: the importance of case-mix, Acta Oncol., 49, 713, 10.3109/0284186X.2010.484426
Perme, 2012, On estimation in relative survival, Biometrics, 68, 113, 10.1111/j.1541-0420.2011.01640.x
Brenner, 1996, An alternative approach to monitoring cancer patient survival, Cancer, 78, 2004, 10.1002/(SICI)1097-0142(19961101)78:9<2004::AID-CNCR23>3.0.CO;2-#
Brenner, 2004, Hybrid analysis for up-to-date long-term survival rates in cancer registries with delayed recording of incident cases, Eur. J. Cancer, 40, 2494, 10.1016/j.ejca.2004.07.022
Brenner, 2002, Up-to-date long-term survival curves of patients with cancer by period analysis, J. Clin. Oncol., 20, 826, 10.1200/JCO.2002.20.3.826
Brenner, 2004, Period analysis for up-to-date' cancer survival data: theory, empirical evaluation, computational realisation and applications, Eur. J. Cancer, 40, 326, 10.1016/j.ejca.2003.10.013
Talbäck, 2012, Predicting the survival of cancer patients recently diagnosed in Sweden and an evaluation of predictions published in 2004, Acta Oncol., 51, 17, 10.3109/0284186X.2011.626444
Brenner, 2006, Up-to-date estimates of cancer patient survival even with common latency in cancer registration, Cancer Epidemiol. Biomarkers Prev., 15, 1727, 10.1158/1055-9965.EPI-06-0167
Gondos, 2009, Model-based projections for deriving up-to-date cancer survival estimates: an international evaluation, Int. J. Cancer, 125, 2666, 10.1002/ijc.24614
Dickman, 2015, Estimating and modeling relative survival, Stata J., 15, 186, 10.1177/1536867X1501500112
Lambert, 2009, Further development of flexible parametric models for survival analysis, Stata J., 9, 265, 10.1177/1536867X0900900206
Royston, 2002, Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects, Stat. Med., 21, 2175, 10.1002/sim.1203
Lambert, 2015, Comparison of different approaches to estimating age standardized net survival, BMC Med. Res. Methodol., 15, 1, 10.1186/s12874-015-0057-3
