144 related articles for article (PubMed ID: 20213719)
1. Estimating the crude probability of death due to cancer and other causes using relative survival models.
Lambert PC; Dickman PW; Nelson CP; Royston P
Stat Med; 2010 Mar; 29(7-8):885-95. PubMed ID: 20213719
[TBL] [Abstract][Full Text] [Related]
2. Cumulative cause-specific mortality for cancer patients in the presence of other causes: a crude analogue of relative survival.
Cronin KA; Feuer EJ
Stat Med; 2000 Jul; 19(13):1729-40. PubMed ID: 10861774
[TBL] [Abstract][Full Text] [Related]
3. Probabilities of dying from cancer and other causes in French cancer patients based on an unbiased estimator of net survival: a study of five common cancers.
Charvat H; Bossard N; Daubisse L; Binder F; Belot A; Remontet L
Cancer Epidemiol; 2013 Dec; 37(6):857-63. PubMed ID: 24063904
[TBL] [Abstract][Full Text] [Related]
4. Flexible parametric models for relative survival, with application in coronary heart disease.
Nelson CP; Lambert PC; Squire IB; Jones DR
Stat Med; 2007 Dec; 26(30):5486-98. PubMed ID: 17893893
[TBL] [Abstract][Full Text] [Related]
5. Different survival analysis methods for measuring long-term outcomes of Indigenous and non-Indigenous Australian cancer patients in the presence and absence of competing risks.
He VY; Condon JR; Baade PD; Zhang X; Zhao Y
Popul Health Metr; 2017 Jan; 15(1):1. PubMed ID: 28095862
[TBL] [Abstract][Full Text] [Related]
6. Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects.
Lambert PC; Smith LK; Jones DR; Botha JL
Stat Med; 2005 Dec; 24(24):3871-85. PubMed ID: 16320260
[TBL] [Abstract][Full Text] [Related]
7. Partitioning of excess mortality in population-based cancer patient survival studies using flexible parametric survival models.
Eloranta S; Lambert PC; Andersson TM; Czene K; Hall P; Björkholm M; Dickman PW
BMC Med Res Methodol; 2012 Jun; 12():86. PubMed ID: 22726307
[TBL] [Abstract][Full Text] [Related]
8. Comparison of Cox's and relative survival models when estimating the effects of prognostic factors on disease-specific mortality: a simulation study under proportional excess hazards.
Le Teuff G; Abrahamowicz M; Bolard P; Quantin C
Stat Med; 2005 Dec; 24(24):3887-909. PubMed ID: 16320267
[TBL] [Abstract][Full Text] [Related]
9. Quantifying differences in breast cancer survival between England and Norway.
Lambert PC; Holmberg L; Sandin F; Bray F; Linklater KM; Purushotham A; Robinson D; Møller H
Cancer Epidemiol; 2011 Dec; 35(6):526-33. PubMed ID: 21606014
[TBL] [Abstract][Full Text] [Related]
10. Temporal trends in net and crude probability of death from cancer and other causes in the Australian population, 1984-2013.
Dasgupta P; Cramb S; Kou K; Yu XQ; Baade PD
Cancer Epidemiol; 2019 Oct; 62():101568. PubMed ID: 31330423
[TBL] [Abstract][Full Text] [Related]
11. Estimating and modeling the cure fraction in population-based cancer survival analysis.
Lambert PC; Thompson JR; Weston CL; Dickman PW
Biostatistics; 2007 Jul; 8(3):576-94. PubMed ID: 17021277
[TBL] [Abstract][Full Text] [Related]
12. Flexible modeling of the effects of continuous prognostic factors in relative survival.
Mahboubi A; Abrahamowicz M; Giorgi R; Binquet C; Bonithon-Kopp C; Quantin C
Stat Med; 2011 May; 30(12):1351-65. PubMed ID: 21432891
[TBL] [Abstract][Full Text] [Related]
13. Mortality among immigrants in England and Wales by major causes of death, 1971-2012: A longitudinal analysis of register-based data.
Wallace M; Kulu H
Soc Sci Med; 2015 Dec; 147():209-21. PubMed ID: 26595089
[TBL] [Abstract][Full Text] [Related]
14. Estimating relative survival among people registered with cancer in England and Wales.
Reeves GK; Beral V; Bull D; Quinn M
Br J Cancer; 1999 Jan; 79(1):18-22. PubMed ID: 10408687
[TBL] [Abstract][Full Text] [Related]
15. Adjusting for the proportion of cancer deaths in the general population when using relative survival: a sensitivity analysis.
Hinchliffe SR; Dickman PW; Lambert PC
Cancer Epidemiol; 2012 Apr; 36(2):148-52. PubMed ID: 22000329
[TBL] [Abstract][Full Text] [Related]
16. Overestimation of prostate cancer mortality and other-cause mortality by the Kaplan-Meier method.
Zhu X; Kranse R; Bul M; Bangma CH; Schröder FH; Roobol MJ
Can J Urol; 2013 Jun; 20(3):6756-60. PubMed ID: 23783043
[TBL] [Abstract][Full Text] [Related]
17. A joint frailty model to estimate the recurrence process and the disease-specific mortality process without needing the cause of death.
Belot A; Rondeau V; Remontet L; Giorgi R;
Stat Med; 2014 Aug; 33(18):3147-66. PubMed ID: 24639014
[TBL] [Abstract][Full Text] [Related]
18. Causes of mortality after dose-escalated radiation therapy and androgen deprivation for high-risk prostate cancer.
Tendulkar RD; Hunter GK; Reddy CA; Stephans KL; Ciezki JP; Abdel-Wahab M; Stephenson AJ; Klein EA; Mahadevan A; Kupelian PA
Int J Radiat Oncol Biol Phys; 2013 Sep; 87(1):94-9. PubMed ID: 23920389
[TBL] [Abstract][Full Text] [Related]
19. Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons.
Rutherford MJ; Andersson TM; Myklebust TÅ; Møller B; Lambert PC
BMC Med Res Methodol; 2022 Jan; 22(1):2. PubMed ID: 34991487
[TBL] [Abstract][Full Text] [Related]
20. Correcting for misclassification and selection effects in estimating net survival in clinical trials.
Goungounga JA; Touraine C; Grafféo N; Giorgi R;
BMC Med Res Methodol; 2019 May; 19(1):104. PubMed ID: 31096911
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]