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Results: 1 to 20 of 113

1.

The loss in expectation of life after colon cancer: a population-based study.

Andersson TM, Dickman PW, Eloranta S, Sjövall A, Lambe M, Lambert PC.

BMC Cancer. 2015 May 17;15(1):412. doi: 10.1186/s12885-015-1427-2.

2.

Family history and risk of pregnancy-associated breast cancer (PABC).

Johansson AL, Andersson TM, Hsieh CC, Cnattingius S, Dickman PW, Lambe M.

Breast Cancer Res Treat. 2015 May;151(1):209-17. doi: 10.1007/s10549-015-3369-4. Epub 2015 Apr 19.

PMID:
25893584
3.

The application of cure models in the presence of competing risks: a tool for improved risk communication in population-based cancer patient survival.

Eloranta S, Lambert PC, Andersson TM, Björkholm M, Dickman PW.

Epidemiology. 2014 Sep;25(5):742-8. doi: 10.1097/EDE.0000000000000130.

PMID:
25036430
4.

Estimating the cure proportion of malignant melanoma, an alternative approach to assess long term survival: a population-based study.

Andersson TM, Eriksson H, Hansson J, Månsson-Brahme E, Dickman PW, Eloranta S, Lambe M, Lambert PC.

Cancer Epidemiol. 2014 Feb;38(1):93-9. doi: 10.1016/j.canep.2013.12.006. Epub 2014 Jan 18.

PMID:
24447700
5.

Estimating the proportion cured of cancer: some practical advice for users.

Yu XQ, De Angelis R, Andersson TM, Lambert PC, O'Connell DL, Dickman PW.

Cancer Epidemiol. 2013 Dec;37(6):836-42. doi: 10.1016/j.canep.2013.08.014. Epub 2013 Sep 14.

PMID:
24042025
6.

Estimating the loss in expectation of life due to cancer using flexible parametric survival models.

Andersson TM, Dickman PW, Eloranta S, Lambe M, Lambert PC.

Stat Med. 2013 Dec 30;32(30):5286-300. doi: 10.1002/sim.5943. Epub 2013 Aug 23.

PMID:
24038155
7.

Temporal trends in mortality from diseases of the circulatory system after treatment for Hodgkin lymphoma: a population-based cohort study in Sweden (1973 to 2006).

Eloranta S, Lambert PC, Sjöberg J, Andersson TM, Björkholm M, Dickman PW.

J Clin Oncol. 2013 Apr 10;31(11):1435-41. doi: 10.1200/JCO.2012.45.2714. Epub 2013 Feb 25.

8.

Estimating net survival in population-based cancer studies.

Dickman PW, Lambert PC, Coviello E, Rutherford MJ.

Int J Cancer. 2013 Jul 15;133(2):519-21. doi: 10.1002/ijc.28041. Epub 2013 Feb 25. No abstract available.

PMID:
23338817
9.

How can we make cancer survival statistics more useful for patients and clinicians: an illustration using localized prostate cancer in Sweden.

Eloranta S, Adolfsson J, Lambert PC, Stattin P, Akre O, Andersson TM, Dickman PW.

Cancer Causes Control. 2013 Mar;24(3):505-15. doi: 10.1007/s10552-012-0141-5. Epub 2013 Jan 8.

PMID:
23296456
10.

Patterns of survival in lymphoplasmacytic lymphoma/Waldenström macroglobulinemia: a population-based study of 1,555 patients diagnosed in Sweden from 1980 to 2005.

Kristinsson SY, Eloranta S, Dickman PW, Andersson TM, Turesson I, Landgren O, Björkholm M.

Am J Hematol. 2013 Jan;88(1):60-5. doi: 10.1002/ajh.23351. Epub 2012 Nov 19.

PMID:
23165980
11.

Patterns of survival among patients with myeloproliferative neoplasms diagnosed in Sweden from 1973 to 2008: a population-based study.

Hultcrantz M, Kristinsson SY, Andersson TM, Landgren O, Eloranta S, Derolf AR, Dickman PW, Björkholm M.

J Clin Oncol. 2012 Aug 20;30(24):2995-3001. doi: 10.1200/JCO.2012.42.1925. Epub 2012 Jul 16.

12.

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 24;12:86. doi: 10.1186/1471-2288-12-86.

13.

Progress in Hodgkin lymphoma: a population-based study on patients diagnosed in Sweden from 1973-2009.

Sjöberg J, Halthur C, Kristinsson SY, Landgren O, Nygell UA, Dickman PW, Björkholm M.

Blood. 2012 Jan 26;119(4):990-6. doi: 10.1182/blood-2010-08-302604. Epub 2011 Dec 6.

14.

Predicting the survival of cancer patients recently diagnosed in Sweden and an evaluation of predictions published in 2004.

Talbäck M, Dickman PW.

Acta Oncol. 2012 Jan;51(1):17-27. doi: 10.3109/0284186X.2011.626444. Epub 2011 Oct 24.

PMID:
22023089
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. doi: 10.1016/j.canep.2011.09.007. Epub 2011 Oct 13.

PMID:
22000329
16.

Estimating expected survival probabilities for relative survival analysis--exploring the impact of including cancer patient mortality in the calculations.

Talbäck M, Dickman PW.

Eur J Cancer. 2011 Nov;47(17):2626-32. doi: 10.1016/j.ejca.2011.08.010. Epub 2011 Sep 15.

PMID:
21924892
17.

Comparison of methods for calculating relative survival in population-based studies.

Rutherford MJ, Dickman PW, Lambert PC.

Cancer Epidemiol. 2012 Feb;36(1):16-21. doi: 10.1016/j.canep.2011.05.010. Epub 2011 Aug 15.

PMID:
21840284
18.

Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models.

Andersson TM, Dickman PW, Eloranta S, Lambert PC.

BMC Med Res Methodol. 2011 Jun 22;11:96. doi: 10.1186/1471-2288-11-96.

19.

Success story of targeted therapy in chronic myeloid leukemia: a population-based study of patients diagnosed in Sweden from 1973 to 2008.

Björkholm M, Ohm L, Eloranta S, Derolf A, Hultcrantz M, Sjöberg J, Andersson T, Höglund M, Richter J, Landgren O, Kristinsson SY, Dickman PW.

J Clin Oncol. 2011 Jun 20;29(18):2514-20. doi: 10.1200/JCO.2011.34.7146. Epub 2011 May 16.

20.

Model selection in medical research: a simulation study comparing Bayesian model averaging and stepwise regression.

Genell A, Nemes S, Steineck G, Dickman PW.

BMC Med Res Methodol. 2010 Dec 6;10:108. doi: 10.1186/1471-2288-10-108.

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