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

[1] Dickman PW(2006)Interpreting trends in cancer patient survival J Intern Med 260 103-17

[2] Adami HO(1977)Estimating the expectation of life in cancer survival studies with incomplete follow-up information J Chronic Dis 30 585-97

[3] Hakama M(2013)Estimating the loss in expectation of life due to cancer using flexible parametric survival models Stat Med 32 5286-300

[4] Hakulinen T(2009)Further development of flexible parametric models for survival analysis Stata J 9 265-90

[5] Andersson T(2009)The completeness of the Swedish cancer register: a sample survey for year 1998 Acta Oncol 48 27-33

[6] Dickman P(2007)Flexible parametric models for relative survival, with application in coronary heart disease Stat Med 26 5486-98

[7] Eloranta S(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 2175-97

[8] Lambe M(1997)Deriving more up-to-date estimates of long-term patient survival J Clin Epidemiol 50 211-6

[9] Lambert P(1996)An alternative approach to monitoring cancer patient survival Cancer 78 2004-10

[10] Lambert PC(1992)Modeling and forecasting U.S. Mortality J Am Stat Assoc 87 659-71

[1] Dickman PW(2006)Interpreting trends in cancer patient survival J Intern Med 260 103-17

[2] Adami HO(1977)Estimating the expectation of life in cancer survival studies with incomplete follow-up information J Chronic Dis 30 585-97

[3] Hakama M(2013)Estimating the loss in expectation of life due to cancer using flexible parametric survival models Stat Med 32 5286-300

[4] Hakulinen T(2009)Further development of flexible parametric models for survival analysis Stata J 9 265-90

[5] Andersson T(2009)The completeness of the Swedish cancer register: a sample survey for year 1998 Acta Oncol 48 27-33

[6] Dickman P(2007)Flexible parametric models for relative survival, with application in coronary heart disease Stat Med 26 5486-98

[7] Eloranta S(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 2175-97

[8] Lambe M(1997)Deriving more up-to-date estimates of long-term patient survival J Clin Epidemiol 50 211-6

[9] Lambert P(1996)An alternative approach to monitoring cancer patient survival Cancer 78 2004-10

[10] Lambert PC(1992)Modeling and forecasting U.S. Mortality J Am Stat Assoc 87 659-71