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Elisavet Syriopoulou

Showing results (1-10 of 25) with videos related to

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Statistics in Medicine|April 7, 2017
Causal inference in survival analysis using pseudo-observationsPer K Andersen, Elisavet Syriopoulou, Erik T Parner
International Journal of Epidemiology|January 19, 2020
Marginal measures and causal effects using the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
International Journal of Epidemiology|April 17, 2020
Erratum to: Marginal measures and causal effects using the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
Statistics in Medicine|September 15, 2021
Inverse probability weighting and doubly robust standardization in the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
BMC Medical Research Methodology|April 25, 2021
Direct modelling of age standardized marginal relative survival through incorporation of time-dependent weightsPaul C Lambert, Elisavet Syriopoulou, Mark R Rutherford
Biometrical Journal. Biometrische Zeitschrift|December 14, 2020
Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
Breast Cancer Research : BCR|February 24, 2022
Assessing lead time bias due to mammography screening on estimates of loss in life expectancyElisavet Syriopoulou, Alessandro Gasparini, Keith Humphreys, et al.
Acta Dermato-Venereologica|April 20, 2026
Sex Differences in Loss in Life Expectancy in Primary Cutaneous Melanoma, a Swedish Cohort StudyAnna Oksanen, Elisavet Syriopoulou, Kari Nielsen, et al.
Journal of the American Academy of Dermatology|January 13, 2024
Loss in life expectancy in patients with stage II-III cutaneous melanoma in Sweden: A population-based cohort studySofi Vikström, Elisavet Syriopoulou, Therese M-L Andersson, et al.
British Journal of Cancer|September 1, 2022
Standardised survival probabilities: a useful and informative tool for reporting regression models for survival dataElisavet Syriopoulou, Tove Wästerlid, Paul C Lambert, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Statistics in Medicine|April 7, 2017
Causal inference in survival analysis using pseudo-observationsPer K Andersen, Elisavet Syriopoulou, Erik T Parner
International Journal of Epidemiology|January 19, 2020
Marginal measures and causal effects using the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
International Journal of Epidemiology|April 17, 2020
Erratum to: Marginal measures and causal effects using the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
Statistics in Medicine|September 15, 2021
Inverse probability weighting and doubly robust standardization in the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
BMC Medical Research Methodology|April 25, 2021
Direct modelling of age standardized marginal relative survival through incorporation of time-dependent weightsPaul C Lambert, Elisavet Syriopoulou, Mark R Rutherford
Biometrical Journal. Biometrische Zeitschrift|December 14, 2020
Understanding disparities in cancer prognosis: An extension of mediation analysis to the relative survival frameworkElisavet Syriopoulou, Mark J Rutherford, Paul C Lambert
Breast Cancer Research : BCR|February 24, 2022
Assessing lead time bias due to mammography screening on estimates of loss in life expectancyElisavet Syriopoulou, Alessandro Gasparini, Keith Humphreys, et al.
Acta Dermato-Venereologica|April 20, 2026
Sex Differences in Loss in Life Expectancy in Primary Cutaneous Melanoma, a Swedish Cohort StudyAnna Oksanen, Elisavet Syriopoulou, Kari Nielsen, et al.
Journal of the American Academy of Dermatology|January 13, 2024
Loss in life expectancy in patients with stage II-III cutaneous melanoma in Sweden: A population-based cohort studySofi Vikström, Elisavet Syriopoulou, Therese M-L Andersson, et al.
British Journal of Cancer|September 1, 2022
Standardised survival probabilities: a useful and informative tool for reporting regression models for survival dataElisavet Syriopoulou, Tove Wästerlid, Paul C Lambert, et al.
Pageof 3