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Paul C Lambert

Showing results (81-90 of 159) with videos related to

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Statistics in Medicine|September 12, 2007
Comments on 'trying to be precise about vagueness' by Stephen Senn, Statistics in Medicine 2007; 26:1417-1430Paul C Lambert, Alex J Sutton, Paul R Burton, et al.
International Journal of Epidemiology|August 24, 2020
Reference-adjusted and standardized all-cause and crude probabilities as an alternative to net survival in population-based cancer studiesPaul C Lambert, Therese M-L Andersson, Mark J Rutherford, et al.
BMC Medical Research Methodology|January 7, 2022
Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisonsMark J Rutherford, Therese M-L Andersson, Tor Åge Myklebust, et al.
Statistics in Medicine|August 10, 2016
A flexible parametric approach to examining spatial variation in relative survivalSusanna M Cramb, Kerrie L Mengersen, Paul C Lambert, et al.
BMC Medical Research Methodology|January 16, 2007
Bivariate random-effects meta-analysis and the estimation of between-study correlationRichard D Riley, Keith R Abrams, Alexander J Sutton, et al.
Health Economics|May 30, 2007
Estimating the cost-effectiveness of an intervention in a clinical trial when partial cost information is available: a Bayesian approachPaul C Lambert, Lucinda J Billingham, Nicola J Cooper, et al.
Cancer Epidemiology|January 23, 2026
Survival of all cancer sites combined: Partitioning of temporal changes into cancer, non-cancer and case-mixPaul C Lambert, Yngvar Nilssen, Tor Åge Myklebust, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|December 28, 2023
Perils of Randomized Controlled Trial Survival Extrapolation Assuming Treatment Effect Waning: Why the Distinction Between Marginal and Conditional Estimates MattersAngus C Jennings, Mark J Rutherford, Nicholas R Latimer, et al.
Journal of Clinical Epidemiology|January 15, 2005
A Bayesian approach to evaluating net clinical benefit allowed for parameter uncertaintyAlexander J Sutton, Nicola J Cooper, Keith R Abrams, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|April 17, 2025
Monitoring temporal trends in cancer survival; choosing appropriate standards when accounting for age and other-cause mortality variation over timePaul C Lambert, Therese M L Andersson, Tor Åge Myklebust, et al.
Pageof 16

Showing results (81-90 of 159) with videos related to

Sort By:
Pageof 16
Statistics in Medicine|September 12, 2007
Comments on 'trying to be precise about vagueness' by Stephen Senn, Statistics in Medicine 2007; 26:1417-1430Paul C Lambert, Alex J Sutton, Paul R Burton, et al.
International Journal of Epidemiology|August 24, 2020
Reference-adjusted and standardized all-cause and crude probabilities as an alternative to net survival in population-based cancer studiesPaul C Lambert, Therese M-L Andersson, Mark J Rutherford, et al.
BMC Medical Research Methodology|January 7, 2022
Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisonsMark J Rutherford, Therese M-L Andersson, Tor Åge Myklebust, et al.
Statistics in Medicine|August 10, 2016
A flexible parametric approach to examining spatial variation in relative survivalSusanna M Cramb, Kerrie L Mengersen, Paul C Lambert, et al.
BMC Medical Research Methodology|January 16, 2007
Bivariate random-effects meta-analysis and the estimation of between-study correlationRichard D Riley, Keith R Abrams, Alexander J Sutton, et al.
Health Economics|May 30, 2007
Estimating the cost-effectiveness of an intervention in a clinical trial when partial cost information is available: a Bayesian approachPaul C Lambert, Lucinda J Billingham, Nicola J Cooper, et al.
Cancer Epidemiology|January 23, 2026
Survival of all cancer sites combined: Partitioning of temporal changes into cancer, non-cancer and case-mixPaul C Lambert, Yngvar Nilssen, Tor Åge Myklebust, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|December 28, 2023
Perils of Randomized Controlled Trial Survival Extrapolation Assuming Treatment Effect Waning: Why the Distinction Between Marginal and Conditional Estimates MattersAngus C Jennings, Mark J Rutherford, Nicholas R Latimer, et al.
Journal of Clinical Epidemiology|January 15, 2005
A Bayesian approach to evaluating net clinical benefit allowed for parameter uncertaintyAlexander J Sutton, Nicola J Cooper, Keith R Abrams, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|April 17, 2025
Monitoring temporal trends in cancer survival; choosing appropriate standards when accounting for age and other-cause mortality variation over timePaul C Lambert, Therese M L Andersson, Tor Åge Myklebust, et al.
Pageof 16