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David B Wolfson

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

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Lifetime Data Analysis|August 19, 2006
A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-upVittorio Addona, David B Wolfson
The Canadian Journal of Statistics = Revue Canadienne De Statistique|June 7, 2024
Nested case-control study designs for left-truncated survival dataAna F Best, David B Wolfson
The International Journal of Biostatistics|August 2, 2012
Testing the assumptions for the analysis of survival data arising from a prevalent cohort study with follow-upVittorio Addona, Juli Atherton, David B Wolfson
Statistics in Medicine|October 13, 2005
Checking stationarity of the incidence rate using prevalent cohort survival dataMasoud Asgharian, David B Wolfson, Xun Zhang
Biometrics|February 19, 2004
A Bayesian A-optimal and model robust design criterionXiaojie Zhou, Lawrence Joseph, David B Wolfson, et al.
The International Journal of Biostatistics|April 9, 2024
The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: properties and applicationsJames H McVittie, David B Wolfson, David A Stephens
BMC Medical Research Methodology|January 8, 2022
Stacked survival models for residual lifetime dataJames H McVittie, David B Wolfson, Vittorio Addona, et al.
The New Phytologist|March 29, 2007
Bayesian change-point analyses in ecologyBrian Beckage, Lawrence Joseph, Patrick Belisle, et al.
Statistical Methods in Medical Research|October 9, 2018
Benefits of combining prevalent and incident cohorts: An application to myotonic dystrophyDavid B Wolfson, Ana F Best, Vittorio Addona, et al.
International Statistical Review = Revue Internationale De Statistique|May 16, 2023
Survival Modelling For Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis using Electronic Health RecordsJames H McVittie, Ana F Best, David B Wolfson, et al.
Pageof 1

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

Sort By:
Pageof 1
Lifetime Data Analysis|August 19, 2006
A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-upVittorio Addona, David B Wolfson
The Canadian Journal of Statistics = Revue Canadienne De Statistique|June 7, 2024
Nested case-control study designs for left-truncated survival dataAna F Best, David B Wolfson
The International Journal of Biostatistics|August 2, 2012
Testing the assumptions for the analysis of survival data arising from a prevalent cohort study with follow-upVittorio Addona, Juli Atherton, David B Wolfson
Statistics in Medicine|October 13, 2005
Checking stationarity of the incidence rate using prevalent cohort survival dataMasoud Asgharian, David B Wolfson, Xun Zhang
Biometrics|February 19, 2004
A Bayesian A-optimal and model robust design criterionXiaojie Zhou, Lawrence Joseph, David B Wolfson, et al.
The International Journal of Biostatistics|April 9, 2024
The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: properties and applicationsJames H McVittie, David B Wolfson, David A Stephens
BMC Medical Research Methodology|January 8, 2022
Stacked survival models for residual lifetime dataJames H McVittie, David B Wolfson, Vittorio Addona, et al.
The New Phytologist|March 29, 2007
Bayesian change-point analyses in ecologyBrian Beckage, Lawrence Joseph, Patrick Belisle, et al.
Statistical Methods in Medical Research|October 9, 2018
Benefits of combining prevalent and incident cohorts: An application to myotonic dystrophyDavid B Wolfson, Ana F Best, Vittorio Addona, et al.
International Statistical Review = Revue Internationale De Statistique|May 16, 2023
Survival Modelling For Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis using Electronic Health RecordsJames H McVittie, Ana F Best, David B Wolfson, et al.
Pageof 1