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Shaun R Seaman

Showing results (1-10 of 53) with videos related to

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Biometrics|May 18, 2018
Semi-parametric methods of handling missing data in mortal cohorts under non-ignorable missingnessLan Wen, Shaun R Seaman
BMC Medical Research Methodology|October 18, 2006
Re-interpreting conventional interval estimates taking into account bias and extra-variationMichael Höfler, Shaun R Seaman
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|May 8, 2018
Introduction to Double Robust Methods for Incomplete DataShaun R Seaman, Stijn Vansteelandt
Statistical Methods in Medical Research|January 12, 2011
Review of inverse probability weighting for dealing with missing dataShaun R Seaman, Ian R White
Statistical Methods in Medical Research|September 7, 2016
Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location modelShaun R Seaman, Rachael A Hughes
Biometrical Journal. Biometrische Zeitschrift|November 23, 2024
Simulating Data From Marginal Structural Models for a Survival Time OutcomeShaun R Seaman, Ruth H Keogh
Statistical Methods in Medical Research|February 26, 2019
A latent variable model for improving inference in trials assessing the effect of dose on toxicity and composite efficacy endpointsJames Ms Wason, Shaun R Seaman
Biometrics|August 4, 2015
Handling missing data in matched case-control studies using multiple imputationShaun R Seaman, Ruth H Keogh
Statistical Methods in Medical Research|December 21, 2021
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methodsShaun R Seaman, Anne Presanis, Christopher Jackson
Statistics in Medicine|June 19, 2013
Using continuous data on tumour measurements to improve inference in phase II cancer studiesJames M S Wason, Shaun R Seaman
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
Biometrics|May 18, 2018
Semi-parametric methods of handling missing data in mortal cohorts under non-ignorable missingnessLan Wen, Shaun R Seaman
BMC Medical Research Methodology|October 18, 2006
Re-interpreting conventional interval estimates taking into account bias and extra-variationMichael Höfler, Shaun R Seaman
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|May 8, 2018
Introduction to Double Robust Methods for Incomplete DataShaun R Seaman, Stijn Vansteelandt
Statistical Methods in Medical Research|January 12, 2011
Review of inverse probability weighting for dealing with missing dataShaun R Seaman, Ian R White
Statistical Methods in Medical Research|September 7, 2016
Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location modelShaun R Seaman, Rachael A Hughes
Biometrical Journal. Biometrische Zeitschrift|November 23, 2024
Simulating Data From Marginal Structural Models for a Survival Time OutcomeShaun R Seaman, Ruth H Keogh
Statistical Methods in Medical Research|February 26, 2019
A latent variable model for improving inference in trials assessing the effect of dose on toxicity and composite efficacy endpointsJames Ms Wason, Shaun R Seaman
Biometrics|August 4, 2015
Handling missing data in matched case-control studies using multiple imputationShaun R Seaman, Ruth H Keogh
Statistical Methods in Medical Research|December 21, 2021
Estimating a time-to-event distribution from right-truncated data in an epidemic: A review of methodsShaun R Seaman, Anne Presanis, Christopher Jackson
Statistics in Medicine|June 19, 2013
Using continuous data on tumour measurements to improve inference in phase II cancer studiesJames M S Wason, Shaun R Seaman
Pageof 6