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Rhian M Daniel

Showing results (1-10 of 29) with videos related to

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International Journal of Epidemiology|March 4, 2014
Commentary: Berkson's fallacy and missing dataDaniel Westreich, Rhian M Daniel
Epidemiology (Cambridge, Mass.)|December 7, 2016
Interventional Effects for Mediation Analysis with Multiple MediatorsStijn Vansteelandt, Rhian M Daniel
Lifetime Data Analysis|June 1, 2013
Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observedRhian M Daniel, Anastasios A Tsiatis
Epidemiology (Cambridge, Mass.)|February 10, 2012
Marginal structural models: the way forward for life-course epidemiology?Bianca L De Stavola, Rhian M Daniel
International Journal of Epidemiology|March 25, 2017
Commentary: Incorporating concepts and methods from causal inference into life course epidemiologyBianca L De Stavola, Rhian M Daniel
International Journal of Epidemiology|November 24, 2016
Commentary: Incorporating concepts and methods from causal inference into life course epidemiologyBianca L De Stavola, Rhian M Daniel
Statistics in Medicine|April 20, 2018
Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertaintySimon J Newsome, Ruth H Keogh, Rhian M Daniel
International Journal of Epidemiology|January 29, 2017
Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?Rhian M Daniel, Bianca L De Stavola, Stijn Vansteelandt
Statistics in Biopharmaceutical Research|June 1, 2023
Hypothetical Estimands in Clinical Trials: A Unification of Causal Inference and Missing Data MethodsCamila Olarte Parra, Rhian M Daniel, Jonathan W Bartlett
BMC Medical Research Methodology|April 13, 2016
A comparison of methods to adjust for continuous covariates in the analysis of randomised trialsBrennan C Kahan, Helen Rushton, Tim P Morris, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
International Journal of Epidemiology|March 4, 2014
Commentary: Berkson's fallacy and missing dataDaniel Westreich, Rhian M Daniel
Epidemiology (Cambridge, Mass.)|December 7, 2016
Interventional Effects for Mediation Analysis with Multiple MediatorsStijn Vansteelandt, Rhian M Daniel
Lifetime Data Analysis|June 1, 2013
Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observedRhian M Daniel, Anastasios A Tsiatis
Epidemiology (Cambridge, Mass.)|February 10, 2012
Marginal structural models: the way forward for life-course epidemiology?Bianca L De Stavola, Rhian M Daniel
International Journal of Epidemiology|March 25, 2017
Commentary: Incorporating concepts and methods from causal inference into life course epidemiologyBianca L De Stavola, Rhian M Daniel
International Journal of Epidemiology|November 24, 2016
Commentary: Incorporating concepts and methods from causal inference into life course epidemiologyBianca L De Stavola, Rhian M Daniel
Statistics in Medicine|April 20, 2018
Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertaintySimon J Newsome, Ruth H Keogh, Rhian M Daniel
International Journal of Epidemiology|January 29, 2017
Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?Rhian M Daniel, Bianca L De Stavola, Stijn Vansteelandt
Statistics in Biopharmaceutical Research|June 1, 2023
Hypothetical Estimands in Clinical Trials: A Unification of Causal Inference and Missing Data MethodsCamila Olarte Parra, Rhian M Daniel, Jonathan W Bartlett
BMC Medical Research Methodology|April 13, 2016
A comparison of methods to adjust for continuous covariates in the analysis of randomised trialsBrennan C Kahan, Helen Rushton, Tim P Morris, et al.
Pageof 3