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Rhian M Daniel

Showing results (11-20 of 29) with videos related to

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Biometrics|January 28, 2025
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case studyCamila Olarte Parra, Rhian M Daniel, David Wright, et al.
International Journal of Epidemiology|August 25, 2014
Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathwaysStephen Burgess, Rhian M Daniel, Adam S Butterworth, et al.
American Journal of Epidemiology|October 12, 2017
Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional MethodsRuth H Keogh, Rhian M Daniel, Tyler J VanderWeele, et al.
Epidemiology (Cambridge, Mass.)|May 12, 2018
Maternal Prepregnancy Weight Status and Adolescent Eating Disorder Behaviors: A Longitudinal Study of Risk PathwaysNadia Micali, Rhian M Daniel, George B Ploubidis, et al.
Statistical Methods in Medical Research|June 17, 2022
Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry dataKamaryn T Tanner, Linda D Sharples, Rhian M Daniel, et al.
Demography|March 11, 2017
An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort ModelsMaarten J Bijlsma, Rhian M Daniel, Fanny Janssen, et al.
American Journal of Epidemiology|December 16, 2014
Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lensBianca L De Stavola, Rhian M Daniel, George B Ploubidis, et al.
Statistical Methods in Medical Research|March 11, 2011
Using causal diagrams to guide analysis in missing data problemsRhian M Daniel, Michael G Kenward, Simon N Cousens, et al.
American Journal of Epidemiology|November 9, 2021
Using Negative Control Outcomes and Difference-in-Differences Analysis to Estimate Treatment Effects in an Entirely Treated Cohort: The Effect of Ivacaftor in Cystic FibrosisSimon J Newsome, Rhian M Daniel, Siobhán B Carr, et al.
Epidemiology (Cambridge, Mass.)|January 6, 2025
How Do Early Weight Trajectories Explain Social Inequalities in Lung Function in Children With Cystic Fibrosis?: A Longitudinal Interventional Disparity Effects Analysis With Time-varying Mediators and Intermediate ConfoundersDaniela K Schlüter, Ruth H Keogh, Rhian M Daniel, et al.
Pageof 3

Showing results (11-20 of 29) with videos related to

Sort By:
Pageof 3
Biometrics|January 28, 2025
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case studyCamila Olarte Parra, Rhian M Daniel, David Wright, et al.
International Journal of Epidemiology|August 25, 2014
Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathwaysStephen Burgess, Rhian M Daniel, Adam S Butterworth, et al.
American Journal of Epidemiology|October 12, 2017
Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional MethodsRuth H Keogh, Rhian M Daniel, Tyler J VanderWeele, et al.
Epidemiology (Cambridge, Mass.)|May 12, 2018
Maternal Prepregnancy Weight Status and Adolescent Eating Disorder Behaviors: A Longitudinal Study of Risk PathwaysNadia Micali, Rhian M Daniel, George B Ploubidis, et al.
Statistical Methods in Medical Research|June 17, 2022
Methods of analysis for survival outcomes with time-updated mediators, with application to longitudinal disease registry dataKamaryn T Tanner, Linda D Sharples, Rhian M Daniel, et al.
Demography|March 11, 2017
An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort ModelsMaarten J Bijlsma, Rhian M Daniel, Fanny Janssen, et al.
American Journal of Epidemiology|December 16, 2014
Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lensBianca L De Stavola, Rhian M Daniel, George B Ploubidis, et al.
Statistical Methods in Medical Research|March 11, 2011
Using causal diagrams to guide analysis in missing data problemsRhian M Daniel, Michael G Kenward, Simon N Cousens, et al.
American Journal of Epidemiology|November 9, 2021
Using Negative Control Outcomes and Difference-in-Differences Analysis to Estimate Treatment Effects in an Entirely Treated Cohort: The Effect of Ivacaftor in Cystic FibrosisSimon J Newsome, Rhian M Daniel, Siobhán B Carr, et al.
Epidemiology (Cambridge, Mass.)|January 6, 2025
How Do Early Weight Trajectories Explain Social Inequalities in Lung Function in Children With Cystic Fibrosis?: A Longitudinal Interventional Disparity Effects Analysis With Time-varying Mediators and Intermediate ConfoundersDaniela K Schlüter, Ruth H Keogh, Rhian M Daniel, et al.
Pageof 3