Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Yiu, Sean"'
Autor:
Alvares, Danilo, Barrett, Jessica K., Mercier, François, Schulze, Jochen, Yiu, Sean, Castro, Felipe, Roumpanis, Spyros, Zhu, Yajing
Joint models have proven to be an effective approach for uncovering potentially hidden connections between various types of outcomes, mainly continuous, time-to-event, and binary. Typically, longitudinal continuous outcomes are characterized by linea
Externí odkaz:
http://arxiv.org/abs/2407.14311
Autor:
Alvares, Danilo, Barrett, Jessica K., Mercier, François, Roumpanis, Spyros, Yiu, Sean, Castro, Felipe, Schulze, Jochen, Zhu, Yajing
Predicting cancer-associated clinical events is challenging in oncology. In Multiple Myeloma (MM), a cancer of plasma cells, disease progression is determined by changes in biomarkers, such as serum concentration of the paraprotein secreted by plasma
Externí odkaz:
http://arxiv.org/abs/2405.20418
Autor:
Yiu, Sean
In clinical trials of longitudinal continuous outcomes, reference based imputation (RBI) has commonly been applied to handle missing outcome data in settings where the estimand incorporates the effects of intercurrent events, e.g. treatment discontin
Externí odkaz:
http://arxiv.org/abs/2310.05151
Irregular longitudinal data with informative visit times arise when patients' visits are partly driven by concurrent disease outcomes. However, existing methods such as inverse intensity weighting (IIW), often overlook or have not adequately assess t
Externí odkaz:
http://arxiv.org/abs/2305.16018
Autor:
Wolbers, Marcel, Noci, Alessandro, Delmar, Paul, Gower-Page, Craig, Yiu, Sean, Bartlett, Jonathan W.
Clinical trials with longitudinal outcomes typically include missing data due to missed assessments or structural missingness of outcomes after intercurrent events handled with a hypothetical strategy. Approaches based on Bayesian random multiple imp
Externí odkaz:
http://arxiv.org/abs/2109.11162
Marginal structural models (MSMs) with inverse probability weighting offer an approach to estimating causal effects of treatment sequences on repeated outcome measures in the presence of time-varying confounding and dependent censoring. However, when
Externí odkaz:
http://arxiv.org/abs/1806.05144
In psoriatic arthritis, it is important to understand the joint activity (represented by swelling and pain) and damage processes because both are related to severe physical disability. This paper aims to provide a comprehensive investigation in to bo
Externí odkaz:
http://arxiv.org/abs/1704.00522
Autor:
Yiu, Sean, Tom, Brian
Several researchers have described two-part models with patient-specific stochastic processes for analysing longitudinal semicontinuous data. In theory, such models can offer greater flexibility than the standard two-part model with patient-specific
Externí odkaz:
http://arxiv.org/abs/1703.09147
Autor:
Muros-Le Rouzic, Erwan, Heer, Yanic, Yiu, Sean, Tozzi, Viola, Braune, Stefan, van Hövell, Philip, Bergmann, Arnfin, Bernasconi, Corrado, Model, Fabian, Craveiro, Licinio
Publikováno v:
Journal of Central Nervous System Disease; 9/13/2024, p1-17, 17p
Autor:
Yiu, Sean
Publikováno v:
Computational Statistics; Sep2024, Vol. 39 Issue 6, p3263-3285, 23p