5 papers
Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators
Sean Yiu, Li Su
Irregular longitudinal data with informative visit times arise when patients' visits are partly driven by concurrent disease outcomes. However, existing methods such as inverse int…
Standard and reference-based conditional mean imputation
Marcel Wolbers, Alessandro Noci, Paul Delmar +3
Clinical trials with longitudinal outcomes typically include missing data due to missed assessments or structural missingness of outcomes after intercurrent events handled with a h…
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models
Sean Yiu, Li Su
Marginal structural models (MSMs) with inverse probability weighting offer an approach to estimating causal effects of treatment sequences on repeated outcome measures in the prese…
Clustered multi-state models with observation-level random effects, mover-stayer effects and dynamic covariates: Modelling transition intensities and sojourn times in a study of psoriatic arthritis
Sean Yiu, Vernon T. Farewell, Brian D. M. Tom
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 disabil…
Two-part models with stochastic processes for modelling longitudinal semicontinuous data: computationally efficient inference and modelling the overall marginal mean
Sean Yiu, Brian Tom
Several researchers have described two-part models with patient-specific stochastic processes for analysing longitudinal semicontinuous data. In theory, such models can offer great…