A joint modelling approach for multistate processes subject to resolution and under intermittent observations

Por Yiu, Sean, Tom, Brian
Publicado no Stat Med (2016)

Two-part models with stochastic processes for modelling longitudinal semicontinuous data: Computationally efficient inference and modelling the overall marginal mean

Por Yiu, Sean, Tom, Brian DM
Publicado no Stat Methods Med Res (2017)

How can we tell if frogs jump further?

Por Drummond, Gordon B, Tom, Brian DM
Publicado em 2011

Statistics, probability, significance, likelihood: words mean what we define them to mean

Por Drummond, Gordon B, Tom, Brian DM
Publicado em 2011

Presenting data: can you follow a recipe?

Por Drummond, Gordon B, Tom, Brian DM
Publicado em 2012

Reply from Gordon B. Drummond and Brian D. M. Tom

Por Drummond, Gordon B, Tom, Brian DM
Publicado em 2012

The versatility of multi-state models for the analysis of longitudinal data with unobservable features

Por Farewell, Vernon T., Tom, Brian D. M.
Publicado em 2012

How can we tell if frogs jump further?

Por Drummond, Gordon B, Tom, Brian D M
Publicado em 2011

Statistics, probability, significance, likelihood: words mean what we define them to mean

Por Drummond, Gordon B, Tom, Brian D M
Publicado em 2011

Reply from Gordon B. Drummond and Brian D. M. Tom

Por Drummond, Gordon B, Tom, Brian D M
Publicado em 2011

Presenting data: can you follow a recipe?

Por Drummond, Gordon B, Tom, Brian D M
Publicado em 2011

A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data

Por Tom, Brian DM, Su, Li, Farewell, Vernon T
Publicado no Stat Methods Med Res (2013)

Bias in 2-part mixed models for longitudinal semicontinuous data

Por Su, Li, Tom, Brian D. M., Farewell, Vernon T.
Publicado em 2009

A likelihood-based two-part marginal model for longitudinal semi-continuous data

Por Su, Li, Tom, Brian D. M., Farewell, Vernon T.
Publicado no Stat Methods Med Res (2011)

Trivariate mover‐stayer counting process models for investigating joint damage in psoriatic arthritis

Por Yiu, Sean, Tom, Brian D. M., Farewell, Vernon T.
Publicado no Stat Med (2016)

Exploring the existence of a stayer population with mover–stayer counting process models: application to joint damage in psoriatic arthritis

Por Yiu, Sean, Farewell, Vernon T., Tom, Brian D. M.
Publicado no J R Stat Soc Ser C Appl Stat (2016)

Clustered multistate models with observation level random effects, mover–stayer effects and dynamic covariates: modelling transition intensities and sojourn times in a study of pso...

Por Yiu, Sean, Farewell, Vernon T., Tom, Brian D. M.
Publicado no J R Stat Soc Ser C Appl Stat (2017)

Mixture distributions in multi-state modelling: Some considerations in a study of psoriatic arthritis

Por O'Keeffe, Aidan G, Tom, Brian DM, Farewell, Vernon T
Publicado em 2013

Power analysis to detect treatment effects in longitudinal clinical trials for Alzheimer's disease

Por Huang, Zhiyue, Muniz-Terrera, Graciela, Tom, Brian D.M.
Publicado no Alzheimers Dement (N Y) (2017)

A case-study in the clinical epidemiology of psoriatic arthritis: multistate models and causal arguments

Por O'Keeffe, Aidan G, Tom, Brian D M, Farewell, Vernon T
Publicado em 2011