Detalhe da pesquisa
1.
The BILAG-2004 index is associated with development of new damage in SLE.
Rheumatology (Oxford)
; 62(2): 668-675, 2023 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35686924
2.
Partially hidden multi-state modelling of a prolonged disease state defined by a composite outcome.
Lifetime Data Anal
; 25(4): 696-711, 2019 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30661194
3.
Trivariate mover-stayer counting process models for investigating joint damage in psoriatic arthritis.
Stat Med
; 35(30): 5701-5716, 2016 12 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-27501256
4.
Dirichlet negative multinomial regression for overdispersed correlated count data.
Biostatistics
; 14(2): 395-404, 2013 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-23221819
5.
The versatility of multi-state models for the analysis of longitudinal data with unobservable features.
Lifetime Data Anal
; 20(1): 51-75, 2014 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-23225140
6.
Mixture distributions in multi-state modelling: some considerations in a study of psoriatic arthritis.
Stat Med
; 32(4): 600-19, 2013 Feb 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-22833400
7.
A multistate model for events defined by prolonged observation.
Biostatistics
; 12(1): 102-11, 2011 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-20581216
8.
The BILAG2004-Pregnancy index is reliable for assessment of disease activity in pregnant SLE patients.
Rheumatology (Oxford)
; 51(10): 1877-80, 2012 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-22763989
9.
The BILAG-2004 systems tally--a novel way of representing the BILAG-2004 index scores longitudinally.
Rheumatology (Oxford)
; 51(11): 2099-105, 2012 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-22908329
10.
Comparison of Responsiveness of British Isles Lupus Assessment Group 2004 Index, Systemic Lupus Erythematosus Disease Activity Index 2000, and British Isles Lupus Assessment Group 2004 Systems Tally.
Arthritis Care Res (Hoboken)
; 74(10): 1623-1630, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-33787088
11.
Inflammation in an individual joint predicts damage to that joint in psoriatic arthritis.
Ann Rheum Dis
; 70(2): 305-8, 2011 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-20980703
12.
The use of Systemic Lupus Erythematosus Disease Activity Index-2000 to define active disease and minimal clinically meaningful change based on data from a large cohort of systemic lupus erythematosus patients.
Rheumatology (Oxford)
; 50(5): 982-8, 2011 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-21245073
13.
Intermittent observation of time-dependent explanatory variables: a multistate modelling approach.
Stat Med
; 30(30): 3520-31, 2011 Dec 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-22139873
14.
Bias in 2-part mixed models for longitudinal semicontinuous data.
Biostatistics
; 10(2): 374-89, 2009 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-19136448
15.
Clustered multistate models with observation level random effects, mover-stayer effects and dynamic covariates: modelling transition intensities and sojourn times in a study of psoriatic arthritis.
J R Stat Soc Ser C Appl Stat
; 67(2): 481-500, 2018 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-29371746
16.
Correlated multistate models for multiple processes: an application to renal disease progression in systemic lupus erythematosus.
J R Stat Soc Ser C Appl Stat
; 67(4): 841-860, 2018 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-31105343
17.
Exploring the existence of a stayer population with mover-stayer counting process models: application to joint damage in psoriatic arthritis.
J R Stat Soc Ser C Appl Stat
; 66(4): 669-690, 2017 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-28706323
18.
Study design.
Diagn Histopathol (Oxf)
; 22(7): 246-252, 2016 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-27559362
19.
A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous data.
Stat Methods Med Res
; 25(5): 2014-2020, 2016 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-24201470
20.
On Modelling Minimal Disease Activity.
Arthritis Care Res (Hoboken)
; 68(3): 388-93, 2016 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-26315478