Results 141 to 150 of about 22,611 (308)
SURVIVAL ANALYSIS AND LENGTH-BIASED SAMPLING
When survival data are colleted as part of a prevalent cohort study, the recruited cases have already experienced their initiating event. These prevalent cases are then followed for a fixed period of time at the end of which the subjects will either have
Masoud Asgharian
doaj
Objective Spondyloarthritides (SpA) and inflammatory bowel disease (IBD) are immune‐mediated diseases with overlap in clinical and immunologic features. However, temporal correlation of SpA and IBD in individual patients and risk factors are not well characterized.
Manasi Agrawal +6 more
wiley +1 more source
p3state.msm: Analyzing Survival Data from an Illness-Death Model
In longitudinal studies of disease, patients can experience several events across a followup period. Analysis of such studies can be successfully performed by multi-state models.
Luís Filipe Meira Machado +1 more
core
Association of Clonal Hematopoiesis With Incident, Late‐Onset, Seropositive Rheumatoid Arthritis
Objective Clonal hematopoiesis (CH), defined by acquired driver mutations in hematopoietic stem cells, is associated with many inflammatory diseases of aging. We investigated whether CH and its subtypes, CH of indeterminate potential (CHIP) and mosaic chromosomal alteration (mCA), are associated with incident rheumatoid arthritis (RA) and whether ...
Kun Zhao +8 more
wiley +1 more source
Estimating panel data duration models with censored data
This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty ...
Lee, S.
core
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng +34 more
wiley +1 more source
Beta-Stacy survival regression models [PDF]
This paper introduces a class of survival models for discrete time-to-event data with random right censoring. Flexible distributions for the survival times are constructed by modelling the random survival functions as discrete-time beta-Stacy processes (
Muliere, Pietro, Rigat, Fabio
core
Aims Predetermined treatment duration limits (PTDLs) are often used by Taiwan's National Health Insurance Administration to contain healthcare costs, but they may compromise patient outcomes. Therefore, we studied Taiwan's 2017 extension of the bevacizumab PTDL from 24 to 36 weeks in metastatic colorectal cancer (mCRC) to evaluate whether prolonged ...
Wei‐Ming Huang +6 more
wiley +1 more source
A scoping review of survival analysis methods for doubly interval censored data
Doubly interval-censored data (DICD) often emerge in longitudinal studies, where the survival time, T = W − V, denotes the duration between two connected events: the initial event time (V) and the subsequent event time (W), both of which are subject to ...
Himani Kotian +3 more
doaj +1 more source
Estimation of Discrete Time Duration Models with Grouped Data [PDF]
Dynamic discrete choice panel data models have received a great deal of attention. In those models, the dynamics is usually handled by including the lagged outcome as an explanatory variable.
Bo E. Honoré, Luojia Hu
core

