Cargando…

The effect of diabetes complications on health-related quality of life: estimating the bias due to unobserved heterogeneity using the UKPDS

Detalles Bibliográficos
Autores principales:	Alva, Maria L, Gray, Alastair, Mihaylova, Borislava, Clarke, Philip
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Oral Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287782/ http://dx.doi.org/10.1186/1745-6215-12-S1-A64

Ejemplares similares

Developing a lifetime disease model from RCT data using parametric models with time-updated covariates
por: Schlackow, Iryna, et al.
Publicado: (2013)

Influence of observable and unobservable exposure on the patient's risk of acquiring influenza-like illness at hospital
por: Payet, C, et al.
Publicado: (2015)

Temporal Validation of the UKPDS Outcomes Model Using 10-Year Posttrial Monitoring Data
por: Leal, Jose, et al.
Publicado: (2013)

Cardiovascular Risk Estimated by UKPDS Risk Engine Algorithm in Diabetes
por: Kavaric, Nebojsa, et al.
Publicado: (2018)

Systematic review of randomised and observational evidence of effects of treatments of carotid stenosis to prevent stroke
por: Lokuge, Kusal, et al.
Publicado: (2015)

Assessing the presence of selection bias in meta-analyses of randomised trials using baseline heterogeneity
por: Clark, Laura, et al.
Publicado: (2013)

Complications of the anterior retropharyngeal surgical approach to the degenerative cervical spine
por: Mihaylova, S, et al.
Publicado: (2012)

Interacting effects of unobserved heterogeneity and individual stochasticity in the life history of the southern fulmar
por: Jenouvrier, Stéphanie, et al.
Publicado: (2017)

Validation of the UKPDS 82 risk equations within the Cardiff Diabetes Model
por: McEwan, Philip, et al.
Publicado: (2015)

Therapeutic Targets for Type 2 Diabetes Post-UKPDS
por: Yudkin, John S
Publicado: (2000)

Estimation of the Long-term Cardiovascular Events Using UKPDS Risk Engine in Metabolic Syndrome Patients
por: Shivakumar, V., et al.
Publicado: (2014)

Estimated incidence of cardiovascular complications related to type 2 diabetes in Mexico using the UKPDS outcome model and a population-based survey
por: Reynoso-Noverón, Nancy, et al.
Publicado: (2011)

Quantifying the Impact of Unobserved Heterogeneity on Inference from the Logistic Model
por: Ayis, Salma
Publicado: (2009)

The effect of treatment delay on time‐to‐recovery in the presence of unobserved heterogeneity
por: van Geloven, Nan, et al.
Publicado: (2020)

Is the Effect of Environmental Attitudes on Behavior Driven Solely by Unobserved Heterogeneity?
por: Andersen, Henrik Kenneth, et al.
Publicado: (2022)

Cost-Effectiveness of Pre-Referral Antimalarial, Antibacterial, and Combined Rectal Formulations for Severe Febrile Illness
por: Buchanan, James, et al.
Publicado: (2010)

Inconsistencies in quality of life data collection in clinical trials: a potential source of bias? Interviews with research nurses and trialists
por: Kyte, Derek, et al.
Publicado: (2013)

Biases in clinical trials with sequential monitoring
por: Schou, Manjula, et al.
Publicado: (2011)

Metabolic heterogeneity in cancer
por: DeBerardinis, Ralph J
Publicado: (2014)

Activation of CDK4 by Tax chemosensitizes p53-mutant cells to DNA damage
por: Semmes, O John, et al.
Publicado: (2014)

Population-wide cohort study of statin use for the secondary cardiovascular disease prevention in Scotland in 2009–2017
por: Thalmann, Inna, et al.
Publicado: (2023)

Survival Models on Unobserved Heterogeneity and their Applications in Analyzing Large-scale Survey Data
por: Liu, Xian
Publicado: (2014)

Excess length of stay due to methicillin-resistant Staphylococcus aureus (MRSA) infection at a large Swiss hospital estimated by multi-state modelling
por: Macedo-Vinas, M, et al.
Publicado: (2011)

Molecular heterogeneity of luminal breast cancer
por: Loi, S
Publicado: (2011)

Breast tumor heterogeneity: causes and consequences
por: Polyak, K, et al.
Publicado: (2009)

Estimating unobserved SARS-CoV-2 infections in the United States
por: Perkins, T. Alex, et al.
Publicado: (2020)

Sensor Selection and State Estimation for Unobservable and Non-Linear System Models
por: Devos, Thijs, et al.
Publicado: (2021)

Unobserved variables: models and misunderstandings
por: Bartholomew, David J
Publicado: (2013)

Observable and Unobservable Mechanical Motion
por: Müller, J. Gerhard
Publicado: (2020)

Microvascular obstruction is associated with greater infarct heterogeneity
por: Roifman, Idan, et al.
Publicado: (2013)

A multi-center trial of LGE-MRI of the left atrium
por: Kholmovski, Eugene, et al.
Publicado: (2013)

Computational prediction of heterogeneous interface properties at the atomic level
por: Ciacchi, Lucio Colombi
Publicado: (2013)

Heterogeneity of diffusion tensor imaging measurements of fractional anisotropy and mean diffusivity in normal human hearts in vivo
por: McGill, Laura-Ann, et al.
Publicado: (2015)

Predicting Changes in Cardiovascular Risk Factors in Type 2 Diabetes in the Post-UKPDS Era: Longitudinal Analysis of the Swedish National Diabetes Register
por: Ahmad Kiadaliri, Aliasghar, et al.
Publicado: (2013)

A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses
por: Kontopantelis, Evangelos, et al.
Publicado: (2013)

Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects
por: Nassiri, Habibollah, et al.
Publicado: (2023)

DE-MRI allows comparison of lesion formation after pulmonary vein isolation with different ablation catheters in patients with paroxysmal atrial fibrillation
por: Mahnkopf, Christian, et al.
Publicado: (2013)

Chaos in heterogeneous neural networks: I. The critical transition point
por: Aljadeff, Johnatan, et al.
Publicado: (2014)

Chaos in heterogeneous neural networks: II. Multiple activity modes
por: Stern, Merav, et al.
Publicado: (2014)

Th2-high asthma: a heterogeneous asthma population?
por: Sven, Seys, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_cnk65t6rc8t9v0lhcdh868etqc