Cargando…

Prediction of Survival with Alternative Modeling Techniques Using Pseudo Values

BACKGROUND: The use of alternative modeling techniques for predicting patient survival is complicated by the fact that some alternative techniques cannot readily deal with censoring, which is essential for analyzing survival data. In the current study, we aimed to demonstrate that pseudo values enab...

Descripción completa

Detalles Bibliográficos
Autores principales:	van der Ploeg, Tjeerd, Datema, Frank, Baatenburg de Jong, Robert, Steyerberg, Ewout W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065009/ https://www.ncbi.nlm.nih.gov/pubmed/24950066 http://dx.doi.org/10.1371/journal.pone.0100234

Ejemplares similares

Prediction of intracranial findings on CT-scans by alternative modelling techniques
por: van der Ploeg, Tjeerd, et al.
Publicado: (2011)

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints
por: van der Ploeg, Tjeerd, et al.
Publicado: (2014)

Assessing Discriminative Performance at External Validation of Clinical Prediction Models
por: Nieboer, Daan, et al.
Publicado: (2016)

Feature selection and validated predictive performance in the domain of Legionella pneumophila: a comparative study
por: van der Ploeg, Tjeerd, et al.
Publicado: (2016)

A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal Study
por: van der Ploeg, Tjeerd, et al.
Publicado: (2022)

Metadata Correction: A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal Study
por: van der Ploeg, Tjeerd, et al.
Publicado: (2022)

Clinical prediction models : a practical approach to development, validation, and updating /
por: Steyerberg, Ewout W.
Publicado: (2009)

Clinical prediction models: a practical approach to development, validation, and updating
por: Steyerberg, Ewout W
Publicado: (2019)

Clinical prediction models: a practical approach to development, validation, and updating
por: Steyerberg, Ewout W
Publicado: (2009)

Prediction of Inhospital Mortality in Critically Ill Patients With Sepsis: Confirmation of the Added Value of 24-Hour Lactate to Acute Physiology and Chronic Health Evaluation IV
por: Baysan, Meryem, et al.
Publicado: (2022)

Praise to Robust Prediction Modeling in Large Datasets
por: Steyerberg, Ewout W., et al.
Publicado: (2020)

There is no such thing as a validated prediction model
por: Van Calster, Ben, et al.
Publicado: (2023)

The Added Value of Lactate and Lactate Clearance in Prediction of In-Hospital Mortality in Critically Ill Patients With Sepsis
por: Baysan, Meryem, et al.
Publicado: (2020)

Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
por: Vickers, Andrew J, et al.
Publicado: (2016)

External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands: A Comparative Study
por: van der Ploeg, Tjeerd, et al.
Publicado: (2023)

Food insecurity status is of added value in explaining poor health: a cross-sectional study among parents living in disadvantaged neighbourhoods in the Netherlands
por: van der Velde, Laura A, et al.
Publicado: (2022)

The Prediction of Mortality by Disability Among Dutch Community-Dwelling Older People
por: Gobbens, Robbert J J, et al.
Publicado: (2020)

Prediction of COVID-19 Infections for Municipalities in the Netherlands: Algorithm Development and Interpretation
por: van der Ploeg, Tjeerd, et al.
Publicado: (2022)

Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models
por: Austin, Peter C, et al.
Publicado: (2013)

Sample size considerations and predictive performance of multinomial logistic prediction models
por: de Jong, Valentijn M. T., et al.
Publicado: (2019)

The Added Value of Art for the Well-Being of Older People with Chronic Psychiatric Illnesses and Dementia Living in Long-Term Care Facilities, and on the Collaboration between Their Caregivers and Artists
por: Boersma, Petra, et al.
Publicado: (2021)

Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
por: Giardiello, Daniele, et al.
Publicado: (2020)

The additional value of TGFβ1 and IL-7 to predict the course of prostate cancer progression
por: Schroten, Caroline, et al.
Publicado: (2011)

Model-assisted predictions on prognosis in HNSCC: do we learn?
por: van der Schroeff, Marc P., et al.
Publicado: (2010)

Assessment of heterogeneity in an individual participant data meta‐analysis of prediction models: An overview and illustration
por: Steyerberg, Ewout W., et al.
Publicado: (2019)

Minimizing Population Health Loss in Times of Scarce Surgical Capacity During the Coronavirus Disease 2019 Crisis and Beyond: A Modeling Study
por: Gravesteijn, Benjamin, et al.
Publicado: (2021)

Three myths about risk thresholds for prediction models
por: Wynants, Laure, et al.
Publicado: (2019)

Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting
por: Austin, Peter C, et al.
Publicado: (2021)

A two‐stage prediction model for heterogeneous effects of treatments
por: Chalkou, Konstantina, et al.
Publicado: (2021)

Adaptive sample size determination for the development of clinical prediction models
por: Christodoulou, Evangelia, et al.
Publicado: (2021)

Analyzing differences between restricted mean survival time curves using pseudo-values
por: Ambrogi, Federico, et al.
Publicado: (2022)

Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model
por: Austin, Peter C, et al.
Publicado: (2015)

Update on a Model to Minimize Population Health Loss in Times of Scarce Surgical Capacity During the COVID-19 Crisis and Beyond
por: Gravesteijn, Benjamin, et al.
Publicado: (2022)

Predicting Disability Using a Nomogram of the Tilburg Frailty Indicator (TFI)
por: Gobbens, Robbert J., et al.
Publicado: (2023)

Predicting survival in head and neck cancer: External validation and update of the prognostic model OncologIQ in 2189 patients
por: Hoesseini, Arta, et al.
Publicado: (2021)

Improving prediction models with new markers: a comparison of updating strategies
por: Nieboer, D., et al.
Publicado: (2016)

1031. Can We Safely Reduce Unnecessary Blood Cultures in Patients with Suspected Infection in the Emergency Department? The PredictED Study to Develop and Validate a Bacteremia Prediction Model
por: Kaal, Anna, et al.
Publicado: (2023)

Blood eosinophils, fractional exhaled nitric oxide and the risk of asthma attacks in randomised controlled trials: protocol for a systemic review and control arm patient-level meta-analysis for clinical prediction modelling
por: Couillard, Simon, et al.
Publicado: (2022)

Validation of prediction models: examining temporal and geographic stability of baseline risk and estimated covariate effects
por: Austin, Peter C., et al.
Publicado: (2017)

Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure
por: Austin, Peter C., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_v58fbdtiglrkbskgegidh1nm1d