Cargando…

Predictive approaches to heterogeneous treatment effects: a scoping review

BACKGROUND: Recent evidence suggests that there is often substantial variation in the benefits and harms across a trial population. We aimed to identify regression modeling approaches that assess heterogeneity of treatment effect within a randomized clinical trial. METHODS: We performed a literature...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rekkas, Alexandros, Paulus, Jessica K., Raman, Gowri, Wong, John B., Steyerberg, Ewout W., Rijnbeek, Peter R., Kent, David M., van Klaveren, David
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585220/ https://www.ncbi.nlm.nih.gov/pubmed/33096986 http://dx.doi.org/10.1186/s12874-020-01145-1

Ejemplares similares

Estimating individualized treatment effects from randomized controlled trials: a simulation study to compare risk-based approaches
por: Rekkas, Alexandros, et al.
Publicado: (2023)

A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
por: Rekkas, Alexandros, et al.
Publicado: (2023)

External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature
por: Wessler, Benjamin S., et al.
Publicado: (2021)

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

Assessing discriminative ability of risk models in clustered data
por: van Klaveren, David, et al.
Publicado: (2014)

The calibrated model-based concordance improved assessment of discriminative ability in patient clusters of limited sample size
por: van Klaveren, David, et al.
Publicado: (2019)

Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury
por: Helmrich, Isabel R. A. Retel, et al.
Publicado: (2022)

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

Personalized Decision Making on Genomic Testing in Early Breast Cancer: Expanding the MINDACT Trial with Decision-Analytic Modeling
por: Steyerberg, Ewout W., et al.
Publicado: (2021)

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)

Health-related quality of life after TBI: a systematic review of study design, instruments, measurement properties, and outcome
por: Polinder, Suzanne, et al.
Publicado: (2015)

Recurrent individual treatment assignment: a treatment policy approach to account for heterogeneous treatment effects
por: Cornelisz, Ilja, et al.
Publicado: (2022)

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)

Machine learning to deal with missing disability status: Ascertainment and imputation of outcomes should be distinguished
por: Kent, David M, et al.
Publicado: (2022)

Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models
por: Gulati, Gaurav, et al.
Publicado: (2022)

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

Identifying trauma patients with benefit from direct transportation to Level-1 trauma centers
por: Sewalt, Charlie A., et al.
Publicado: (2021)

Using Iterative Pairwise External Validation to Contextualize Prediction Model Performance: A Use Case Predicting 1-Year Heart Failure Risk in Patients with Diabetes Across Five Data Sources
por: Williams, Ross D., et al.
Publicado: (2022)

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

Field Synopsis of the Role of Sex in Stroke Prediction Models
por: Paulus, Jessica K., et al.
Publicado: (2016)

Prediction or causality? A scoping review of their conflation within current observational research
por: Ramspek, Chava L., et al.
Publicado: (2021)

Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015
por: Wessler, Benjamin S., et al.
Publicado: (2017)

Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review
por: Yang, Cynthia, et al.
Publicado: (2022)

A prediction model for neonatal mortality in low- and middle-income countries: an analysis of data from population surveillance sites in India, Nepal and Bangladesh
por: Houweling, Tanja A J, et al.
Publicado: (2019)

Integrated care in patients with atrial fibrillation- a predictive heterogeneous treatment effect analysis of the ALL-IN trial
por: Trinks-Roerdink, Emmy M., et al.
Publicado: (2023)

Use of unstructured text in prognostic clinical prediction models: a systematic review
por: Seinen, Tom M, 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)

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

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

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

Evaluation of person-level heterogeneity of treatment effects in published multiperson N-of-1 studies: systematic review and reanalysis
por: Raman, Gowri, et al.
Publicado: (2018)

Calibration: the Achilles heel of predictive analytics
por: Van Calster, Ben, et al.
Publicado: (2019)

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

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities
por: Paulus, Jessica K., et al.
Publicado: (2020)

Benefit of integrated care in patients with atrial fibrillation- a predictive heterogeneous treatment effect analysis of the ALL-IN trial
por: Trinks-Roerdink, E M, et al.
Publicado: (2023)

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

Discrepancy between disability and reported well-being after traumatic brain injury
por: Retel Helmrich, Isabel Rosalie Arianne, et al.
Publicado: (2022)

The digital scribe in clinical practice: a scoping review and research agenda
por: van Buchem, Marieke M., et al.
Publicado: (2021)

3385 TARGETING DIABETES PREVENTION PROGRAMS: INDIVIDUAL RISK-BASED HEALTH ECONOMIC ANALYSIS
por: Olchanski, Natalia, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_8uida5gj7lkaf2b5f1oicpoemd