Cargando…

A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial

Personalizing treatment recommendations or guidelines requires evidence about the heterogeneity of treatment effects (HTE). Machine-learning (ML) approaches can explore HTE by considering many covariates, including complex interactions between them. Causal ML approaches can avoid overfitting, which...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sadique, Zia, Grieve, Richard, Diaz-Ordaz, Karla, Mouncey, Paul, Lamontagne, Francois, O’Neill, Stephen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Original Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459357/ https://www.ncbi.nlm.nih.gov/pubmed/35607982 http://dx.doi.org/10.1177/0272989X221100717

Ejemplares similares

Complier-average causal effects for multivariate outcomes: an instrumental variable approach with application to health economics
por: DiazOrdaz, Karla, et al.
Publicado: (2015)

Methods for estimating complier average causal effects for cost‐effectiveness analysis
por: DiazOrdaz, K., et al.
Publicado: (2017)

Estimating causal effects: considering three alternatives to difference-in-differences estimation
por: O’Neill, Stephen, et al.
Publicado: (2016)

Individual freedom versus collective responsibility: an economic epidemiology perspective
por: Sadique, M Zia
Publicado: (2006)

Machinability of Rene 65 Superalloy
por: Olufayo, Oluwole A., et al.
Publicado: (2019)

Cost-effectiveness of a cardiac output-guided haemodynamic therapy algorithm in high-risk patients undergoing major gastrointestinal surgery
por: Sadique, Zia, et al.
Publicado: (2015)

Is Drotrecogin alfa (activated) for adults with severe sepsis, cost-effective in routine clinical practice?
por: Sadique, M Zia, et al.
Publicado: (2011)

A Comparison of Ordered Categorical versus Discrete Choices within a Stated Preference Survey of Whole-Blood Donors
por: Sadique, Zia, et al.
Publicado: (2022)

Evidence of separate subgroups of juvenile southern bluefin tuna
por: Chambers, Mark S., et al.
Publicado: (2017)

FIRST-line support for assistance in breathing in children (FIRST-ABC): a master protocol of two randomised trials to evaluate the non-inferiority of high-flow nasal cannula (HFNC) versus continuous positive airway pressure (CPAP) for non-invasive respiratory support in paediatric critical care
por: Richards-Belle, Alvin, et al.
Publicado: (2020)

Psychological Outcomes following a nurse-led Preventative Psychological Intervention for critically ill patients (POPPI): protocol for a cluster-randomised clinical trial of a complex intervention
por: Richards-Belle, Alvin, et al.
Publicado: (2018)

A comparison of multiple imputation methods for bivariate hierarchical data: an application to cost-effectiveness analyse
por: Diaz-Ordaz, K, et al.
Publicado: (2013)

A comparison of methods for health policy evaluation with controlled pre‐post designs
por: O'Neill, Stephen, et al.
Publicado: (2020)

Predicting in-hospital death in pneumonic COPD exacerbation via BAP-65, CURB-65 and machine learning
por: Shiroshita, Akihiro, et al.
Publicado: (2022)

Multiple imputation methods for bivariate outcomes in cluster randomised trials
por: DiazOrdaz, K., et al.
Publicado: (2016)

A comparison of covariate adjustment approaches under model misspecification in individually randomized trials
por: Tackney, Mia S., et al.
Publicado: (2023)

Cost-effectiveness of alternative minimum recall intervals between whole blood donations
por: Sadique, Zia, et al.
Publicado: (2022)

Some Zander Machines Described and Illustrated
Publicado: (1916)

A machine-learning approach to estimating public intentions to become a living kidney donor in England: Evidence from repeated cross-sectional survey data
por: Boadu, Paul, et al.
Publicado: (2023)

Epigenetic Regulation of Endothelial Cell Function by Nucleic Acid Methylation in Cardiac Homeostasis and Disease
por: Russell-Hallinan, Adam, et al.
Publicado: (2020)

Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury
por: Kreif, Noémi, et al.
Publicado: (2015)

GRASP65 controls the cis Golgi integrity in vivo
por: Veenendaal, Tineke, et al.
Publicado: (2014)

Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock
por: Pirracchio, Romain, et al.
Publicado: (2020)

The agreement between proxy and self-completed EQ-5D for care home residents was better for index scores than individual domains()
por: Devine, Angela, et al.
Publicado: (2014)

Target trial emulation: Do antimicrobials or gastrointestinal nutraceuticals prescribed at first presentation for acute diarrhoea cause a better clinical outcome in dogs under primary veterinary care in the UK?
por: Pegram, Camilla, et al.
Publicado: (2023)

An educated guess — Distance estimation by surgeons
por: Conway, R. Gregory, et al.
Publicado: (2020)

Optimal VAsopressor TitraTION in patients 65 years and older (OVATION-65): protocol and statistical analysis plan for a randomised clinical trial
por: Masse, Marie-Hélène, et al.
Publicado: (2020)

Conflicting COVID-19 excess mortality estimates
por: O'Neill, Desmond
Publicado: (2023)

Indirect Estimation of the Comparative Treatment Effect in Pharmacogenomic Subgroups
por: Sorich, Michael J., et al.
Publicado: (2013)

First-line support for assistance in breathing in children: statistical and health economic analysis plan for the FIRST-ABC trial
por: Orzechowska, Izabella, et al.
Publicado: (2020)

Lower Versus Higher Exposure to Vasopressor Therapy in Vasodilatory Hypotension: A Systematic Review With Meta-Analysis*
por: Richards-Belle, Alvin, et al.
Publicado: (2022)

Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19
por: Keogh, Ruth H., et al.
Publicado: (2023)

Invited Commentary: Treatment Drop-in—Making the Case for Causal Prediction
por: Sperrin, Matthew, et al.
Publicado: (2021)

Protocol for a Randomized Multiple Center Trial of Conservative Versus Liberal Oxygenation Targets in Critically Ill Children (Oxy-PICU): Oxygen in Pediatric Intensive Care
por: Chang, Irene, et al.
Publicado: (2022)

Cost‐effectiveness of alternative changes to a national blood collection service
por: Willis, S., et al.
Publicado: (2018)

Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
por: Condit, Richard, et al.
Publicado: (2022)

Identifying homogeneous subgroups of patients and important features: a topological machine learning approach
por: Carr, Ewan, et al.
Publicado: (2021)

Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms
por: Lin, Ping-I, et al.
Publicado: (2021)

Using machine learning to advance disparities research: Subgroup analyses of access to opioid treatment
por: Kong, Yinfei, et al.
Publicado: (2021)

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data
por: Qin, Yidi, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_s3f4lpdchilq12i7vb818t4t98