Cargando…

Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model

OBJECTIVES: Our aim was to improve meta-analysis methods for summarizing a prediction model's performance when individual participant data are available from multiple studies for external validation. STUDY DESIGN AND SETTING: We suggest multivariate meta-analysis for jointly synthesizing calibr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Snell, Kym I.E., Hua, Harry, Debray, Thomas P.A., Ensor, Joie, Look, Maxime P., Moons, Karel G.M., Riley, Richard D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2016
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688112/ https://www.ncbi.nlm.nih.gov/pubmed/26142114 http://dx.doi.org/10.1016/j.jclinepi.2015.05.009

Ejemplares similares

Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?
por: Snell, Kym IE, et al.
Publicado: (2017)

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
por: Riley, Richard D, et al.
Publicado: (2018)

External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb
por: Snell, Kym I.E., et al.
Publicado: (2021)

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
por: Riley, Richard D, et al.
Publicado: (2016)

Individual participant data meta‐analysis of continuous outcomes: A comparison of approaches for specifying and estimating one‐stage models
por: Legha, Amardeep, et al.
Publicado: (2018)

Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning
por: Riley, Richard D., et al.
Publicado: (2020)

Developing and validating risk prediction models in an individual participant data meta-analysis
por: Ahmed, Ikhlaaq, et al.
Publicado: (2014)

Simulation-based power calculations for planning a two-stage individual participant data meta-analysis
por: Ensor, Joie, et al.
Publicado: (2018)

Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist
por: Debray, Thomas P A, et al.
Publicado: (2023)

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
por: Debray, Thomas PA, et al.
Publicado: (2018)

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
por: Debray, Thomas P A, et al.
Publicado: (2023)

Individual participant data meta-analyses should not ignore clustering
por: Abo-Zaid, Ghada, et al.
Publicado: (2013)

Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
por: Snell, Kym I E, et al.
Publicado: (2023)

Evidence synthesis in prognosis research
por: Debray, Thomas P.A., et al.
Publicado: (2019)

Systematic review of prognostic models for recurrent venous thromboembolism (VTE) post-treatment of first unprovoked VTE
por: Ensor, Joie, et al.
Publicado: (2016)

Individual participant data meta‐analysis of intervention studies with time‐to‐event outcomes: A review of the methodology and an applied example
por: de Jong, Valentijn M.T., et al.
Publicado: (2020)

Meta‐analysis using individual participant data: one‐stage and two‐stage approaches, and why they may differ
por: Burke, Danielle L., et al.
Publicado: (2016)

On the aggregation of published prognostic scores for causal inference in observational studies
por: Nguyen, Tri‐Long, et al.
Publicado: (2020)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
por: Pate, Alexander, et al.
Publicado: (2023)

Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use
por: Debray, Thomas P. A., et al.
Publicado: (2015)

Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?
por: Debray, Thomas P. A., et al.
Publicado: (2013)

Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models
por: Riley, Richard D, et al.
Publicado: (2017)

Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome
por: Riley, Richard D., et al.
Publicado: (2022)

Detecting small‐study effects and funnel plot asymmetry in meta‐analysis of survival data: A comparison of new and existing tests
por: Debray, Thomas P. A., et al.
Publicado: (2017)

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
por: Collins, Gary S, et al.
Publicado: (2015)

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement
por: Collins, Gary S., et al.
Publicado: (2015)

External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
por: Collins, Gary S, et al.
Publicado: (2014)

Diabetic retinopathy progression in patients under monitoring for treatment or vision loss: external validation and update of a multivariable prediction model
por: Haider, Sajjad, et al.
Publicado: (2023)

External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol
por: Allotey, John, et al.
Publicado: (2017)

One‐stage individual participant data meta‐analysis models: estimation of treatment‐covariate interactions must avoid ecological bias by separating out within‐trial and across‐trial information
por: Hua, Hairui, et al.
Publicado: (2016)

Two-stage or not two-stage? That is the question for IPD meta-analysis projects
por: Riley, Richard D., et al.
Publicado: (2023)

Get real in individual participant data (IPD) meta‐analysis: a review of the methodology
por: Debray, Thomas P. A., et al.
Publicado: (2015)

Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small
por: Riley, Richard D., et al.
Publicado: (2021)

Comparison and reproducibility of standard and high temporal resolution myocardial tissue tagging in patients with severe aortic stenosis
por: Steadman, Christopher D, et al.
Publicado: (2011)

Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement
por: Heus, Pauline, et al.
Publicado: (2018)

Developing more generalizable prediction models from pooled studies and large clustered data sets
por: de Jong, Valentijn M. T., et al.
Publicado: (2021)

Multivariate meta-analysis using individual participant data
por: Riley, R. D., et al.
Publicado: (2014)

Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time
por: Booth, Sarah, et al.
Publicado: (2020)

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)

Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models
por: Ramspek, Chava L, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_35qqd89ctmgs5dsubvd8pdoahe