Cargando…

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

When designing a study to develop a new prediction model with binary or time‐to‐event outcomes, researchers should ensure their sample size is adequate in terms of the number of participants (n) and outcome events (E) relative to the number of predictor parameters (p) considered for inclusion. We pr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Riley, Richard D, Snell, Kym IE, Ensor, Joie, Burke, Danielle L, Harrell Jr, Frank E, Moons, Karel GM, Collins, Gary S
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2018
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519266/ https://www.ncbi.nlm.nih.gov/pubmed/30357870 http://dx.doi.org/10.1002/sim.7992

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)

Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model
por: Snell, Kym I.E., et al.
Publicado: (2016)

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

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)

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)

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

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)

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

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)

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

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)

Sample size for binary logistic prediction models: Beyond events per variable criteria
por: van Smeden, Maarten, et al.
Publicado: (2018)

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

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

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)

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

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)

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

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)

A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
por: Hoogland, Jeroen, et al.
Publicado: (2021)

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)

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)

Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
por: Dhiman, Paula, et al.
Publicado: (2023)

Minimum triplet covers of binary phylogenetic X-trees
por: Huber, K. T., et al.
Publicado: (2017)

Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance
por: Martin, Glen P, et al.
Publicado: (2021)

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
por: van Smeden, Maarten, et al.
Publicado: (2016)

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

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

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

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

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study
por: Collins, Gary S., et al.
Publicado: (2015)

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

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)

Empirical comparison of univariate and multivariate meta‐analyses in Cochrane Pregnancy and Childbirth reviews with multiple binary outcomes
por: Price, Malcolm J., et al.
Publicado: (2019)

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

Integrating binary traits with quantitative phenotypes for association mapping of multivariate phenotypes
por: Mukhopadhyay, Indranil, et al.
Publicado: (2011)

Protocol for a systematic review of prognostic models for the recurrence of venous thromboembolism (VTE) following treatment for a first unprovoked VTE
por: Ensor, Joie, et al.
Publicado: (2013)

Challenges in the development of prognostic models utilising clinical trials data
por: Snell, Kym, et al.
Publicado: (2013)

Predictors of outcome in sciatica patients following an epidural steroid injection: the POiSE prospective observational cohort study protocol
por: Stynes, Siobhan, et al.
Publicado: (2023)

Persistent sex disparities in clinical outcomes with percutaneous coronary intervention: Insights from 6.6 million PCI procedures in the United States
por: Potts, Jessica, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_co1td3s1hibshqib40pk43d5nk