Cover Image

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Williamson, Brian D., Moodie, Erica E. M., Simon, Gregory E., Rossom, Rebecca C., Shortreed, Susan M.
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A general framework for inference on algorithm-agnostic variable importance
by: Williamson, Brian D., et al.
Published: (2020)

Generalised Bayes Linear Inference
by: Astfalck, Lachlan, et al.
Published: (2024)

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables
by: Maleyeff, Lara, et al.
Published: (2024)

Generalized network autoregressive modelling of longitudinal networks with application to presidential elections in the USA
by: Nason, Guy, et al.
Published: (2025)

Personalized Treatment Hierarchies in Bayesian Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)

Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)

Evaluation of the npde performance for the evaluation of joint model with longitudinal and TTE data: an application in metastatic hormono-resistant prostate cancer
by: Cerou, Marc, et al.
Published: (2026)

Joint mixed-effects models for causal inference in clustered network-based observational studies
by: McNealis, Vanessa, et al.
Published: (2024)

Hierarchical biomarker thresholding: a model-agnostic framework for stability
by: Debeaupuis, O.
Published: (2025)

Fiducial inference for partially identified parameters with applications to instrumental variable models
by: Cui, Yifan, et al.
Published: (2025)

Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
by: Runjia Zou, et al.
Published: (2026)

On importance sampling and independent Metropolis-Hastings with an unbounded weight function
by: Deligiannidis, George, et al.
Published: (2024)

On self-training of summary data with genetic applications
by: Su, Buxin, et al.
Published: (2025)

A Bayesian adaptive enrichment design using aggregate historical data to inform individualized treatment recommendations
by: Maleyeff, Lara, et al.
Published: (2026)

Robust Max Statistics for High-Dimensional Inference
by: Liu, Mingshuo, et al.
Published: (2024)

Sparse two-stage Bayesian meta-analysis for individualized treatments
by: Shen, Junwei, et al.
Published: (2024)

fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
by: Maleyeff, Lara, et al.
Published: (2025)

Dimension-agnostic inference using cross U-statistics
by: Kim, Ilmun, et al.
Published: (2020)

Information Borrowing from Partially Compatible Trajectories for Estimation of Dynamic Treatment Regimes
by: Si, Chloe, et al.
Published: (2025)

Revisiting the Effects of Maternal Education on Adolescents' Academic Performance: Doubly Robust Estimation in a Network-Based Observational Study
by: McNealis, Vanessa, et al.
Published: (2023)

Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024)

Model-agnostic information transfer and fusion for classification with label noise
by: Guojun, Zhu, et al.
Published: (2026)

Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments
by: Arsenteva, Polina, et al.
Published: (2024)

Robust variable selection for partially linear additive models
by: Boente, Graciela, et al.
Published: (2024)

Inference in generalized linear models with robustness to misspecified variances
by: De Santis, Riccardo, et al.
Published: (2022)

A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
by: Spearing, Jess, et al.
Published: (2023)

A Simple Diagnostic for the Positivity Assumption for Continuous Exposures
by: Erica E. M. Moodie, et al.
Published: (2025)

Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)

Studying continuous, time-varying, and/or complex exposures using longitudinal modified treatment policies
by: Hoffman, Katherine L., et al.
Published: (2023)

Further Inference on Categorical Data -- A Bayesian Approach
by: Pal, Samyajoy, et al.
Published: (2020)

Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)

It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
by: Jin, Jikai, et al.
Published: (2025)

Valid model-free spatial prediction
by: Mao, Huiying, et al.
Published: (2020)

Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
by: Liu, Zongge, et al.
Published: (2024)

Comparison of Parametric versus Machine-learning Multiple Imputation in Clinical Trials with Missing Continuous Outcomes
by: Tackney, Mia S., et al.
Published: (2025)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)

Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation
by: Hoef, Jay M. Ver, et al.
Published: (2023)

Individualized treatment regimens under correlated data with multiple outcomes
by: Dolmatov, Misha, et al.
Published: (2025)

Permutation Inference for Canonical Correlation Analysis
by: Winkler, Anderson M., et al.
Published: (2020)

Modelling physical activity profiles in COPD patients: a fully functional approach to variable domain functional regression models
by: Hernandez-Amaro, Pavel, et al.
Published: (2024)