:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Shanshan, Diao, Guoqing
Formato:	Preprint
Publicado:	2026
Materias:	Methodology
Acceso en línea:	https://arxiv.org/abs/2602.19220
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Desirability of outcome ranking (DOOR) analysis for multivariate survival outcomes with application to ACTT-1 trial
por: Shu, Shiyu, et al.
Publicado: (2025)

A new approach to reliability assessment based on Exploratory factor analysis
por: Diao, Shibo
Publicado: (2025)

On Cluster Randomized Trials with the Desirability of Outcome Ranking (DOOR) Endpoints
por: Shao, Wanying, et al.
Publicado: (2026)

Statistical method for pooling categorical biomarkers from multi-center matched/nested case-control studies
por: Wu, Yujie, et al.
Publicado: (2025)

Tilted sensitivity analysis in matched observational studies
por: Fogarty, Colin B.
Publicado: (2025)

A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
por: Liu, Yixuan, et al.
Publicado: (2023)

Maximum softly penalised likelihood in factor analysis
por: Sterzinger, Philipp, et al.
Publicado: (2025)

A unified approach to penalized likelihood estimation of covariance matrices in high dimensions
por: Cibinel, Luca, et al.
Publicado: (2024)

The multirank likelihood for semiparametric canonical correlation analysis
por: Bryan, Jordan G., et al.
Publicado: (2021)

Learned harmonic mean estimation of the marginal likelihood for multimodal posteriors with flow matching
por: Polanska, Alicja, et al.
Publicado: (2026)

A mirror descent approach to maximum likelihood estimation in latent variable models
por: Crucinio, Francesca R.
Publicado: (2025)

Bidirectional causal inference for binary outcomes in the presence of unmeasured confounding
por: Deng, Yafang, et al.
Publicado: (2026)

Doubly Robust Estimation of Desirability of Outcome Ranking (DOOR) Probability with Application to MDRO Studies
por: Shu, Shiyu, et al.
Publicado: (2026)

Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
por: Li, Mengke, et al.
Publicado: (2025)

A fully Bayesian approach for the imputation and analysis of derived outcome variables with missingness
por: Campbell, Harlan, et al.
Publicado: (2024)

Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
por: Hu, Taojun, et al.
Publicado: (2024)

Maximum multinomial likelihood estimation in compound mixture model with application to malaria study
por: Tian, Zhaoyang, et al.
Publicado: (2025)

A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
por: Min, Jiaqi, et al.
Publicado: (2025)

Multiway empirical likelihood
por: Chiang, Harold D, et al.
Publicado: (2021)

A unified analysis of likelihood-based estimators in the Plackett--Luce model
por: Han, Ruijian, et al.
Publicado: (2023)

Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach
por: Brusa, Luca, et al.
Publicado: (2025)

Dynamic likelihood hazard rate estimation
por: Hjort, Nils Lid
Publicado: (2026)

Hybrid combinations of parametric and empirical likelihoods
por: Hjort, Nils Lid, et al.
Publicado: (2026)

A Bayesian likely responder approach for the analysis of randomized controlled trials
por: Deng, Annan, et al.
Publicado: (2025)

Green's matching: an efficient approach to parameter estimation in complex dynamic systems
por: Tan, Jianbin, et al.
Publicado: (2024)

Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach
por: Li, Jinqing, et al.
Publicado: (2024)

A scale of interpretation for likelihood ratios and Bayes factors
por: Dudbridge, Frank
Publicado: (2022)

A maximum penalised likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring
por: Bhaskaran, Aishwarya, et al.
Publicado: (2024)

Adaptive discovery of effect modification in matched observational studies
por: Gui, Yu, et al.
Publicado: (2026)

Penalized empirical likelihood estimation and EM algorithms for closed-population capture-recapture models
por: Liu, Yang, et al.
Publicado: (2022)

On the estimation of inclusion probabilities for weighted analyses of nested case control studies
por: López-Nieto-Veitch, Tomeu, et al.
Publicado: (2026)

Robust model selection using likelihood as data
por: Choi, Jongwoo, et al.
Publicado: (2026)

Poisson approximate likelihood compared to the particle filter
por: Hao, Yize, et al.
Publicado: (2024)

Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data
por: Liu, Yang, et al.
Publicado: (2025)

Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
por: Dang, Lauren Eyler, et al.
Publicado: (2022)

Synthetic likelihood in misspecified models
por: Frazier, David T., et al.
Publicado: (2021)

Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis
por: Phillippo, David M., et al.
Publicado: (2024)

Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
por: Liu, Yang, et al.
Publicado: (2025)

Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random
por: Liu, Yang, et al.
Publicado: (2025)

Detecting and diagnosing prior and likelihood sensitivity with power-scaling
por: Kallioinen, Noa, et al.
Publicado: (2021)