Buchumschlag

Neutral Pivoting: Strong Bias Correction for Shared Information

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Rilling, Joseph
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Applications Methodology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Skewed Pivot-Blend Modeling with Applications to Semicontinuous Outcomes
von: She, Yiyuan, et al.
Veröffentlicht: (2024)

Bias Mitigation in Matched Observational Studies with Continuous Treatments: Calipered Non-Bipartite Matching and Bias-Corrected Estimation and Inference
von: Frazier, Anthony, et al.
Veröffentlicht: (2024)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
von: Yang, Cheng-Han, et al.
Veröffentlicht: (2026)

Volatility Forecasting Using Similarity-based Parameter Correction and Aggregated Shock Information
von: Lundquist, David P., et al.
Veröffentlicht: (2024)

Bias reduction in g-computation for covariate adjustment in randomized clinical trials
von: Zhang, Xin, et al.
Veröffentlicht: (2025)

Bias in Meta-Analytic Modeling of Surrogate Endpoints in Cancer Screening Trials
von: Long, James P., et al.
Veröffentlicht: (2025)

Addressing Outcome Reporting Bias in Meta-analysis: A Selection Model Perspective
von: Saracini, Alessandra Gaia, et al.
Veröffentlicht: (2024)

Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials
von: Benz, Luke, et al.
Veröffentlicht: (2024)

Evaluating Bias Reduction Methods in Binary Emax Model for Reliable Dose-Response Estimation
von: Zhang, Jiangshan, et al.
Veröffentlicht: (2025)

Mediation Analysis in the Presence of Sample Selection Bias with an Application to Disparities in Liver Transplantation Listing
von: Khan, Zain, et al.
Veröffentlicht: (2025)

A comparison of the Alkire-Foster method and a Markov random field approach in the analysis of multidimensional poverty
von: Lam, Joseph
Veröffentlicht: (2025)

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study
von: Si, Yajuan, et al.
Veröffentlicht: (2022)

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
von: Chakrabarti, Arhit, et al.
Veröffentlicht: (2025)

Correcting inferences for volunteer-collected data with geospatial sampling bias
von: Lugtig, Peter, et al.
Veröffentlicht: (2022)

Sequential Methods for Error Correction of Probabilistic Wind Power Forecasts
von: Jørgensen, Bastian Schmidt, et al.
Veröffentlicht: (2025)

Bias reduction method for prior event rate ratio, with application to emergency department visit rates in patients with advanced cancer
von: Ma, Xiangmei, et al.
Veröffentlicht: (2025)

A Corrected Score Function Framework for Modelling Circadian Gene Expression
von: Gorczyca, Michael, et al.
Veröffentlicht: (2024)

A Utility Score Framework for Dose Optimization Studies with Binary Efficacy-Safety Endpoints: Sample Size Determination and Bias Characterization
von: Gu, Xuemin, et al.
Veröffentlicht: (2026)

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
von: Antonelli, Joseph, et al.
Veröffentlicht: (2024)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
von: Cheng, Chao, et al.
Veröffentlicht: (2023)

Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
von: Lotspeich, Sarah C., et al.
Veröffentlicht: (2026)

Causal inference and racial bias in policing: New estimands and the importance of mobility data
von: Huang, Zhuochao, et al.
Veröffentlicht: (2024)

A Metadata-Only Feature-Augmented Method Factor for Ex-Post Correction and Attribution of Common Method Variance
von: Yaslioglu, Murat
Veröffentlicht: (2025)

Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
von: Kendall, Emmett B., et al.
Veröffentlicht: (2021)

Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
von: Bartels, Christian, et al.
Veröffentlicht: (2024)

BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data
von: Shen, Yueqi, et al.
Veröffentlicht: (2024)

Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
von: Huang, Zhuochao, et al.
Veröffentlicht: (2026)

Prediction Inference Using Generalized Functional Mixed Effects Models
von: Zhou, Xinkai, et al.
Veröffentlicht: (2025)

Smooth and shape-constrained quantile distributed lag models
von: Jin, Yisen, et al.
Veröffentlicht: (2024)

Principal stratification with continuous treatments and continuous post-treatment variables
von: Antonelli, Joseph, et al.
Veröffentlicht: (2023)

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
von: Trangucci, Rob, et al.
Veröffentlicht: (2024)

Optimal Priors for the Discounting Parameter of the Normalized Power Prior
von: Shen, Yueqi, et al.
Veröffentlicht: (2023)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
von: Shin, Heejun, et al.
Veröffentlicht: (2024)

Confidence Intervals for Rate Estimation with Importance Sampling in Autonomous Vehicle Evaluation
von: Chen, Aiyou, et al.
Veröffentlicht: (2026)

Asymptotic Expansion and Bounds for the Bias of Empirical Tail Value-at-Risk
von: Gribkova, Nadezhda, et al.
Veröffentlicht: (2026)

Cure Rate Joint Model for Time-to-Event Data and Longitudinal Tumor Burden with Potential Change Points
von: Qu, Yixiang, et al.
Veröffentlicht: (2025)

Advancing Information Integration through Empirical Likelihood: Selective Reviews and a New Idea
von: Chen, Chixiang, et al.
Veröffentlicht: (2024)

Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
von: Alt, Ethan M., et al.
Veröffentlicht: (2024)

Outcome-Assisted Multiple Imputation of Missing Treatments
von: Feldman, Joseph, et al.
Veröffentlicht: (2025)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
von: Teng, Wen, et al.
Veröffentlicht: (2024)