Cover Image

Double Robust Variance Estimation with Parametric Working Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shook-Sa, Bonnie E., Zivich, Paul N., Lee, Chanhwa, Xue, Keyi, Ross, Rachael K., Edwards, Jessie K., Stringer, Jeffrey S. A., Cole, Stephen R.
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
by: Zivich, Paul N, et al.
Published: (2025)

Empirical sandwich variance estimator for iterated conditional expectation g-computation
by: Zivich, Paul N, et al.
Published: (2023)

Estimating equations for survival analysis with pooled logistic regression
by: Zivich, Paul N, et al.
Published: (2025)

Empirical Sandwich Variance Estimator for Iterated Conditional Expectation g‐Computation
by: Paul N. Zivich, et al.
Published: (2024)

Synthesis estimators for positivity violations with a continuous covariate
by: Zivich, Paul N, et al.
Published: (2023)

Transportability without positivity: a synthesis of statistical and simulation modeling
by: Zivich, Paul N, et al.
Published: (2023)

Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
by: DeMonte, Justin B., et al.
Published: (2024)

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)
by: Renson, Audrey, et al.
Published: (2025)

Fast approximate Bayesian inference of HIV indicators using PCA adaptive Gauss-Hermite quadrature
by: Howes, Adam, et al.
Published: (2025)

Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)

Asymptotics of numerical integration for two-level mixed models
by: Stringer, Alex, et al.
Published: (2022)

A Direct Variance Estimation (DiVE) for Meta-Analysis of Median Differences
by: Okuda, Tadahisa, et al.
Published: (2026)

Beyond the Beta Lorenz Curve: A New Parametric Family for Poverty and Inequality Estimation
by: Sarabia, José María, et al.
Published: (2026)

Flexible Estimation of the Heterogeneous Non-Parametric Component in a Relative Survival Cure Model
by: Di Mari, Fabrizio, et al.
Published: (2025)

Robust and Computationally Efficient Trimmed L-Moments Estimation for Parametric Distributions
by: Poudyal, Chudamani, et al.
Published: (2025)

A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026)

Effective Degrees of Freedom for Balanced Repeated Replication and Paired Jackknife Variance Estimates: A Unified Approach via Stratum Contrasts
by: von Davier, Matthias
Published: (2026)

Robust Genomic Prediction and Heritability Estimation using Density Power Divergence
by: Chowdhury, Upama Paul, et al.
Published: (2024)

Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
by: Zivich, Paul N, et al.
Published: (2025)

Targeted Parameter Estimation for Robust Empirical Bayes Ranking
by: Henderson, Nicholas C., et al.
Published: (2025)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
by: McGowan, Lucy D'Agostino
Published: (2025)

Robust Liu-Type Estimation for Multicollinearity in Fuzzy Logistic Regression
by: Shemail, Ayad Habib, et al.
Published: (2025)

Parametric model for post-processing visibility ensemble forecasts
by: Baran, Ágnes, et al.
Published: (2023)

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
by: Lotspeich, Sarah C., et al.
Published: (2025)

Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
by: Vazquez, Jesus E., et al.
Published: (2025)

Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
by: Tian, Haodong, et al.
Published: (2024)

Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
by: Kunke, Jessica P., et al.
Published: (2023)

Robust and Efficient Estimation in Ordinal Response Models using the Density Power Divergence
by: Pyne, Arijit, et al.
Published: (2022)

Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
by: Itaya, Yuki, et al.
Published: (2025)

Noise-Robust Phase Connectivity Estimation via Bayesian Circular Functional Models
by: Sugasawa, Shonosuke, et al.
Published: (2025)

[Invited Discussion] Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
by: Phillips, Rachael V., et al.
Published: (2024)

Zero Variance Portfolio
by: Chang, Jinyuan, et al.
Published: (2026)

R2 priors for Grouped Variance Decomposition in High-dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)

An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
by: Qiu, Sky, et al.
Published: (2025)

Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)

Performance of Cross-Validated Targeted Maximum Likelihood Estimation
by: Smith, Matthew J., et al.
Published: (2024)

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)

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