Image de couverture de livre

Calibrated sensitivity models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	McClean, Alec, Branson, Zach, Kennedy, Edward H.
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stochastic interventions, sensitivity analysis, and optimal transport
par: Levis, Alexander W., et autres
Publié: (2024)

Propensity score weighting across counterfactual worlds: longitudinal effects under positivity violations
par: McClean, Alec, et autres
Publié: (2025)

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
par: McClean, Alec, et autres
Publié: (2024)

Non-overlap Average Treatment Effect Bounds
par: Susmann, Herbert P., et autres
Publié: (2025)

Incremental Propensity Score Effects for Criminology: An Application Assessing the Relationship Between Homelessness, Behavioral Health Problems, and Recidivism
par: Jacobs, Leah A., et autres
Publié: (2023)

Longitudinal weighted and trimmed treatment effects with flip interventions
par: McClean, Alec, et autres
Publié: (2025)

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
par: Branson, Zach, et autres
Publié: (2023)

A Unified Framework for Rerandomization using Quadratic Forms
par: Schindl, Kyle, et autres
Publié: (2024)

Comparing causal parameters with many treatments and positivity violations
par: McClean, Alec, et autres
Publié: (2024)

Does Rerandomization Help Beyond Covariate Adjustment? A Review and Guide for Theory and Practice
par: Junior, Antônio Carlos Herling Ribeiro, et autres
Publié: (2025)

Estimating the number of household TV profiles based in customer behaviour using Gaussian mixture model averaging
par: Palma, Gabriel R., et autres
Publié: (2025)

Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins
par: Levis, Alex W., et autres
Publié: (2025)

Semiparametric sensitivity analysis: unmeasured confounding in observational studies
par: Nabi, Razieh, et autres
Publié: (2021)

Nivel II : El Uso de Tecnología UV para Controlar la Legionela en los Puntos de Atracción de Agua
par: McClean, J
Publié: (2008)

Fast convergence rates for dose-response estimation
par: Bonvini, Matteo, et autres
Publié: (2022)

Doubly-robust inference and optimality in structure-agnostic models with smoothness
par: Bonvini, Matteo, et autres
Publié: (2024)

Counterfactual Density Estimation using Kernel Stein Discrepancies
par: Martinez-Taboada, Diego, et autres
Publié: (2023)

Sensitivity analysis for incremental effects, with application to a study of victimization & offending
par: Shen, Shuying, et autres
Publié: (2026)

Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method
par: Baitairian, Jean-Baptiste, et autres
Publié: (2025)

Digitization of Full-Text Documents Before Publishing on the Internet: A Case Study Reviewing the Latest Optical Character Recognition Technologies.
par: McClean, Clare M.
Publié: (1998)

Nonparametric identification and efficient estimation of causal effects with instrumental variables
par: Levis, Alexander W., et autres
Publié: (2024)

Dynamic quantification of player value for fantasy basketball
par: Rosenof, Zach
Publié: (2024)

Structural Nested Mean Models for Modified Treatment Policies
par: Shahn, Zach
Publié: (2025)

Optimizing for Rotisserie Fantasy Basketball
par: Rosenof, Zach
Publié: (2025)

Improving Algorithms for Fantasy Basketball
par: Rosenof, Zach
Publié: (2023)

Intervention effects based on potential benefit
par: Levis, Alexander W., et autres
Publié: (2024)

Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
par: Rubio, Mateo Dulce, et autres
Publié: (2024)

Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
par: Rubio, Mateo Dulce, et autres
Publié: (2026)

Incremental effects for continuous exposures
par: Schindl, Kyle, et autres
Publié: (2024)

Causal K-Means Clustering
par: Kim, Kwangho, et autres
Publié: (2024)

On the Equivalence between Neyman Orthogonality and Pathwise Differentiability
par: Chen, Yuxi, et autres
Publié: (2026)

Causal effects based on distributional distances
par: Kim, Kwangho, et autres
Publié: (2018)

Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
par: Waudby-Smith, Ian, et autres
Publié: (2023)

Causal Inference with High-Dimensional Treatments
par: Kramer, Patrick, et autres
Publié: (2026)

Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
par: Testa, Lorenzo, et autres
Publié: (2025)

Efficient Generalization and Transportation
par: Zeng, Zhenghao, et autres
Publié: (2023)

Generalizing Difference-in-Differences to Non-Canonical Settings: Identifying an Array of Estimands
par: Shahn, Zach, et autres
Publié: (2024)

Identification and Estimation of Joint Potential Outcome Distributions from a Single Study
par: Shahn, Zach, et autres
Publié: (2025)

Causal Inference with High-dimensional Discrete Covariates
par: Zeng, Zhenghao, et autres
Publié: (2024)

The Fundamental Limits of Structure-Agnostic Functional Estimation
par: Balakrishnan, Sivaraman, et autres
Publié: (2023)