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Interval estimation of population means under unknown but bounded probabilities of sample selection

https://doi.org/10.1093/biomet/ass064
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4419-5825-9_24openalex-snapshot
An Essay on the Logical Foundations of Survey Sampling, Part One*
inferredcites →https://doi.org/10.1007/978-1-4612-1284-3_1openalex-snapshot
Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models
inferredcites →https://doi.org/10.1007/978-1-4614-1412-4_97openalex-snapshot
Elements of Large-Sample Theory
inferredcites →https://doi.org/10.1007/b97478openalex-snapshot
Partial Identification of Probability Distributions
inferredcites →https://doi.org/10.1007/springerreference_205629openalex-snapshot
Statistical Methods in Epidemiology
inferredcites →https://doi.org/10.1080/01621459.1979.10481053openalex-snapshot
A Class of Robust Sampling Designs for Large-Scale Surveys
inferredcites →https://doi.org/10.1093/biomet/63.3.615openalex-snapshot
Some Results on Generalized Difference Estimation and Generalized Regression Estimation for Finite Populations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Double Sampling for Missing Outcome Data in Randomized Experiments
inferred← citeshttps://doi.org/10.1017/pan.2016.6openalex-snapshot
Combining Double Sampling and Bounds to Address Nonignorable Missing Outcomes in Randomized Experiments
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Collider bias undermines our understanding of COVID-19 disease risk and severity
inferred← citeshttps://doi.org/10.1080/01621459.2022.2069572openalex-snapshot
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing
inferred← citeshttps://doi.org/10.1080/01621459.2025.2526700openalex-snapshot
Design-Based Uncertainty for Quasi-Experiments
inferred← citeshttps://doi.org/10.1080/10618600.2025.2573156openalex-snapshot
Optimization-Based Sensitivity Analysis for Unmeasured Confounding Using Partial Correlations
inferred← citeshttps://doi.org/10.1093/aje/kwae011openalex-snapshot
Missing data and missed infections: investigating racial and ethnic disparities in SARS-CoV-2 testing and infection rates in Holyoke, Massachusetts
inferred← citeshttps://doi.org/10.1093/biomet/asac042openalex-snapshot
Sample-constrained partial identification with application to selection bias
inferred← citeshttps://doi.org/10.1093/biomet/asae040openalex-snapshot
Variance-based sensitivity analysis for weighting estimators results in more informative bounds
inferred← citeshttps://doi.org/10.1093/biomet/asx077openalex-snapshot
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
inferred← citeshttps://doi.org/10.1093/biomtc/ujaf013openalex-snapshot
Addressing selection bias in cluster randomized experiments via weighting
inferred← citeshttps://doi.org/10.1093/jrsssb/qkae034openalex-snapshot
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation
inferred← citeshttps://doi.org/10.1111/biom.13741openalex-snapshot
Testing Weak Nulls in Matched Observational Studies
inferred← citeshttps://doi.org/10.1111/rssb.12327openalex-snapshot
Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap
inferred← citeshttps://doi.org/10.1111/sjos.70060openalex-snapshot
Sensitivity analysis for generalized estimating equation with non‐ignorable missing data
inferred← citeshttps://doi.org/10.11648/j.ajtas.20140303.12openalex-snapshot
Estimation of Population Mean Under Unequal Probability Sampling with Unknown Selection Probabilities
inferred← citeshttps://doi.org/10.1214/22-aos2195openalex-snapshot
Bounds on the conditional and average treatment effect with unobserved confounding factors
inferred← citeshttps://doi.org/10.2139/ssrn.5350921openalex-snapshot
Online Decisions with (Biased) Offline Data
inferred← citeshttps://doi.org/10.36095/banxico/di.2014.04openalex-snapshot
Predictive Inference on Finite Populations Segmented in Planned and Unplanned Domains
inferred← citeshttps://doi.org/10.48550/arxiv.1711.11286openalex-snapshot
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
inferred← citeshttps://doi.org/10.48550/arxiv.1805.08593openalex-snapshot
Confounding-Robust Policy Improvement
inferred← citeshttps://doi.org/10.48550/arxiv.2112.01387openalex-snapshot
Generalizing Off-Policy Learning under Sample Selection Bias
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