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An alternative empirical likelihood method in missing response problems and causal inference

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What this work says

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

inferredcites →https://doi.org/10.1002/9781119013563openalex-snapshot

Statistical Analysis with Missing Data

inferredcites →https://doi.org/10.1002/sim.1903openalex-snapshot

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

inferredcites →https://doi.org/10.1016/j.jash.2015.03.120openalex-snapshot

Cigarette smoking and cardio-renal events in patients with atherosclerotic renal artery stenosis

inferredcites →https://doi.org/10.1023/a:1020371312283openalex-snapshot

Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization

inferredcites →https://doi.org/10.1046/j.1523-1755.1998.00067.xopenalex-snapshot

Smoking as a risk factor for end-stage renal failure in men with primary renal disease

inferredcites →https://doi.org/10.1056/nejmoa1310753openalex-snapshot

Stenting and Medical Therapy for Atherosclerotic Renal-Artery Stenosis

inferredcites →https://doi.org/10.1080/00949655.2010.516750openalex-snapshot

A comparative study of doubly robust estimators of the mean with missing data

inferredcites →https://doi.org/10.1080/01621459.1952.10483446openalex-snapshot

A Generalization of Sampling Without Replacement From a Finite Universe

inferredcites →https://doi.org/10.1080/01621459.1984.10478078openalex-snapshot

Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

inferredcites →https://doi.org/10.1080/01621459.1994.10476818openalex-snapshot

Estimation of Regression Coefficients When Some Regressors Are Not Always Observed

inferredcites →https://doi.org/10.1080/01621459.1995.10476493openalex-snapshot

Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data

inferredcites →https://doi.org/10.1080/01621459.1995.10476494openalex-snapshot

Semiparametric Efficiency in Multivariate Regression Models with Missing Data

inferredcites →https://doi.org/10.1080/07474938.2013.808490openalex-snapshot

Empirical Likelihood in Causal Inference

inferredcites →https://doi.org/10.1093/aje/kwj173openalex-snapshot

The Association among Smoking, Heavy Drinking, and Chronic Kidney Disease

inferredcites →https://doi.org/10.1093/biomet/70.1.41openalex-snapshot

The central role of the propensity score in observational studies for causal effects

inferredcites →https://doi.org/10.1093/biomet/75.2.237openalex-snapshot

Empirical Likelihood Ratio Confidence Intervals for a Single Functional

inferredcites →https://doi.org/10.1093/biomet/asp033openalex-snapshot

Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

inferredcites →https://doi.org/10.1093/biomet/ass087openalex-snapshot

Estimation with missing data: beyond double robustness

inferredcites →https://doi.org/10.1097/maj.0b013e3181f6e3bfopenalex-snapshot

Environmental Tobacco Smoke Furthers Progression of Diabetic Nephropathy

inferredcites →https://doi.org/10.1111/1468-0262.00442openalex-snapshot

Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

inferredcites →https://doi.org/10.1111/j.1365-2796.1990.tb00204.xopenalex-snapshot

A study of patients with diabetes mellitus (type 1) and end‐stage renal failure: tobacco usage may increase risk of nephropathy and death

inferredcites →https://doi.org/10.1111/j.1467-9868.2007.00579.xopenalex-snapshot

Empirical-Likelihood-Based Inference in Missing Response Problems and Its Application in Observational Studies

inferredcites →https://doi.org/10.1111/j.1541-0420.2005.00377.xopenalex-snapshot

Doubly Robust Estimation in Missing Data and Causal Inference Models

inferredcites →https://doi.org/10.1198/016214506000000023openalex-snapshot

A Distributional Approach for Causal Inference Using Propensity Scores

inferredcites →https://doi.org/10.1198/016214508000000238openalex-snapshot

Efficient and Doubly Robust Imputation for Covariate-Dependent Missing Responses

inferredcites →https://doi.org/10.1201/9781420036152openalex-snapshot

Empirical Likelihood

inferredcites →https://doi.org/10.1214/07-sts227openalex-snapshot

Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

inferredcites →https://doi.org/10.1214/aos/1176325370openalex-snapshot

Empirical Likelihood and General Estimating Equations

inferredcites →https://doi.org/10.1214/aos/1176345802openalex-snapshot

Nonparametric Estimation in the Presence of Length Bias

inferredcites →https://doi.org/10.1214/aos/1176346585openalex-snapshot

Empirical Distributions in Selection Bias Models

inferredcites →https://doi.org/10.1214/aos/1176347494openalex-snapshot

Empirical Likelihood Ratio Confidence Regions

inferredcites →https://doi.org/10.2307/1912004openalex-snapshot

Maximum Likelihood Estimation of Misspecified Models

inferredcites →https://doi.org/10.2307/1912526openalex-snapshot

Maximum Likelihood Estimation of Misspecified Models

inferredcites →https://doi.org/10.2307/2288398openalex-snapshot

Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

inferredcites →https://doi.org/10.2307/2683903openalex-snapshot

Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score

inferredcites →https://doi.org/10.2307/2998560openalex-snapshot

On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4783806openalex-extracted

Distribution-Type Index for Causal Inference

inferred← citeshttps://doi.org/10.1007/s00362-024-01553-1openalex-snapshot

Statistical inferences for missing response problems based on modified empirical likelihood

inferred← citeshttps://doi.org/10.1016/j.conengprac.2018.08.015openalex-snapshot

A joint scheduling method for multiple byproduct gases in steel industry

inferred← citeshttps://doi.org/10.1016/j.ins.2020.06.063openalex-snapshot

A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry

inferred← citeshttps://doi.org/10.1109/tase.2020.2969436openalex-snapshot

Granular-Causality-Based Byproduct Energy Scheduling for Energy-Intensive Enterprise

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