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Inference for Instrumental Variables: A Randomization Inference Approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Testing Statistical Hypotheses
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Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
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Bias in causal estimates from Mendelian randomization studies with weak instruments
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Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes
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Instrumental variable methods for causal inference
inferredcites →https://doi.org/10.1002/sim.6227openalex-snapshot
Using an instrumental variable to test for unmeasured confounding
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Applied Econometrics with R
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Elements of Large-Sample Theory
inferredcites →https://doi.org/10.1007/s10742-012-0091-0openalex-snapshot
Near/far matching: a study design approach to instrumental variables
inferredcites →https://doi.org/10.1016/s0304-4076(02)00219-1openalex-snapshot
Bayesian and classical approaches to instrumental variable regression
inferredcites →https://doi.org/10.1017/cbo9781139025751openalex-snapshot
Causal Inference for Statistics, Social, and Biomedical Sciences
inferredcites →https://doi.org/10.1017/s0003055410000109openalex-snapshot
Estimating the Electoral Effects of Voter Turnout
inferredcites →https://doi.org/10.1080/00031305.2014.962764openalex-snapshot
Dissonant Conclusions When Testing the Validity of an Instrumental Variable
inferredcites →https://doi.org/10.1080/01621459.1995.10476535openalex-snapshot
Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity
inferredcites →https://doi.org/10.1080/01621459.1996.10476902openalex-snapshot
Identification of Causal Effects Using Instrumental Variables
inferredcites →https://doi.org/10.1080/17457289.2012.728223openalex-snapshot
Field Experiments and the Study of Voter Turnout
inferredcites →https://doi.org/10.1093/biomet/88.1.219openalex-snapshot
Effects attributable to treatment: Inference in experiments and observational studies with a discrete pivot
inferredcites →https://doi.org/10.1093/ije/dyg070openalex-snapshot
‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*
inferredcites →https://doi.org/10.1093/ije/dyh132openalex-snapshot
Mendelian randomization: prospects, potentials, and limitations
inferredcites →https://doi.org/10.1093/ije/dyq151openalex-snapshot
Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
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Avoiding bias from weak instruments in Mendelian randomization studies
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Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic
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Instruments for Causal Inference
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Using Quantile Averages in Matched Observational Studies
inferredcites →https://doi.org/10.1111/1468-0262.00353openalex-snapshot
Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression
inferredcites →https://doi.org/10.1111/1468-0262.00438openalex-snapshot
A Conditional Likelihood Ratio Test for Structural Models
inferredcites →https://doi.org/10.1111/1468-2508.t01-1-00126openalex-snapshot
Getting Out the Vote in Local Elections: Results from Six Door-to-Door Canvassing Experiments
inferredcites →https://doi.org/10.1111/j.1467-985x.2004.00339.xopenalex-snapshot
Robust, Accurate Confidence Intervals with a Weak Instrument: Quarter of Birth and Education
inferredcites →https://doi.org/10.1111/j.2517-6161.1954.tb00159.xopenalex-snapshot
Some Problems in Interval Estimation
inferredcites →https://doi.org/10.1111/rssa.12209openalex-snapshot
Randomization-based Instrumental Variables methods for Binary outcomes with an Application to the ‘IMPROVE’ trial
inferredcites →https://doi.org/10.1111/rssb.12124openalex-snapshot
Randomization Inference for Treatment Effect Variation
inferredcites →https://doi.org/10.1162/003465398557203openalex-snapshot
Accounting for Dropouts in Evaluations of Social Programs
inferredcites →https://doi.org/10.1162/rest.88.3.389openalex-snapshot
Understanding Instrumental Variables in Models with Essential Heterogeneity
inferredcites →https://doi.org/10.1177/0193841x8400800205openalex-snapshot
Accounting for No-Shows in Experimental Evaluation Designs
inferredcites →https://doi.org/10.1177/0962280215597579openalex-snapshot
A review of instrumental variable estimators for Mendelian randomization
inferredcites →https://doi.org/10.1198/0003130031405openalex-snapshot
Exact Confidence Intervals for Nonconstant Effects by Inverting the Signed Rank Test
inferredcites →https://doi.org/10.1198/073500102288618658openalex-snapshot
A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
inferredcites →https://doi.org/10.1198/jasa.2009.ap06589openalex-snapshot
Attributing Effects to a Cluster-Randomized Get-Out-the-Vote Campaign
inferredcites →https://doi.org/10.1198/jasa.2010.ap09490openalex-snapshot
Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
inferredcites →https://doi.org/10.1198/jasa.2011.tm10356openalex-snapshot
Randomization-Based Inference Within Principal Strata
inferredcites →https://doi.org/10.1214/14-sts480openalex-snapshot
Instrumental Variables: An Econometrician's Perspective
inferredcites →https://doi.org/10.1214/14-sts491openalex-snapshot
Think Globally, Act Globally: An Epidemiologist’s Perspective on Instrumental Variable Estimation
inferredcites →https://doi.org/10.1214/15-aoas894openalex-snapshot
Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting
inferredcites →https://doi.org/10.1214/16-aoas932openalex-snapshot
How strong is strong enough? Strengthening instruments through matching and weak instrument tests
inferredcites →https://doi.org/10.1214/aoms/1177730090openalex-snapshot
Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
inferredcites →https://doi.org/10.1214/aoms/1177731868openalex-snapshot
The Fitting of Straight Lines if Both Variables are Subject to Error
inferredcites →https://doi.org/10.1257/jel.48.2.399openalex-snapshot
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)
inferredcites →https://doi.org/10.1257/jel.48.2.424openalex-snapshot
Instruments, Randomization, and Learning about Development
inferredcites →https://doi.org/10.1257/jep.15.4.69openalex-snapshot
Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments
inferredcites →https://doi.org/10.2139/ssrn.281433openalex-snapshot
Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments
inferredcites →https://doi.org/10.2307/2171740openalex-snapshot
Some Impossibility Theorems in Econometrics With Applications to Structural and Dynamic Models
inferredcites →https://doi.org/10.2307/2171753openalex-snapshot
Instrumental Variables Regression with Weak Instruments
inferredcites →https://doi.org/10.2307/2286308openalex-snapshot
Nonparametrics: Statistical Methods Based on Ranks.
inferredcites →https://doi.org/10.2307/2287653openalex-snapshot
Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment
inferredcites →https://doi.org/10.2307/2291055openalex-snapshot
Problems with Instrumental Variables Estimation When the Correlation Between the Instruments and the Endogeneous Explanatory Variable is Weak
inferredcites →https://doi.org/10.2307/2291630openalex-snapshot
Identification of Causal Effects Using Instrumental Variables: Comment
inferredcites →https://doi.org/10.2307/2527355openalex-snapshot
Valid Confidence Intervals and Inference in the Presence of Weak Instruments
inferredcites →https://doi.org/10.2307/2938359openalex-snapshot
Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator
inferredcites →https://doi.org/10.2307/2951620openalex-snapshot
Identification and Estimation of Local Average Treatment Effects
inferredcites →https://doi.org/10.2307/2999621openalex-snapshot
Inference on Structural Parameters in Instrumental Variables Regression with Weak Instruments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Design-Based Covariate Adjustment for Causal Inference with Interference and Noncompliance
inferred← citeshttps://doi.org/10.2139/ssrn.4832234openalex-extracted
Instrumental Variables with Multiple Time Periods
inferred← citeshttps://doi.org/10.1002/sim.9861openalex-snapshot
A guide to regression discontinuity designs in medical applications
inferred← citeshttps://doi.org/10.1007/978-3-030-46405-9_5openalex-snapshot
Opportunities, Devices, and Instruments
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A nonparametric binomial likelihood approach for causal inference in instrumental variable models
inferred← citeshttps://doi.org/10.1080/01621459.2021.1978468openalex-snapshot
Noncompliance and Instrumental Variables for 2 K Factorial Experiments
inferred← citeshttps://doi.org/10.1080/01621459.2025.2526700openalex-snapshot
Design-Based Uncertainty for Quasi-Experiments
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Model-Assisted Complier Average Treatment Effect Estimates in Randomized Experiments with Noncompliance
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Integrating multi-omics summary data using a Mendelian randomization framework
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Randomization-based confidence sets for the local average treatment effect
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Instrumental variables: to strengthen or not to strengthen?
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Improving instrumental variable estimators with poststratification
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Randomization inference for before-and-after studies with multiple units: an application to a criminal procedure reform in Uruguay
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Association of Obesity with Health Care Costs: A Mendelian Randomization study
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Prediction of the Impact of Mobile Payments on the Consumption of Individual Nodes on Communication Networks
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Stronger Instruments and Refined Covariate Balance in an Observational Study of the Effectiveness of Prompt Admission to Intensive Care Units
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Finding the Strength in a Weak Instrument in a Study of Cognitive Outcomes Produced by Catholic High Schools
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Application of Mendelian Randomization to Investigate the Association of Body Mass Index with Health Care Costs
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Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon health insurance experiment
inferred← citeshttps://doi.org/10.1214/22-aoas1691openalex-snapshot
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets
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Summarizing causal differences in survival curves in the presence of unmeasured confounding
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Estimation Methods for Cluster Randomized Trials with Noncompliance: A Study of A Biometric Smartcard Payment System in India
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Detecting Heterogeneous Treatment Effect with Instrumental Variables
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