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Instrumental variable methods for causal inference.
A goal of many health studies is to determine the causal effect of a treatment or intervention on health outcomes. Often, it is not ethically or practically possible to conduct a perfectly randomizedExpand
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Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
Instrumental variables have been widely used for estimating the causal effect between exposure and outcome. Conventional estimation methods require complete knowledge about all the instruments’Expand
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A review of instrumental variable estimators for Mendelian randomization
TLDR
Instrumental variable analysis is an approach for obtaining causal inferences on the effect of an exposure (risk factor) on an outcome from observational data. Expand
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Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
An instrument is a random nudge toward acceptance of a treatment that affects outcomes only to the extent that it affects acceptance of the treatment. Nonetheless, in settings in which treatmentExpand
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Marginal regression analysis of longitudinal data with time-dependent covariates: a generalized method-of-moments approach
We develop a new approach to using estimating equations to estimate marginal regression models for longitudinal data with time-dependent covariates. Our approach classifies time-dependent covariatesExpand
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Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
Mendelian randomization (MR) is a method of exploiting genetic variation to unbiasedly estimate a causal effect in presence of unmeasured confounding. MR is being widely used in epidemiology andExpand
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Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffing.
The Affordable Care Act's Hospital Readmissions Reduction Program (HRRP) penalizes hospitals based on excess readmission rates among Medicare beneficiaries. The aim of the program is to reduceExpand
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Nonparametric methods for doubly robust estimation of continuous treatment effects.
Continuous treatments (e.g., doses) arise often in practice, but many available causal effect estimators are limited by either requiring parametric models for the effect curve, or by not allowingExpand
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Asthma Numeracy Skill and Health Literacy
To assess understanding of numerical concepts in asthma self-management instructions, a 4-item Asthma Numeracy Questionnaire (ANQ) was developed and read to 73 adults with persistent asthma.Expand
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Bounds on causal effects in three-arm trials with non-compliance
The paper considers the analysis of three-arm randomized trials with non-compliance. In these trials, the average causal effects of treatments within principal strata of compliance behaviour are ofExpand
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