Results 31 to 40 of about 151,292 (252)
Journal of Translational Medicine, 2022 Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors relating to human eye disease. While observational studies cannot avoid confounding factors from interventions, human eye composition and structure are unique, thus,
Jiaxin Li +7 more
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Instrumental Variables: An Econometrician's Perspective [PDF]
SSRN Electronic Journal, 2014 I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic, applications including supply and demand models and relate them to the recent applications in settings of randomized experiments with noncompliance.
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Two-stage least squares model averaging for instrumental variable models with exogenous variables
Statistical Theory and Related FieldsInstrumental variable (IV) methods are widely used to address unmeasured confoundings in structural equation models. In this paper, we focus on the settings where a possibly large number of instruments and a weak correlation between the instruments and ...
Wenjun Shen, Xiaochao Xia
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Heart Rate Variability Control Using a Biofeedback and Wearable System
Sensors, 2022 Heart rate variability is an important physiological parameter in medicine. This parameter is used as an indicator of physiological and psychological well-being and even of certain pathologies.
Eduardo Viera +2 more
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Causal Transmission in Reduced-Form Models
Econometrics, 2022 We propose a method to explore the causal transmission of an intervention through two endogenous variables of interest. We refer to the intervention as a catalyst variable.
Vassilios Bazinas, Bent Nielsen
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Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the methods of identifying causal effects based on instrumental variables， distinguishing different models with data， and using SAS software to realize calculation.
Hu Chunyan, Hu Liangping
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A New Matrix Statistic for the Hausman Endogeneity Test under Heteroskedasticity
Econometrics, 2023 We derive a new matrix statistic for the Hausman test for endogeneity in cross-sectional Instrumental Variables estimation, that incorporates heteroskedasticity in a natural way and does not use a generalized inverse.
Alecos Papadopoulos
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian +13 more
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Identifying instrumental variables for causal inference
Cogent Economics & FinanceWe propose a procedure for identifying instrumental variables to be used in causal analyses that can preclude the effects of unobserved confounders and reverse causality.
Fernando Moreira
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On the Estimation of Separable Demand Models
Journal of Agricultural and Resource Economics, 1993 Alternative stochastic specification of conditional demand models are considered. The results of LaFrance concerning the inconsistency of least squares are supported, but the class of models that allow standard instrumental variable estimation is ...
David L. Edgerton
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