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Robust estimation for linear panel data models
Statistics in Medicine, 2020 In different fields of applications including, but not limited to, behavioral, environmental, medical sciences, and econometrics, the use of panel data regression models has become increasingly popular as a general framework for making meaningful statistical inferences. However, when the ordinary least squares (OLS) method is used to estimate the model
Beste Hamiye Beyaztas +1 more
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Tests for Normality in Linear Panel-data Models [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2015 We propose a new command, xtsktest, for explaining nonnormalities in linear panel-data models. The command performs tests to explore skewness and excess kurtosis, allowing researchers to identify departures from Gaussianity in both error components of a standard panel regression, separately or jointly. The tests are based on recent results by Galvao et
Alejo, Javier +3 more
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Panel Data Models of New Firm Formation in New England
REGION, 2017 This study examines the impact of the determinants of new firm formation in New England at the county level from 1999 to 2009. Based on the Spatial Durbin panel model that accounts for spillover effects, it is found that population density and human ...
Jitendra Parajuli, Kingsley E. Haynes
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Predictive Modeling With Psychological Panel Data
Zeitschrift für Psychologie, 2018 Abstract. Longitudinal panels include several thousand participants and variables. Traditionally, psychologists analyze only a few variables – partly because common unregularized linear models perform poorly when the number of variables ( p) approaches the number of observations ( N).
Florian Pargent +1 more
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GMM for Panel Count Data Models [PDF]
Working Paper Series, 2006 This paper gives an account of the recent literature on estimating models for panel count data. Specifically, the treatment of unobserved individual heterogeneity that is correlated with the explanatory variables and the presence of explanatory variables that are not strictly exogenous are central.
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Nonresponse in dynamic panel data models [PDF]
Journal of Econometrics, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
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Bayesian inference in a cointegrating panel data model☆ [PDF]
, 2008 This paper develops methods of Bayesian inference in a cointegrating panel data model. This model involves each cross-sectional unit having a vector error correction representation. It is flexible in the sense that different cross-sectional units can have different cointegration ranks and cointegration spaces.
Koop, G.M. +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
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