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Bidirectional Associations Between Blood Glucose and Blood Pressure: A Data-Driven Causal Analysis Using Structural Equation Modelling and Granger Causality on NHANES Longitudinal Data. [PDF]
J Clin MedNaskinova I +6 more
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Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts. [PDF]
NPJ Digit MedShahabi F +8 more
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Modeling Nonstationary Longitudinal Data
Biometrics, 2000Summary. An important theme of longitudinal data analysis in the past two decades has been the development and use of explicit parametric models for the data's variance‐covariance structure. A variety of these models have been proposed, of which most are second‐order stationary.
Núñez-Antón, Vicente +1 more
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A longitudinal analysis of data breaches
Information Management & Computer Security, 2011PurposeThe purpose of this research is to provide companies and consumers with information about the potential connections between data breach types and institutions. This study also aims to add to the body of knowledge about data breaches.Design/methodology/approachThis study analyzes a chronology of five years of data breaches.
Chlotia Posey Garrison, Matoteng Ncube
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Median regression for longitudinal data
Statistics in Medicine, 2003AbstractWe review and compare three estimators of median regression in linear models with longitudinal data. The estimators are constructed based on well‐known ideas of weighting, decorrelating, and the working assumption of independence. Both asymptotic efficiency calculations and finite‐sample Monte Carlo studies are used to assess the performance of
He, X, Fung, WK, Fu, B
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A Note on Longitudinal Data Presentation
Research on Aging, 1987An example of presenting longitudinal data is provided using a subsample drawn from the Retirement History Study. A progression of age groups through the years of follow-up is examined in tabular form with respect to the number of parents and parents-in-law reported living. Comparisons are made between information that may be inferred from longitudinal
L R, Hatch, E F, Borgatta
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Efficient classification for longitudinal data
Computational Statistics & Data Analysis, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xianlong Wang, Annie Qu
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POLYNOMIALS WITH ASYMPTOTES FOR LONGITUDINAL DATA
Statistics in Medicine, 1996I use Laguerre polynomials to model growth curves or time--response curves known to approach an asymptote as time approaches infinity. An example is with measurements on a variable or variables from subjects recovering from surgery. These variables can often vary in a non-monotonic fashion for which a functional form of the curve is unknown.
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