Results 1 to 10 of about 7,701,972 (261)

Performance and Determinants of Serum Creatinine and Cystatin C–Based GFR Estimating Equations in South Asians [PDF]

open access: yesKidney International Reports, 2021
Introduction: The creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimated glomerular filtration rate (eGFR) equation was calibrated for the general Pakistan population (eGFRcr-PK) to eliminate bias and improve accuracy ...
Yeli Wang   +9 more
doaj   +2 more sources

Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations [PDF]

open access: yesFrontiers in Public Health, 2022
BackgroundMeteorological factors have been proven to affect pathogens; both the transmission routes and other intermediate. Many studies have worked on assessing how those meteorological factors would influence the transmissibility of COVID-19.
Shengnan Lin   +17 more
doaj   +2 more sources

Determining glomerular filtration rate in homozygous sickle cell disease: utility of serum creatinine based estimating equations.

open access: yesPLoS ONE, 2013
BackgroundVarious estimating equations have been developed to estimate glomerular filtration rate (GFR) for use in clinical practice. However, the unique renal physiological and pathological processes that occur in sickle cell disease (SCD) may ...
Monika R Asnani   +2 more
doaj   +2 more sources

The failure of glomerular filtration rate estimating equations among obese population. [PDF]

open access: yesPLoS ONE, 2020
BackgroundObesity is a major public health with increasing numbers of obese individuals are at risk for kidney disease. However, the validity of serum creatinine-based glomerular filtration rate (GFR) estimating equations in obese population is yet to be
Piyawan Kittiskulnam   +5 more
doaj   +2 more sources

A selective review of statistical methods using calibration information from similar studies

open access: yesStatistical Theory and Related Fields, 2022
In the era of big data, divide-and-conquer, parallel, and distributed inference methods have become increasingly popular. How to effectively use the calibration information from each machine in parallel computation has become a challenging task for ...
Jing Qin, Yukun Liu, Pengfei Li
doaj   +2 more sources

Gee-logit model corrected biplots with harvest effects on coffee beans grading

open access: yesBioscience Journal, 2021
In a granulometric analysis of coffee beans with different categories of defects, the data can be organized in contingency tables, and when considering the discrimination by harvest, they may have a structure that suggest a more complex model, by means ...
Haiany Aparecida Ferreira   +3 more
doaj   +3 more sources

Estimating Euler Equations [PDF]

open access: yesWorking Paper Series, 2000
In this paper we consider conditions under which the estimation of a log-linearized Euler equation for consumption yields consistent estimates of the preference parameters. When utility is isoelastic and a sample covering a long time period is available, consistent estimates are obtained from the log-linearized Euler equation when the innovations to ...
Orazio P. Attanasio, Hamish Low
openaire   +6 more sources

Kinetics in HBsAg after Stopping Entecavir or Tenofovir in Patients with Virological Relapse but Not Clinical Relapse

open access: yesViruses, 2022
This study investigated the kinetics in HBsAg and the HBsAg loss rate after entecavir or tenofovir disoproxil fumarate (TDF) cessation in patients with chronic hepatitis B (CHB) who achieved virological suppression after virological relapse without ...
Tzu-Ning Tseng   +6 more
doaj   +1 more source

Jackknife for nonlinear estimating equations

open access: yesModern Stochastics: Theory and Applications, 2022
In mixture with varying concentrations model (MVC) one deals with a nonhomogeneous sample which consists of subjects belonging to a fixed number of different populations (mixture components).
Rostyslav Maiboroda   +2 more
doaj   +1 more source

SMOOTHED ESTIMATING EQUATIONS FOR INSTRUMENTAL VARIABLES QUANTILE REGRESSION [PDF]

open access: yesEconometric Theory, 2016
The moment conditions or estimating equations for instrumental variables quantile regression involve the discontinuous indicator function. We instead use smoothed estimating equations (SEE), with bandwidth h.
David M. Kaplan, Yixiao Sun
semanticscholar   +1 more source

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