Results 1 to 10 of about 165,703 (211)

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

An EM Algorithm for Estimating Equations

open access: yesJournal of Computational and Graphical Statistics, 2004
This article presents an algorithm for accommodating missing data in situations where a natural set of estimating equations exists for the complete data setting. The complete data estimating equations can correspond to the score functions from a standard,
Louise Ryan
exaly   +2 more sources

Plug-In Semiparametric Estimating Equations [PDF]

open access: yes, 1995
In parametric regression problems, estimation of the parameter of interest is typically achieved via the solution of a set of unbiased estimating equations.
Gutierrez, Roberto G.   +3 more
core   +4 more sources

Development of gender- and age group-specific equations for estimating body weight from anthropometric measurement in Thai adults

open access: yesInternational Journal of General Medicine, 2012
Kaweesak Chittawatanarat1,2, Sakda Pruenglampoo3, Vibul Trakulhoon4, Winai Ungpinitpong5, Jayanton Patumanond21Department of Surgery, Faculty of Medicine, 2Clinical Epidemiology Unit, 3Research Institute for Health Sciences, Chiang Mai University, Chiang
Chittawatanarat K   +4 more
doaj   +1 more source

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

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

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   +1 more source

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

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   +5 more sources

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

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