The Calculus of M-Estimation in R with geex [PDF]
Journal of Statistical Software, 2020 M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and compute the empirical sandwich variance estimator for any set of user ...
Bradley C. Saul, Michael G. Hudgens
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A selective review of statistical methods using calibration information from similar studies
Statistical 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
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Gee-logit model corrected biplots with harvest effects on coffee beans grading
Bioscience 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
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Viruses, 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
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Jackknife for nonlinear estimating equations
Modern 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
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Restricted Empirical Likelihood Estimation for Time Series Autoregressive Models
Journal of Statistical Theory and Applications (JSTA), 2021 In this paper, we first illustrate the restricted empirical likelihood function, as an alternative to the usual empirical likelihood. Then, we use this quasi-empirical likelihood function as a basis for Bayesian analysis of AR(r) time series models.
Mahdieh Bayati +2 more
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Tracking of health-related physical fitness in adolescent girls: a 3-year follow-up study
BMC Pediatrics, 2022 Background Evidence has shown that higher levels of physical fitness (PF) in youth have beneficial effects on adult health-related outcomes. However, the tracking of separate PF components during adolescence has been less studied.
Mario Kasović +4 more
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Investigation for periodic and almost periodic solutions of first-order ordinary differential equations [PDF]
E3S Web of Conferences, 2023 Approaches to estimating for the number of periodic and almost periodic solutions of ordinary differential equations are considered. Conditions that allow determinating both the upper and lower bounds for these solutions are found.
Alferov G., Ivanov G., Korolev V.
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Developing Students’ Intuition on the Impact of Correlated Outcomes
Journal of Statistics and Data Science Education, 2022 While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated ...
Ashley Petersen
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An epidemiological study of the predictors of multidrug resistance and methicillin resistance among Staphylococcus spp. isolated from canine specimens submitted to a diagnostic laboratory in Tennessee, USA [PDF]
PeerJ, 2023 Background Understanding drivers of multidrug resistance (MDR) and methicillin resistance, which have increased among canine staphylococcal isolates, is essential for guiding antimicrobial use practices.
Jennifer Lord +5 more
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