Results 231 to 240 of about 819,272 (292)

Temporal Changes in Vertebral Morphology of the Free-Ranging Rhesus Macaques From Cayo Santiago, Puerto Rico. [PDF]

Am J Biol Anthropol
Villamil CI, Negrón JJ, Middleton ER.
europepmc   +1 more source

Comparative evaluation of apical root resorption in adult patients treated with clear aligners and fixed orthodontic appliances using CBCT. [PDF]

Acta Odontol Scand
Issrani R, Alshammari AH, Alrwuili MR, Aljabab MA, Alenzi NA, Joshi P, Aldoseri YT.   +6 more
europepmc   +1 more source

Erratum. [PDF]

Obes Facts
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Linear mixed function‐on‐function regression models

Biometrics, 2014
SummaryWe develop a linear mixed regression model where both the response and the predictor are functions. Model parameters are estimated by maximizing the log likelihood via the ECME algorithm. The estimated variance parameters or covariance matrices are shown to be positive or positive definite at each iteration.
Wei Wang
exaly   +5 more sources

Bayesian composite quantile regression for linear mixed-effects models

Communications in Statistics - Theory and Methods, 2017
ABSTRACTLongitudinal data are commonly modeled with the normal mixed-effects models. Most modeling methods are based on traditional mean regression, which results in non robust estimation when suffering extreme values or outliers. Median regression is also not a best choice to estimation especially for non normal errors.
Maozai Tian, Heng Lian
exaly   +3 more sources

Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models

Journal of the American Statistical Association, 2007
cover point processes in the modern sense of random measures. This chapter also is more technical than the subsequent two on Markov processes. Chapter 4 (on discrete-time countable state Markov processes) is extremely short.
J. Ormerod
openaire   +2 more sources

Person-time generalized linear regression mixed models in survival analysis

Statistics
This study presents a methodological contribution within a discrete-time survival analysis framework by introducing a person-time generalized linear mixed model. An application of this methodology, using logistic models with random effects, is provided in the context of academic career progression in Italy, a field where gender disparities remain a ...
Mezzetti, Maura, Negri, Ilia
openaire   +2 more sources

Lasso regression in sparse linear model with $$\varphi $$-mixing errors

Metrika, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peng, Ling, Zhu, Yan, Zhong, Wenxuan
openaire   +2 more sources

Double Penalized Quantile Regression for the Linear Mixed Effects Model

Journal of Systems Science and Complexity, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hanfang Li, Yuan Liu, Youxi Luo
openaire   +2 more sources