Results 11 to 20 of about 6,181,414 (278)

Multinomial Inverse Regression for Text Analysis [PDF]

, 2013
Text data, including speeches, stories, and other document forms, are often connected to sentiment variables that are of interest for research in marketing, economics, and elsewhere.
Taddy, Matt
core   +1 more source

Linear regression analysis study

Journal of the Practice of Cardiovascular Sciences, 2018
Linear regression is a statistical procedure for calculating the value of a dependent variable from an independent variable. Linear regression measures the association between two variables.
Khushbu Kumari, Suniti Yadav
doaj   +1 more source

Regression analysis of ionospheric disturbance factors [PDF]

E3S Web of Conferences, 2020
Investigation of interactions of the near-planet space parameters, Earth magnetic field and ionospheric parameters are of interest in the tasks of solar-terrestrial physics and applied researches related to space weather.
Polozov Yuryi, Mandrikova Oksana
doaj   +1 more source

Binary logistic regression analysis

Psychiatry and Behavioral Sciences, 2015
In statistics, binary logistic regression analysis is a regression model where the dependent variable is a dichotomous categorical variable. The binary logistic model is used to estimate the probability of a binary response based on one or more ...
Selim Kılıc
doaj   +1 more source

Regression analysis with categorized regression calibrated exposure: some interesting findings

Emerging Themes in Epidemiology, 2006
Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e ...
Hjartåker Anette, Laake Petter, Buonaccorsi John P, Dalen Ingvild, Thoresen Magne   +4 more
doaj   +1 more source

Semiparametric Regression Analysis via Infer.NET

Journal of Statistical Software, 2018
We provide several examples of Bayesian semiparametric regression analysis via the Infer.NET package for approximate deterministic inference in Bayesian models.
Jan Luts, Shen S. J. Wang, John T. Ormerod, Matt P. Wand   +3 more
doaj   +1 more source

Bayesian analysis of a Tobit quantile regression model [PDF]

, 2007
This paper develops a Bayesian framework for Tobit quantile regression. Our approach is organized around a likelihood function that is based on the asymmetric Laplace dis- tribution, a choice that turns out to be natural in this context.
Stander, J, Yu, K
core   +1 more source

Tensor Regression with Applications in Neuroimaging Data Analysis [PDF]

, 2012
Classical regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. Modern applications in medical imaging generate covariates of more complex form such as multidimensional arrays (tensors ...
Caffo B., Casey B., Davatzikos C., de Lathauwer L., de Leeuw J., de Leeuw J., Fan J., Frank I. E., Friston K. J., Hinrichs C., Hongtu Zhu, Hua Zhou, Hung H., Kang H., Kolda T. G., Lange K., Lazar N. A., Lexin Li, Li B., Li Y., Li Y., Lindquist M., Liu X., Martino F. D., McCullagh P., Park S. W., Polzehl J., Qiu P., Qiu P., Rao C. R., Reiss P., Rothenberg T. J., Ryali S., Sidiropoulos N. D., Sowell E. R., Tibshirani R., Valera E. M., van der Vaart A. W., Worsley K. J., Yue Y., Zhou H., Zou H.   +41 more
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M-quantile regression analysis of temporal gene expression data [PDF]

, 2009
In this paper, we explore the use of M-regression and M-quantile coefficients to detect statistical differences between temporal curves that belong to different experimental conditions.
Vinciotti, V, Yu, K
core   +1 more source

Noncollapsibility and its role in quantifying confounding bias in logistic regression

BMC Medical Research Methodology, 2021
Background Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to ...
Noah A. Schuster, Jos W. R. Twisk, Gerben ter Riet, Martijn W. Heymans, Judith J. M. Rijnhart   +4 more
doaj   +1 more source