Results 241 to 250 of about 3,742,082 (296)
Predicting Pregnancy After Fixed-Time Artificial Insemination in Goats: Comparative Performance of Multivariable Logistic Regression and Random Forest Models. [PDF]
Animals (Basel)Rodríguez-Vargas A +6 more
europepmc +1 more source
Constructing a predictive model for the risk of periventricular leukomalacia in very low birth weight premature infants based on Lasso-Logistic regression analysis. [PDF]
Front PediatrDuan F, Ling L, Liao L.
europepmc +1 more source
Measles Immunoglobulin G Positivity and Associated Factors Among Suspected Cases in Three Selected Zambian Provinces: A Bayesian Logistic Regression Study. [PDF]
Trop Med Infect DisGardner PN +7 more
europepmc +1 more source
Coping strategies and their relationship with quality of life in older adults with type 2 diabetes: a binary logistic regression analysis. [PDF]
BMC PsycholSarvari S +4 more
europepmc +1 more source
Kappa Regression: An Alternative to Logistic Regression [PDF]
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2020 In this study, a new regression method called Kappa regression is introduced to model conditional probabilities. The regression function is based on Dombi’s Kappa function, which is well known in fuzzy theory. Here, we discuss how the Kappa function relates to the Logistic function as well as how it can be used to approximate the Logistic function. We
Dombi József, Jónás Tamás
openaire +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Journal of Personality Assessment, 1997
Logistic regression has probably been underutilized in clinical investigations of personality because of its relatively recent development (dictated by the need for computer programs to obtain maximum likelihood estimates), and the fact that use has been largely confined to the fields of biostatistics, epidemiology, and economics Its use should be ...
L J, Davis, K P, Offord
openaire +2 more sources
Logistic regression has probably been underutilized in clinical investigations of personality because of its relatively recent development (dictated by the need for computer programs to obtain maximum likelihood estimates), and the fact that use has been largely confined to the fields of biostatistics, epidemiology, and economics Its use should be ...
L J, Davis, K P, Offord
openaire +2 more sources
2007
The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable ...
Todd G, Nick, Kathleen M, Campbell
openaire +2 more sources
The Medical Subject Headings (MeSH) thesaurus used by the National Library of Medicine defines logistic regression models as "statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable ...
Todd G, Nick, Kathleen M, Campbell
openaire +2 more sources
Multinomial Logistic Regression
Nursing Research, 2002When the dependent variable consists of several categories that are not ordinal (i.e., they have no natural ordering), the ordinary least square estimator cannot be used. Instead, a maximum likelihood estimator like multinomial logit or probit should be used.The purpose of this article is to understand the multinomial logit model (MLM) that uses ...
Chanyeong, Kwak, Alan, Clayton-Matthews
openaire +2 more sources