Results 181 to 190 of about 44,938 (219)

Assessing the accuracy of survival machine learning and traditional statistical models for Alzheimer's disease prediction over time: a study on the ADNI cohort. [PDF]

BMC Med Res Methodol
Jahani S, Roshanaei G, Tapak L, Alzheimer’s Disease Neuroimaging Initiative.   +3 more
europepmc   +1 more source

Machine Learning Identifies a Parsimonious Differential Equation for Myricetin Degradation from Scarce Data. [PDF]

Foods
Fulkerson A, Bayram I, Decker EA, Parra-Escudero C, Lu J, Corvalan CM.   +5 more
europepmc   +1 more source

Non-destructive prediction of shoot-level leaf area and biomass in <i>Indocalamus</i> bamboo via scaling laws. [PDF]

Front Plant Sci
Fu Q, Shi P, Gielis J, Niklas KJ.
europepmc   +1 more source

Evolution mechanism of deformation and failure energy in composite rock mass with structural planes of different inclinations. [PDF]

Sci Rep
Yuan Z, Zhang D, Dong X.
europepmc   +1 more source

A New Model to Predict Survival Time in Patients With Hepatocellular Carcinoma With BCLC Advanced Stage. [PDF]

Cancer Med
Ninomiya M, Tsuruoka M, Inoue J, Hiraoka A, Sano A, Sato K, Onuki M, Sawahashi S, Ouchi K, Watanabe K, Kuroda H, Oikawa T, Abe T, Fujita M, Abe K, Katsumi T, Sato W, Igarashi G, Iino C, Tanabe N, Numao H, Ohira H, Ueno Y, Masamune A.   +23 more
europepmc   +1 more source

Epidemiological characteristics of monkeypox virus Clade Ib in the Democratic Republic of the Congo. [PDF]

Nat Commun
Kremer C, Nundu SS, Vakaniaki EH, Brosius I, Mukari G, Munganga P, Bangwen E, Tshomba JC, Mujula Y, De Vos E, Van Dijck C, Houben S, Gressani O, Kacita C, Mukadi-Bamuleka D, Wawina-Bokalanga T, Kinganda-Lusamaki E, Amuri-Aziza A, Lupola PM, Muyembe-Tamfum JJ, Mbala-Kingebeni P, Liesenborghs L, Hens N, Torneri A.   +23 more
europepmc   +1 more source

Disproportionality analysis of taste disorders using the FDA adverse event reporting system and Japanese adverse drug event report databases. [PDF]

Front Pharmacol
Kyotani Y, Nakahira K, Yoshizumi M.
europepmc   +1 more source

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Weibull Regression for Lifetimes Measured with Error

Lifetime Data Analysis, 1999
Models are considered in which 'true' lifetimes are generated by a Weibull regression model and measured lifetimes are determined from the true times by certain measurement error models. Adjusted estimators are obtained under one parametric specification.
Skinner, C.J., Humphreys, K.
openaire   +4 more sources

Binary data regression: Weibull distribution

AIP Conference Proceedings, 2009
The problem of estimation in binary response data has receivied a great number of alternative statistical solutions. Generalized linear models allow for a wide range of statistical models for regression data. The most used model is the logistic regression, see Hosmer et al. [6]. However, as Chen et al.
Renault Caron, Adriano Polpo, Paul M. Goggans, Chun-Yong Chan   +3 more
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A log-extended Weibull regression model

Computational Statistics & Data Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Silva, Giovana O., Ortega, Edwin M. M., Cordeiro, Gauss M.   +2 more
openaire   +2 more sources