Results 221 to 230 of about 4,999,056 (283)

Intelligent Patient Management in Viral Diseases: An Integrated Regression Model and Multi-Criteria Decision-Making Approach to Convalescent Plasma Transfusion. [PDF]

Healthcare (Basel)
Mohammed TJ, Albahri AS, Alnoor A, Khaw KW, Chew XY, Lim ST.   +5 more
europepmc   +1 more source

WLreg: A new re-parametrization of the Weighted Lindley distribution and its regression model. [PDF]

PLoS One
Altun E, Chesneau C, Alqifari HN.
europepmc   +1 more source

Non-reassuring fetal heart rate and associated factors among laboring mothers at southern public hospitals in Ethiopia: a poisson regression model. [PDF]

Sci Rep
Asnake AB, Desalew A, Meseret F, Mezmur H.   +3 more
europepmc   +1 more source

TBESO-BP: an improved regression model for predicting subclinical mastitis. [PDF]

Front Vet Sci
Han K, Dai Y, Liu H, Hu J, Liu L, Wang Z, Wei L.   +6 more
europepmc   +1 more source

Simulation and analysis of evapotranspiration from desert grasslands based on a random forest regression model. [PDF]

Sci Rep
Chen H, Chu N, Kang A, Wang W, He J.
europepmc   +1 more source

Research on Olympic medal prediction based on GA-BP and logistic regression model. [PDF]

F1000Res
Zhao S, Cao J, Lu K, Steve J.
europepmc   +1 more source

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REGRESSION, AUTOREGRESSION MODELS

Journal of Time Series Analysis, 1986
Abstract.The accuracy of least squares fitted regression autoregression models as approximations to more general stochastic structures is considered, attention being paid to the accuracy of the estimates of coefficients, of the innovations sequence and to the behaviour of the order (i.e., maximum lag) as determined by methods such as IAC, BIC.
Hannan, E. J., Kavalieris, L.
openaire   +2 more sources

Regression Modeling Strategies

Revista Española de Cardiología (English Edition), 2011
Multivariable regression models are widely used in health science research, mainly for two purposes: prediction and effect estimation. Various strategies have been recommended when building a regression model: a) use the right statistical method that matches the structure of the data; b) ensure an appropriate sample size by limiting the number of ...
Nunez, E, Steyerberg, Ewout, Nunez, J
openaire   +2 more sources

Regression Model Diagnostics

International Statistical Review / Revue Internationale de Statistique, 1992
Summary Various diagnostics for generalized linear models are reviewed and extended to more general models. These include some models for censored and grouped data, and regressions that are nonlinear, or where the response does not have an exponential family distribution.
Davison, A. C., Tsai, C.-L.
openaire   +2 more sources