Results 211 to 220 of about 2,959,577 (269)

Assessment of Mother-to-Child HIV Transmission Program in Cameroon: A Three-Year Study Using Statistical Models. [PDF]

J Int Assoc Provid AIDS Care
Ivan MK, Joseph F, Tanwieh ER, Kouanfack C, Gatsing D.   +4 more
europepmc   +1 more source

Dissection of X chromosome dosage compensation for quantitative traits in sheep using different statistical models. [PDF]

Sci Rep
Ghafouri-Kesbi F, Eskandarinasab M.
europepmc   +1 more source

Behind the scenes of cellular organization: Quantifying spatial phenotypes of puncta structures with statistical models including random fields. [PDF]

Mol Biol Cell
Nicolaou K, Passmore JB, Kapitein LC, Mulder BM, Berger F.   +4 more
europepmc   +1 more source

Evaluation of Machine Learning and Traditional Statistical Models to Assess the Value of Stroke Genetic Liability for Prediction of Risk of Stroke Within the UK Biobank. [PDF]

Healthcare (Basel)
MacCarthy G, Pazoki R.
europepmc   +1 more source

Effect and prediction of long-term weather and pollutant exposure on hemorrhagic fever with renal syndrome: based on statistical models. [PDF]

Front Public Health
Hou W.
europepmc   +1 more source

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Statistics for a Diagnostic Model

Biometrics, 1961
In recent years, several methods have been proposed for making medical diagnoses by machine (Ledley and Lusted [1959], Crumb and Rupe [1959]). A method devised by Brodman et al. [1959, 1960] has been used to program a high-speed electronic computer for making presumptive medical diagnoses using only information relating to the age, sex, and responses ...
van Woerkom, Adrianus J., Brodman, Keeve
openaire   +2 more sources

On Statistical Model Validation

Journal of Dynamic Systems, Measurement, and Control, 1996
In this paper we formulate a particular statistical model validation problem in which we wish to determine the probability that a certain hypothesized parametric uncertainty model is consistent with a given input-output data record. Using a Bayesian approach and ideas from the field of hypothesis testing, we show that in many cases of interest this ...
Lee, L. H., Poolla, K.
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Statistical Modelling

2019
In this chapter, we present statistical modelling approaches for predictive tasks in business and science. Most prominent is the ubiquitous multiple linear regression approach where coefficients are estimated using the ordinary least squares algorithm. There are many derivations and generalizations of that technique. In the form of logistic regression,
Dettling, Marcel, Ruckstuhl, Andreas
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Statistical Modelling

2008
Statistical models provide an alternative approach to using dynamical models in seasonal climate forecasting. In statistical models relationships between one set of data, the predictors, and a second set, the predictands, are sought. Common predictands include seasonal mean temperatures and accumulated precipitation, and are typically predicted using ...
Mason, Simon J., Baddour, Omar
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Statistical models and thermalization

Nuclear Physics B - Proceedings Supplements, 2003
Abstract The status of thermodynamical is discussed. This approach is quiet popular in the heavy ion collision physics. It is argued that the “principle of vanishing of correlations” must be used for quantitative estimations of the rate of thermalization.
J. Manjavidze, A. Sissakian
openaire   +1 more source