Results 271 to 280 of about 1,308,678 (317)

Development and validation of a predictive model for short-term symptom relief after organophosphate poisoning. [PDF]

Front Med (Lausanne)
Huang G, Zhang S, Wu B, Su Z, Li B, Mao P, Hu S, Li J.   +7 more
europepmc   +1 more source

Predictive model for postoperative hyperalgesia in patients with lower limb fractures undergoing nerve block surgery. [PDF]

Pak J Med Sci
Pang P, Xu H, Du W, Dong F.
europepmc   +1 more source

Assessment of rotational dose perturbations in SBRT: A radiomic-dosiomic predictive model based on the structural similarity index measure. [PDF]

J Appl Clin Med Phys
Qi R, Sun J, Mu T, Shi H, Zhang J, Dai X.   +5 more
europepmc   +1 more source

Development and multicenter validation of a predictive model for malignant pleural effusion recurrence. [PDF]

iScience
Hu X, Jiang Y, Heibi Y, Jiang L, Li Y.
europepmc   +1 more source

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Multilevel Model Prediction

Psychometrika, 2006
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling—model disturbances, random coefficients, and future response ...
Frees, Edward W., Kim, Jee-Seon
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Nomograms as predictive models

Seminars in Urologic Oncology, 2002
Nomograms are valuable tools for estimating the likelihood of cancer being diagnosed, the pathologic features of a localized cancer, and the prognosis of a patient after treatment. Although the available nomograms are reasonably accurate, better predictive factors including additional clinical factors and new molecular analyses are needed to improve ...
James A, Eastham, Michael W, Kattan, Peter T, Scardino   +2 more
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Structure prediction and modelling

Current Opinion in Biotechnology, 1991
Protein structure prediction from sequence remains a major goal in molecular biology. The methods described in this review concentrate on deriving structural information through the detection of similarities between a test sequence and a database of known structures. Such methods are often referred to as knowledge-based strategies reflecting the use of
M B, Swindells, J M, Thornton
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MODEL IMPERFECTION AND PREDICTING PREDICTABILITY

International Journal of Bifurcation and Chaos, 2013
It has been argued that Lyapunov exponents as a measure of predictability are of limited value because they only provide a global average. Characterizing an attractor by a distribution of times for initial uncertainties to increase by a factor of q has been suggested as a more useful alternative.
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