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Improper Reporting of Multivariable Logistic Regression - NCBI - NIH
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959013/
by R Kumar - 2014 - Related articles
[2] Multivariable logistic regression (MLR) is most commonly applied multivariable regression method in medical journals.[3] Multivariable regression models require in-depth understanding of model building, its related assumptions, proper interpretation of regression coefficient, and correct reporting to get a valid and ...
Missing: interdimensional huge manifestations
Comparing performance of multinomial logistic regression and ... - NCBI
https://www.ncbi.nlm.nih.gov/pubmed/11927209
by M Hossain - 2002 - Cited by 17 - Related articles
Our goal was to determine the best statistical method for prediction of arrival intervals for patients with acute myocardial infarction (AMI) symptoms. We compared the performance of multinomial logistic regression (MLR) and discriminant analysis (DA) models. Models for MLR and DA were developed using a dataset of ...
Missing: interdimensional huge
Evaluating the discriminatory power of a multiple logistic regression ...
https://www.ncbi.nlm.nih.gov/pubmed/3368678
by MS Green - 1988 - Cited by 19 - Related articles
Various measures for estimating the goodness-of-fit of the multiple logistic regression (MLR) model have been suggested, although there is no clear consensus as to which measure is most suitable. In this paper, a simple measure of the discriminatory power of the fitted MLR model, based on maximization of Youden's J ...
Missing: interdimensional huge manifestations
L. Andries van der Ark Daniel M. Bolt Wen-Chung ... - Springer Link
https://link.springer.com/content/pdf/10.1007%2F978-3-319-19977-1.pdf
the regression line. Given the item responses on the pediatric Anxiety scale, IRT methods may be used to compute the implied distribution on В1; two of those are ... pediatric Anxiety scale are shown along the x-axis, along with the corresponding implied bivariate ...... (2005) used logistic regression to assess the relationship.
regression analysis learning: Topics by WorldWideScience.org
https://worldwidescience.org/topicpages/r/regression+analysis+learning.html
However, due to the huge image variability and ambiguity, it is fundamentally challenging to handle the highly complex input-target relationship of multioutput ..... Meanwhile, the aim of this study is to illustrate fitting models for the credit scoring problem using simple linear, multiple linear and logistic regression models and ...
selected variables related: Topics by WorldWideScience.org
https://worldwidescience.org/topicpages/s/selected+variables+related.html
We propose a new variable selection method–the logistic elastic net, prove that it has grouping eff ect which means that the strongly correlated predictors tend to ...... The feature selection algorithms tested include stepwise multiple linear regression (MLR-step), interval partial least squares regression (iPLS), backward iPLS ...
Identifying Feature Sequences from Process Data in Problem-Solving ...
https://www.researchgate.net/.../284030483_Identifying_Feature_Sequences_from_Proc...
Full-text (PDF) | This article draws on process data from a computer-based large-scale program, the Programme for International Assessment of Adult Competencies... ... An item response theory analysis of nicotine dependence. symptoms in recent onset adolescent smokers. Drug and Alcohol Dependence, 110(12), 70–79.
The prevalence of hepatitis B among hemodialysis patients in Egypt ...
https://www.researchgate.net/.../315491600_The_prevalence_of_hepatitis_B_among_he...
large, type II cryoglobulinemia is due to chronic infections. (HCV). In this report we are presenting a case where a ...... manifestation of intermittent HD, thought to be due to promotion. of cerebral oedema and characterised by ...... change in MHD patients using multiple logistic regression. Con-. clusions: Patients with higher ...
British Society for Dental Research (incorporating the ... - SAGE Journals
journals.sagepub.com/doi/pdf/10.1177/00220345910700040301
saturation, each phosphate binds one calcium. LTA is about 30% saturated at the calcium concentration normally found in plague fluid. Such a large reserve calcium ...... Multiple regression indicated that bufferinq capacity was a statistically significant explanatory variable for calcium and phosphorus concentrations in dental.
evolving artificial neural: Topics by Science.gov
https://www.science.gov/topicpages/e/evolving+artificial+neural.html
... benign and malignant ovarian tumors...With the input variables selected by logistic regressionanalysis, two types of feed-forward neural networks were built: multi-layer perceptrons ...... Modeling was performed by Multiple linear regression (MLR) methods and artificial neural network (ANN). The results obtained in linear ...
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