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Longer titles found: Multinomial logistic regression (view), Conditional logistic regression (view), Multivariate logistic regression (view)

searching for Logistic regression 123 found (559 total)

alternate case: logistic regression

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invariance assessment, multigroup analysis, regression analysis, logistic regression, path analysis, PROCESS, confirmatory factor analysis, and covariance-based

with estimates of odds ratios, risk ratios, and risk differences, logistic regression (conditional and unconditional), survival analysis (Kaplan Meier

The efficiency of the normal discriminant analysis compared to the logistic regression for the prediction criterion. She was elected as a Fellow of the

treatment and skin cancer incidence 5 to 15 years afterwards. A logistic regression study has shown that there is a positive association between citrus

and Functional Binomial Regression, with the important Functional Logistic Regression included, are special cases of GFLM. Applications of GFLM include

misclassification Rosner B, Spiegelman D, Willett WC. Correction of logistic regression relative risk estimates and confidence intervals for measurement

referrals from community pharmacy to general practice: multivariate logistic regression analysis of 131 419 patients". Br J Gen Pract. 68 (673): e541 – e550

networks and their comparison with frequency ratio and bivariate logistic regression modelling". Environmental Modelling & Software. 25 (6): 747–759.

comparison of means (t-tests and one-way ANOVA), linear regression, logistic regression, reliability (Cronbach's alpha, not failure or Weibull), and re-ordering

analysis, maximum likelihood for missing data, model comparisons in logistic regression, and fixed effects models for panel data. Allison has served as an

(May 2005). "Classification of EEG signals using neural network and logistic regression". Computer Methods and Programs in Biomedicine. 78 (2): 87–99. doi:10

emotional infidelity. The results of this study showed that there is a logistic regression revealing a significant three-way interaction between gender, sex

been applied. Within regression approaches, linear, log-normal and logistic regression approaches have been applied, but have been criticised by other researchers

"Predicting Spousal Physical Violence in the Philippines: a Binary Logistic Regression Analysis” for the European Academic and Research Network; and “Modeling

of Adulteration in Household Chilli Powder from Its Images using Logistic Regression Technique" (PDF). Reliability: Theory & Applications. 16 (RT&A, Special

Classification" The R Journal "maxent: An R Package for Low-memory Multinomial Logistic Regression with Support for Semi-automated Text Classification" DataScience+

Decision Trees, Random Forests, ADA Boost, Support Vector Machine, Logistic Regression, and Neural Net. Evaluation = Confusion Matrix, Risk Charts, Cost

validation of predictive models: Efficiency of some procedures for logistic regression analysis". Journal of Clinical Epidemiology. 54 (8): 774–781. doi:10

1038/nphoton.2014.220. S2CID 53349599. King, Gary; Zeng, Langche (2001). "Logistic Regression in Rare Events Data". Political Analysis. 9 (2): 137–163. doi:10

vector machines are implemented by a Cython wrapper around LIBSVM; logistic regression and linear support vector machines by a similar wrapper around LIBLINEAR

ISBN 0-340-56405-9. Strano, M.; Colosimo, B.M. (30 April 2006). "Logistic regression analysis for experimental determination of forming limit diagrams"

using referendum data - maximum-likelihood estimation by censored logistic-regression, Cameron TA, Vol. 15(3) 355–379, 1988 Combining revealed and stated

Lulseged; Yamagishi, Hiromitsu (2005). "The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains

important element of the models is model interpretability; therefore, logistic regression is often appropriate due to the ease of interpreting model coefficients

G.; Seligman, D. A.; Gornbein, J. A. (1993-06-01). "A multiple logistic regression analysis of the risk and relative odds of temporomandibular disorders

Kraemer HC (2005). "Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive

linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression. Examples of PDL usage for regression modelling tasks include evaluating

exposure without the need for the rare disease assumption. When the logistic regression model is used to model the case–control data and the odds ratio is

2010.00740.x with L. Meier, S. Van de Geer: The group lasso for logistic regression, Journal of the Royal Statistical Society, Series B, vol. 70, 2008

17, 1999). "Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan

corrections for risk prediction models: illustration and simulation using logistic regression". Journal of the American Medical Informatics Association. 29 (9):

of Public Health in 2001. Her dissertation, Goodness-of-Fit for Logistic Regression Models Developed Using Data Collected from a Complex Sampling Design

straightforward. The second approach circumvents these issues by using the logistic regression as a link function. More specifically, E ⁡ [ y ∨ x ] = exp ⁡ ( x

Streams". Archived from the original on 2017-06-19. 12. Deep Chem Logistic Regression, Naive Bayes, RF, ANN, and others "DeepChem". deepchem.io. Retrieved

Streams". Archived from the original on 2017-06-19. 12. Deep Chem Logistic Regression, Naive Bayes, RF, ANN, and others "DeepChem". deepchem.io. Retrieved

Chen, Zhaohua; Wang, Jinfei (2007). "Landslide hazard mapping using logistic regression model in Mackenzie Valley, Canada". Natural Hazards. 42 (1): 75–89

clinical and sociodemographic correlates in schizophrenia: multiple logistic regression analysis". BMJ Open. 2 (6): e001340. doi:10.1136/bmjopen-2012-001340

diagnosis of ameloblastomas and keratocystic odontogenic tumours: logistic regression analysis". Dento Maxillo Facial Radiology. 40 (3): 133–140. doi:10

scores) It is based on a supervised learning method using a lasso logistic regression model to distinguish samples into those with and without BRCA 1/2

from aged people by regulating the cell cycle inhibitor p21WAF1 Logistic regression analysis showed p53 and COX-2 as dependent predictors in pancreatic

Association, 78(382): 427–434. Mehta CR and Patel NR. 1995. Exact logistic regression: theory and examples. Statistics in Medicine, 14: 2143–2160. Mehta

Post-Release Outcomes" (PDF). Duwe, Grant; Freske, Pamela J. (2012). "Using Logistic Regression Modeling to Predict Sexual Recidivism". Sexual Abuse: A Journal of

2000. A. Baddeley, J.-F. Coeurjolly, E. Rubak and R. Waagepetersen, Logistic regression for spatial Gibbs point processes. Biometrika 101:377-392, 2014.

October, 1998. Fallen, Christopher T. and Newby, Gregory B. 2005. "Logistic Regression Merging of Amberfish and Lucene Multisearch Results." Text Retrieval

neural network trained acoustic models and transfer learning based logistic regression classifiers". Speech Communication. 67: 154–166. doi:10.1016/j.specom

exposures, default probabilities are estimated using credit scoring or logistic regression, both of which are closely linked to the reduced form approach. The

machines, neural networks, Bayesian networks, linear discriminants, logistic regression, etc.. At present, these techniques are used in different applications

Braid Groups Security Analysis of the Strong Diffie-Hellman Problem Logistic regression model training based on the approximate homomorphic encryption Toward

Marisela; Elórtegui-Gómez, Claudio (1 September 2021). "Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University

(PDF), p. A–37, retrieved 2008-02-15 Bennett, Steve (1983), "Log-Logistic Regression Models for Survival Data", Journal of the Royal Statistical Society

awesome at the same time. (In this case, the researchers employed logistic regression analysis, considering age group, gender, education, occupation and

been extended to other models such as support vector machines or logistic regression. A different approach in order to obtain a gradient with respect

Effects of Arrest on Domestic Violence Incidence and Revictimization: Logistic Regression and Regression Time Series Analysis of the National Crime Victimization

laboratory, Jan 26th, 2006. Strano, M.; Colosimo, B.M. (30 April 2006). "Logistic regression analysis for experimental determination of forming limit diagrams"

"Prognosis of acute acoustic trauma: a retrospective study using multiple logistic regression analysis". Auris Nasus Larynx. 28 (2): 117–120. doi:10.1016/S0385-8146(00)00117-6

comparison of means (t-tests and one-way ANOVA); linear regression, logistic regression, reliability (Cronbach's Alpha, not failure or Weibull), and re-ordering

Mario (2006). "Obtaining Environmental Favourability Functions from Logistic Regression". Environmental and Ecological Statistics. 13 (2): 237–245. doi:10

subdural hematoma: results of multivariate analysis performed using a logistic regression model". Journal of Neurosurgery. 98 (6): 1217–1221. doi:10.3171/jns

in the irrigated lowlands of Uzbekistan using remote-sensing and logistic regression modeling" (PDF). Journal of Environmental Monitoring and Assessment

machine learning techniques like neural networks, decision trees, logistic regression, linear to multiple regression analysis, and classification to do

classification algorithm for customer churn prediction based on logistic regression and decision trees". European Journal of Operational Research. 269(2):

age and to be higher in women. Age remains significant in multiple logistic regression analyses. The results of different studies have reported gender as

risk reductions, and numbers needed to treat can be obtained from a logistic regression model". J Clin Epidemiol. 63 (1): 2–6. doi:10.1016/j.jclinepi.2008

identified an additional risk factor. In that study of 550 RA patients, logistic regression analysis of data collected on the 237 (43%) with ILD revealed that

diagnosis of ameloblastomas and keratocystic odontogenic tumours: logistic regression analysis". Dento Maxillo Facial Radiology. 40 (3): 133–40. doi:10

cites. Hosmer DW, Lemeshow S. Goodness of fit tests for the multiple logistic regression model, 1980, 401 cites. Iman RL, Conover WJ. Small sample sensitivity

number of health factors from a patient and using precalculated logistic regression coefficients attempts to give a percentage chance of survival to

S2CID 162758590. Prasad, K.; Dash, S. K.; Mohanty, U. C. (2010). "A logistic regression approach for monthly rainfall forecasts in meteorological subdivisions

can be characterized by how much Whi5 is present in the nucleus. Logistic regression was next used to calculate the probability of arrest relative to

DisoRDPbind 2015 RNA, DNA, and Protein Binding Regions Multiple logistic regression models based on predicted disorder, amino acid properties, and sequence

assessment for the endangered Nilgiri Laughingthrush : A multiple logistic regression approach". Current Science. 94 (11): 1487–1494. Islam, MA (1987)

y_{n})}{trainingData(x_{n},y_{n})}}\right)} . The discriminative model is a logistic regression maximum entropy classifier. With the discriminative model, the goal

Ray, Bonnie; Lawrence, Richard; Takriti, Samer (2007-12-01). "A logistic regression framework for information technology outsourcing lifecycle management"

"On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes". Proceedings of the 14th International Conference

Ray, Bonnie; Lawrence, Richard; Takriti, Samer (2007-12-01). "A logistic regression framework for information technology outsourcing lifecycle management"

S., Steinhaus, S. D., Edwards, J. E., & DeLessio, J. (1991). A logistic regression model for personnel selection. Applied Psychological Measurement

(2012). "Predictive Factors for Postherpetic Neuralgia Using Ordered Logistic Regression Analysis". The Clinical Journal of Pain. 28 (8): 712–714. doi:10

06.003. Ge, Wenxia; G. A. Whitmore (2010). "Binary response and logistic regression in recent accounting research publications: a methodological note"

mining community. For example, Popescul et al. proposed a structured logistic regression model that can make use of relational features. Local conditional

(DIF) analyses of health-related quality of life instruments using logistic regression". Health and Quality of Life Outcomes. Health and Quality of Life

the Grand Rapids dip but found that adjusting for covariates using logistic regression made the dip disappear. A direct effect of alcohol on a person's

machine learning, such as naive Bayes, CART, random forests, and logistic regression, have also been carried out by using dozens of real-world datasets

unit-weights model was r = .392, which was somewhat larger than for logistic regression (r = .368) and predictive attribute analysis (r = .387), and less

time series analysis, sequence clustering algorithm, linear and logistic regression analysis, and neural networks—for use in data mining. SQL Server

using Chi square estimation, but some companies do use linear and logistic regression analysis. More recently, Conjoint analysis is one of the new techniques

quantization, decision tree analysis, random forests, naive Bayes, logistic regression, kernel regression, artificial neural networks, support vector machines

Beclin1/Atg6 genes in human cancers: using cDNA tissue panel, qRT-PCR, and logistic regression model to identify cancer cell biomarkers". PLOS ONE. 6 (10): e26150

domestic violence in Nepal. According to a study by BMC Women's Health, logistic regression analysis found that the literacy status of Nepalese women, healthcare

Salek MS. Mapping of the DLQI TO EQ-5D Utility Values using ordinal logistic regression. Quality of Life Research 2017 (in press) Salek S, Roberts A, Finlay

representative with respect to geographic location, race, and gender. A logistic regression analysis was conducted on responses to Phase 3.6 which includes questions

ROMMA, Passive-Aggressive Perceptron, Perceptron with Margins, and Logistic Regression". Retrieved 2014-02-13. "Hashing TF". Retrieved 4 September 2015

sample included over 9,200 students, with 850 reporting IEP status. Logistic regression was applied to examine links between IEP status and various health

behaviour from accelerometer and depth data using mixed-effects logistic regression". Animal Biotelemetry. 11 (1): 14. Bibcode:2023AnBio..11...14J. doi:10

term exposure concentrations were used. Results from multivariate logistic regression analysis suggest that current smokers tended to be less sensitive

CG. 1999. "Evaluating sediment chemistry and toxicity data using logistic regression modeling." Environ Toxicol Chem 18:1311–1322. Gustafsson O, Haghseta

department, the mechanism of injury, etc. An 18 variable multivariable logistic regression model is used to estimate risk-adjusted mortality for trauma patients

compared with other machine learning classification algorithms such as logistic regression and naive Bayes with the highest accuracy obtained with deep learning

hysterectomy from 8.9% to 4.0% (RR 0.44, 0.23–0.86). In multiple logistic regression, there was a 55% reduced odds of mortality during the NASG phase

first trimester prediction model has evolved from a multivariate logistic regression model to a novel Bayes theorem-based model that incorporates a survival-time

techniques, decision trees, neural networks, Support Vector Machines, logistic regression, and meta heuristics. There are many different approaches that may

analyses, including T-test, Oneway and Factorial Anova, Linear and Logistic regression and Principal components analysis. It also has provision for it to

investigate this further, we applied a novel principal components multiple logistic regression test to Bayesian serial coalescent simulations. The analysis supported

(2021-08-20). "Landslide Susceptibility Mapping of Urban Areas: Logistic Regression and Sensitivity Analysis applied to Quito, Ecuador". Geoenvironmental

prominent private clinic in Europe has published a data A multiple logistic regression model showed that sperm origin, maternal age, follicle count at hCG

Highlands of Ethiopia Combining principal component analysis and logistic regression models to assess household level food security among smallholder

odds of postoperative mortality was confirmed using a multivariable logistic regression analysis (OR = 1.51; 95% CI 1.19-1.92). Both non-elective and elective

risk of developing Alzheimer's disease was even higher. Based on logistic regression analyses, it was found that obesity was associated with an almost

Valentin, L; International Ovarian Tumor Analysis Group (2005). "Logistic regression model to distinguish between the benign and malignant adnexal mass

to use statistical techniques such as discriminant functions or logistic regression equations based on these sex differences to estimate the usefulness

investigate this further, we applied a novel principal components multiple logistic regression test to Bayesian serial coalescent simulations. The analysis supported

Jaccard distance cluster analysis and text mining based on binary logistic regression. In the context of the big deal cancellations by several library

"Predicting mayfly recovery in acid mine-impaired streams using logistic regression models of in-stream habitat and water chemistry". Environmental Monitoring

Payne (2011). "Acidification, anoxia, and extinction: A multiple logistic regression analysis of extinction selectivity during the Middle and Late Permian"

neurotransmitter influences this unique behavior, because a binary logistic regression model used in these studies for the behavioral assay focused mostly

architectures, whereas HyFDCA is designed for convex problems like logistic regression and support vector machines. HyFDCA is empirically benchmarked against

original (PDF) on November 2, 2021. Using the New Zealand data... logistic regression analysis [showed considerable] statistical uncertainty... The Victorian

more specifically, functional binary regression, such as functional logistic regression for binary responses, are commonly used classification approaches

but that "after adjustment for socioeconomic factors by multiple logistic regression, there was no increased risk of impaired growth among the DMPA-exposed

effect of context-sensitivity could be observed both in a multiple logistic regression and in a hierarchical regression model. In the latter case, context-sensitivity

GentleBoost and a latency-aware learning formulation to train a logistic regression-based classifier and explored the accuracy-latency trade-off for

potential desertification-prone areas in North-Eastern Algeria using logistic regression model, GIS, and remote sensing techniques". Environmental Earth Sciences

ML algorithms to capture different feature relationships (e.g., logistic regression followed by support vector machines). Final predictions reflect accumulated

alpha-l-fucosidase, alpha-fetoprotein and thymidine kinase 1 with ROC and logistic regression for hepatocellular carcinoma". FEBS Open Bio. 5: 240–4. doi:10.1016/j