Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

24 results for “Regression Curve”
Set a search alert
Research ArticleOpen accessPhrase in the titleBiomarker Quantitation: Analytical Considerations for Ligand Binding Assay Regression Curves and Quality Control SamplesMark DysingerAs biomarkers grow in relevance for both the design and support of therapeutics and the clinical trials associated with them, there is an ever increasing need for accurate quantitation of these biochemical entities in biological matrices. While quantifying many biotherapeutics via ligand binding assay platforms can be fairly straightforward, biomarkers present some unique challenges that must be taken into account … …American Journal of Immunology, Vol. 8, Issue 3 · 25 Aug 2012 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Applicability of the Short-run Phillips curve to NamibiaCyril A. OgbokorIn this research, we invoke linear and logarithmic regression models to empirically test the validity of the Short-run Phillips curve for Namibia by relying on macroeconomic time-series data running from 1991 to 2005.Our results offer some support for the presence of the phenomenon of stagflation in Namibia. This is rather contradictory to the underlying philosophy of the original Phillips curve. … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,211 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison of Probability Curves Obtained from 2 Quantitative Allergen-specific IgE Assays: FEIA and 3gAllergyTMT. M. Li, T. Chuang, S. M. Li, D. Hovanec-BurnsThe validity and benefit of probability curves in allergen-specific IgE (sIgE) testing and their applicability to more than a few allergens are still pending. One study[1] presented probability curves for 4 food allergens and proposed decision points to rule out the need for food challenges in his clinic. Since then, such cutoffs were reported by Boyano-Martinez[2] to be dependent on … …American Journal of Immunology, Vol. 1, Issue 2 · 30 Jun 2005 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence and Mathematical Modelling-Based Techniques to Improve Social Media MarketingKiran Chaudhary, Mohammad Naquibur Rahman, Nabeela Hasan et al.The Businessperson is using social media to do marketing of their product. Almost all people use social media. Most people relate to social media. Social media marketing is beneficial in making the product more popular and easy ways to introduce the product to everyone in economical ways. In this study, we introduce the concept of machine learning and mathematical models … …Journal of Computer Science, Vol. 21, Issue 1 · 5 Dec 2024 · 5,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,032 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of a Beta Regression Model for Covariate Adjusted ROCXing Meng, J.D. TubbsThe Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC have been utilized in a Generalized Linear Regression (GLM) setting. In this study, we revisit a problem where the AUC regression model … …Current Research in Biostatistics, Vol. 10, Issue 1 · 18 Jun 2020 · 13,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessIn the abstractWillingness to Pay for Water Hyacinth Control in NepalUmesh Khatri, Resham Bahadur Thapa-Parajuli, Uttam PaudelWater Hyacinth (WH) has become a growing problem across Asia, specifically in Nepal. Infestations of this weed have reached critical proportions in freshwater bodies, causing environmental, economic, agricultural and social problems. These problems have corresponding monetary values. This study elicits the willingness of visitors and local people to control WH in the Phewa Lake in Nepal. Considering three scenarios encircling … …American Journal of Environmental Sciences, Vol. 14, Issue 5 · 14 Nov 2018 · 8,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpline Estimator for Bi-Responses and Multi-Predictors Nonparametric Regression Model in Case of Longitudinal DataAdji Achmad Rinaldo Fernandes, I Nyoman Budiantara, Bambang Widjanarko Otok, SuhartonoNonparametric regression approach is used when the shape of the curve regression is unknown. The spline estimator approach for longitudinal data can accommodate the correlation between observations within the same subject, which is not found in the cross-section data, so that the autocorrelation assumption problem can be resolved. On the other hand, with bi-responses approach, it will accommodate any correlation … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 8 Oct 2015 · 7,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractDrug-Protein Interactions for Clinical Research by Nucleic Acid Programmable Protein Arrays-Quartz Crystal Microbalance with Dissipation Factor Monitoring Nanoconductometric AssayClaudio Nicolini, Rosanna Spera, Nicola Luigi Bragazzi, Eugenia PechkovaConductometric monitoring of drug-gene and drug-protein interactions is of fundamental importance in the field of molecular pharmacology. Here, we present our main findings and characterizations of an important antiblastic used in neuro-oncology (Temozolomide), interacting with selected proteins that represent predictive biomarkers of the rate survival of the patients, of the outcome of chemotherapy and resistance to drug itself (namely, BRIP1 … …American Journal of Biochemistry and Biotechnology, Vol. 10, Issue 3 · 17 Nov 2014 · 8,506 accessesView PDFCite