Results 51 to 60 of about 3,742,082 (296)

Predicting Customer’s Satisfaction (Dissatisfaction) Using Logistic Regression [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2016
Customer satisfaction is a metric of how products and services offered by companies meet customer expectations. This performance indicator assists companies in managing and monitoring their business effectively.
Adarsh Anand, Gunjan Bansal
doaj   +1 more source

Group Logistic Regression Models with lp,q Regularization

open access: yesMathematics, 2022
In this paper, we proposed a logistic regression model with lp,q regularization that could give a group sparse solution. The model could be applied to variable-selection problems with sparse group structures. In the context of big data, the solutions for
Yanfang Zhang, Chuanhua Wei, Xiaolin Liu
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso   +5 more
wiley   +1 more source

Deforestation modelling using logistic regression and GIS

open access: yesJournal of Forest Science, 2015
A methodology has been used by means of which modellers and planners can quantify the certainty in predicting the location of deforestation. Geographic information system and logistic regression analyses were employed to predict the spatial distribution ...
M. Pir Bavaghar
doaj   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

open access: yesMolecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau   +9 more
wiley   +1 more source

Land Use Change Modelling Using Logistic Regression, Random Forest and Additive Logistic Regression in Kubu Raya Regency, West Kalimantan

open access: yesForum Geografi, 2023
Kubu Raya Regency is a regency in the province of West Kalimantan which has a wetland ecosystem including a high-density swamp or peatland ecosystem along with an extensive area of mangroves.
Alfa Nugraha Pradana   +2 more
doaj   +1 more source

Logistic Regression Diagnostics

open access: yesThe Annals of Statistics, 1981
A maximum likelihood fit of a logistic regression model (and other similar models) is extremely sensitive to outlying responses and extreme points in the design space. We develop diagnostic measures to aid the analyst in detecting such observations and in quantifying their effect on various aspects of the maximum likelihood fit.
openaire   +3 more sources

Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up

open access: yesMolecular Oncology, EarlyView.
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani   +7 more
wiley   +1 more source

Ionomycin suppresses cancer cell growth by disrupting mitochondrial transcription

open access: yesFEBS Open Bio, EarlyView.
In this study, we identify a new function for the selective Ca2+ ionophore, ionomycin, as an inhibitor of mitochondrial transcription. Both total and nascent RNA analyses revealed that ionomycin treatment reduces the transcription of mitochondrial genes.
Lishen Wang   +10 more
wiley   +1 more source

Targeting: Logistic Regression, Special Cases and Extensions

open access: yesISPRS International Journal of Geo-Information, 2014
Logistic regression is a classical linear model for logit-transformed conditional probabilities of a binary target variable. It recovers the true conditional probabilities if the joint distribution of predictors and the target is of log-linear form ...
Helmut Schaeben
doaj   +1 more source

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