Results 51 to 60 of about 1,754,722 (270)

Urban Noise Analysis Using Multinomial Logistic Regression [PDF]

Journal of Transportation Engineering, 2016
AbstractThe research uses a database of urban noise data collected continually from April 2013 to March 2014 at 10 sites in Dublin, Ireland. The first objective of the paper is to investigate if the morning daily noise level peak is related to transport characteristics of households, such as car ownership levels, the mode by which people travel to work,
O'MAHONY, MARGARET, GERAGHTY, THOMAS
openaire   +3 more sources

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

A logistic regression analysis of risk factors in ME/CFS pathogenesis

BMC Neurology, 2019
Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis.
Eliana M. Lacerda, Keith Geraghty, Caroline C. Kingdon, Luigi Palla, Luis Nacul   +4 more
doaj   +1 more source

A Study of Panel Logit Model and Adaptive Neuro-Fuzzy Inference System in the Prediction of Financial Distress Periods [PDF]

, 2010
The purpose of this paper is to present two different approaches of financial distress pre-warning models appropriate for risk supervisors, investors and policy makers. We examine a sample of the financial institutions and electronic companies of Taiwan
Giovanis, Eleftherios
core  

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

A Modified Half‐Logistic Distribution With Regression Analysis

Engineering Reports
This study introduces the power odd Lindley half‐logistic distribution (POLiHLD), a novel statistical distribution developed to provide enhanced flexibility for modeling diverse data sets.
Eslam Hussam, Ramy A. Aldallal, Laxmi Prasad Sapkota, Ahmed M. Gemeay   +3 more
doaj   +1 more source

Analysis of Young Drivers’ Confidence and Behaviour: Binary Logistic Regression Approach [PDF]

Journal of South Asian Logistics and Transport
Road crashes are a global concern, and they disproportionately affect younger drivers due to their inexperience and risk-taking behaviour. In Sri Lanka, the higher risk of traffic crashes among younger drivers underscores the need for researchers to ...
Niranga Amarasingha, S. M. Chandrasiri
doaj   +1 more source

Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis

Sichuan jingshen weisheng, 2022
The purpose of the paper was to introduce how to reasonably carry out multiple Logistic regression analysis combined with the average treatment effect analysis.
Hu Chunyan, Hu Liangping
doaj   +1 more source

Logistic regression analysis of employment behavior data using randomized response technique [PDF]

, 2011
Direct survey techniques deal with collecting information on sensitive issues data, such as induced abortion, drug addiction, and so on. RR (randomized response) techniques are available for many interviewees, who do not feel comfortable to disclose ...
Midi, Habshah, Qureshi, Naeem A., Suthar, Velo   +2 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source