Results 171 to 180 of about 1,921,898 (301)

Locally asymptotically optimal designs for testing in logistic regression [PDF]

, 2001
M. C. Spruill, Renjin Tu
openalex   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source

Ascites complications risk factors of decompensated cirrhosis patients: logistic regression and prediction model. [PDF]

BMC Gastroenterol
Zheng X, Wei W.
europepmc   +1 more source

Clinical Evaluation of Idiopathic Interstitial Pneumonia and Interstitial Pneumonia Associated with Collagen Vascular Disease using Logistic Regression Analysis.

, 2000
Shinichi Ishioka, Kimihiko Nakamura, Akihiro Maeda, Keiko Hiyama, Kenichiro Watanabe, Hiroyuki Maeda, Norihiko Hayakawa, Michio Yamakido   +7 more
openalex   +2 more sources

Comparison of ‘pattern recognition’ and logistic regression models for discrimination between benign and malignant pelvic masses: a prospective cross validation [PDF]

, 2001
L. Valentin, Bjørn Hagen, Solveig Tingulstad, S. H. Eik‐Nes   +3 more
openalex   +1 more source

Exploring the relationship between growth in online shopping and multichannel food consumers

Applied Economic Perspectives and Policy, EarlyView.
Abstract During the pandemic, many food retailers began offering online shopping options, primarily in reaction to rising consumer demand for such options, which was a response to supply chain disruptions and fear of contagion and food scarcity.
Mackenzie Gill, Dawn Thilmany
wiley   +1 more source

Prediction of future aging-related slow gait and its determinants with deep learning and logistic regression. [PDF]

PLoS One
Deatsch A, McKenna M, Palumbo J, Tian Q, Simonsick E, Ferrucci L, Jeraj R, Spencer RG.   +7 more
europepmc   +1 more source

Robust Logistic Regression for Binomial Responses

, 2000
Maria‐Pia Victoria‐Feser
openalex   +2 more sources

Reduction in mortality after inappropriate early discharge from intensive care unit: logistic regression triage [PDF]

, 2001
Kathleen Daly
openalex   +1 more source

Risk Factors and Predictive Models for Sarcopenia in Older Adults

AGING MEDICINE, EarlyView.
Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao   +9 more
wiley   +1 more source