Results 31 to 40 of about 1,921,898 (301)

A COMPARISON OF LOGISTIC REGRESSION AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION (GWLR) ON COVID-19 DATA IN WEST SUMATRA

Barekeng, 2023
An understanding of factors that affect the recovery time from a disease is important for the community, medical staff, and also the government. This research analyzed factors that affect the recovery time of Covid-19 sufferers in West Sumatra.
Irvanal Haq, Muhammad Nur Aidi, Anang Kurnia, Efriwati Efriwati   +3 more
doaj   +1 more source

Privacy-preserving logistic regression with secret sharing

BMC Medical Informatics and Decision Making, 2022
Background Logistic regression (LR) is a widely used classification method for modeling binary outcomes in many medical data classification tasks. Researchers that collect and combine datasets from various data custodians and jurisdictions can greatly ...
Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jiang   +2 more
doaj   +1 more source

A COMPARISON OF LOGISTIC REGRESSION, MIXED LOGISTIC REGRESSION, AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION ON PUBLIC HEALTH DEVELOPMENT IN JAVA

Barekeng
The Public Health Development Index (Indeks Pembangunan Kesehatan Masyarakat - IPKM) is a combined parameter that reflects progress in health development and is useful for determining areas that need assistance in improving health development.
Erwan Setiawan, Muhammad Azis Suprayogi, Anang Kurnia   +2 more
doaj   +1 more source

Leukemia prediction using sparse logistic regression.

PLoS ONE, 2013
We describe a supervised prediction method for diagnosis of acute myeloid leukemia (AML) from patient samples based on flow cytometry measurements. We use a data driven approach with machine learning methods to train a computational model that takes in ...
Tapio Manninen, Heikki Huttunen, Pekka Ruusuvuori, Matti Nykter   +3 more
doaj   +1 more source

Multicollinearity in Logistic Regression Model -Subject Review- [PDF]

المجلة العراقية للعلوم الاحصائية, 2020
:       The logistic regression model is one of the modern statistical methods developed to predict the set of quantitative variables (nominal or monotonous), and it is considered as an alternative test for the simple and multiple linear regression ...
Najlaa Saad Ibrahim, Nada Nazar Mohammed, Shaimaa Waleed   +2 more
doaj   +1 more source

Uncertain logistic regression models

AIMS Mathematics
Logistic regression is a generalized nonlinear regression analysis model and is often used for data mining, automatic disease diagnosis, economic prediction, and other fields.
Jinling Gao , Zengtai Gong
doaj   +1 more source

On Data-Enriched Logistic Regression

Mathematics
Biomedical researchers typically investigate the effects of specific exposures on disease risks within a well-defined population. The gold standard for such studies is to design a trial with an appropriately sampled cohort.
Cheng Zheng, Sayan Dasgupta, Yuxiang Xie, Asad Haris, Ying-Qing Chen   +4 more
doaj   +1 more source

Effects of chronic browsing on life‐history traits of an irruptive large herbivore population

Population Ecology, EarlyView.
This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji, Kazutaka M. Takeshita, Hiroshi Takahashi, Hiromasa Igota, Mayumi Ueno, Yukiko Matsuura, Takashi Ikeda, Ryo Yoshizawa, Hino Takafumi, Tsuyoshi Yoshida   +9 more
wiley   +1 more source

Enabling Equal Opportunity in Logistic Regression Algorithm

Management, 2023
Research Question: This paper aims at adjusting the logistic regression algorithm to mitigate unwanted discrimination shown towards race, gender, etc. Motivation: Decades of research in the field of algorithm design have been dedicated to making a better
Sandro Radovanović, Marko Ivić
doaj   +1 more source

Combining transient dynamics and logistic‐asymptotic growth to study the recovery of two seabird populations after rat eradication

Population Ecology, EarlyView.
This study examines the demographic dynamics of two seabird populations on Tromelin Island, 15 years after the eradication of brown rats. The results indicate that these populations are in good health and are expected to continue growing until breeding sites are saturated in about a century.
Merlène Saunier, Christophe Barbraud, Maxime Amy, Sabine Orlowski, Jean Hivert, Gabrielle Dicque, Matthieu Le Corre   +6 more
wiley   +1 more source