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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

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

Hidden Markov Model Based on Logistic Regression

Mathematics, 2023
A hidden Markov model (HMM) is a useful tool for modeling dependent heterogeneous phenomena. It can be used to find factors that affect real-world events, even when those factors cannot be directly observed.
Byeongheon Lee, Joowon Park, Yongku Kim
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

Supporting Regularized Logistic Regression Privately and Efficiently. [PDF]

PLoS ONE, 2016
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on.
Wenfa Li, Hongzhe Liu, Peng Yang, Wei Xie   +3 more
doaj   +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

Distributed Parallel Sparse Multinomial Logistic Regression

IEEE Access, 2019
Sparse Multinomial Logistic Regression (SMLR) is widely used in the field of image classification, multi-class object recognition, and so on, because it has the function of embedding feature selection during classification.
Dajiang Lei, Meng Du, Hao Chen, Zhixing Li, Yu Wu   +4 more
doaj   +1 more source

Sparse Multinomial Logistic Regression via Approximate Message Passing

, 2016
For the problem of multi-class linear classification and feature selection, we propose approximate message passing approaches to sparse multinomial logistic regression (MLR).
Byrne, Evan, Schniter, Philip
core   +1 more source

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash, Anis Rabbani Nourani, A. K. M. Fazlur Rahman, Dima Ezmigna, Tarig Ali‐Dinar   +4 more
wiley   +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