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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

Modeling Tenant’s Credit Scoring Using Logistic Regression

SAGE Open, 2023
This study implements the multivariable logistic regression to develop a credit scoring model based on tenants’ characteristics. The credit history of tenant is not considered.
Kim Sia Ling, Siti Suhana Jamaian, Syahira Mansur, Alwyn Kwan Hoong Liew   +3 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

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad, Ohad Atia, Osama Tanous, Dafna Brik Simon, Michal Dvori, Miriam Cohen, Tracie A. Goldberg, Efraim Bilavsky, Joanne Yacobovich, Orna Steinberg‐Shemer   +9 more
wiley   +1 more source

The extreme residuals in logistic regression models [PDF]

, 1985
Goodness of fit tests for logistic regression models using extreme residuals are considered. Moment properties of the Pearson residuals are developed and used to define modified residuals, for the cases when the model fit is made by maximum ...
Z. Al-sarraf, Al-Sarraf, Z, Young, D H, D. H. Young   +3 more
core  

Logistic regression: Part 2 [PDF]

, 2017
In the previous article (Pandis N. Logistic regression: Part 1. Am J Orthod Dentofacial Orthop 2017;151:824-5), I introduced logistic regression and showed how it can be used as an alternative to the chi-square test.
Pandis, Nikolaos, Nikolaos Pandis, Pandis N   +2 more
core   +2 more sources

Correlating sensors and activities in an intelligent environment: A logistic regression approach [PDF]

, 2003
An important problem in intelligent environments is how the system can identify and model users' activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment.
Friday, Adrian, Boddupalli, Prasad, Davies, Nigel, Al-Bin-Ali, Fahd   +3 more
core   +4 more sources

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

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau, Kimberly Buff, Michele A. Scialla, Kimberly S. Canter, Lori Wiener, Victoria Sardi‐Brown, Julia B. Tager, Kamyar Arasteh, Anne E. Kazak   +8 more
wiley   +1 more source

Influencing Elections with Statistics: Targeting Voters with Logistic Regression Trees [PDF]

, 2012
Political campaigning has become a multi-million dollar business. A substantial proportion of a campaign's budget is spent on voter mobilization, i.e., on identifying and influencing as many people as possible to vote.
Jank, Wolfgang, Zeileis, Achim, Rusch, Thomas, Lee, Ilro, Hornik, Kurt   +4 more
core   +1 more source