Results 61 to 70 of about 122,058 (167)

Assessing Deprivation with an Ordinal Variable

, 2020
The challenges associated with poverty measurement using a cardinal variable have received much attention over the past four decades, but there is a dearth of literature on how to meaningfully assess poverty with an ordinal variable. This article proposes a class of simple, intuitive, and policy-relevant poverty measures for ordinal variables.
Seth, Suman, Yalonetzky, Gaston
openaire   +3 more sources

Application of the Ordinal Logistic Regression Models in Quality of life Studies

مجله اپیدمیولوژی ایران, 2014
Background & Objectives: Due to the increasing tendency to measure the quality of life in recent years and the extensive quality of life questionnaires, it is important to determine the appropriate method of analyzing data derived from these studies. The
Z Asadollahi, P Jafari, M Rezaeian
doaj  

Genetic algorithm-based cyclic encoding for improved nonlinear regression load forecasting

Journal of Electrical Systems and Information Technology
Load forecasting provides a means to anticipate electricity consumption patterns. The expected patterns, such as load consumption, help stakeholders in power industries attain effective electricity management from the output of the forecasting process ...
Hussein Abubakar Bakiri, Hadija Ramadhani Mbembati   +1 more
doaj   +1 more source

PENERAPAN REGRESI LOGISTIK ORDINAL UNTUK MENGANALISIS TINGKAT KEPARAHAN KORBAN KECELAKAAN LALU LINTAS KABUPATEN BULELENG

E-Jurnal Matematika, 2015
Ordinal logistic regression is a statistical method for analyzing the respone variables that have an ordinal scale consisting of three or more categories. This method is an extension of logistic regression with a binary respone variable.
DEWA AYU MADE DWI YANTI PURNAMI, I KOMANG GDE SUKARSA, G. K. GANDHIADI   +2 more
doaj  

Multiple imputation for missing values in ordinal variables from cancer registry data when performing Cox proportional hazards regression. [PDF]

BMC Med Res Methodol
Kästner A, Hoffmann W, Hüsing J, Stang A, Hüsing A.   +4 more
europepmc   +1 more source

Why the binary latent growth model is not a special case of the ordinal latent growth model: Theoretical arguments and empirical evidence. [PDF]

Behav Res Methods
Lim K, Kim SY.
europepmc   +1 more source

Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning. [PDF]

PLoS One
Lee EJ, Kim S, Lee HJ, Jhong JH.
europepmc   +1 more source

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study. [PDF]

J Med Internet Res
Fernandes M, Turley N, Sun H, Mukerji SS, Moura LMVR, Westover MB, Zafar SF.   +6 more
europepmc   +1 more source

Spiritual Coping and Duration Since Diagnosis Associated With Quality of Life Among Women With HIV: A Cross-Sectional Study. [PDF]

AIDS Res Treat
Muchsin R, Yunitasari E, Bakar A, Hati Y.   +3 more
europepmc   +1 more source

Prediction of Clinically Significant Depressive Symptoms at 2-Year Follow-Up in Older Adults: Machine Learning Study Using the English Longitudinal Study of Ageing. [PDF]

JMIR Form Res
Khorram B, Nilforooshan R, Barnaghi P, Kouchaki S.   +3 more
europepmc   +1 more source