Optimal designs for binary data under logistic regression

2001 ◽  
Vol 93 (1-2) ◽  
pp. 295-307 ◽  
Author(s):  
Thomas Mathew ◽  
Bikas Kumar Sinha
Keyword(s):  
Logistic Regression ◽  
Binary Data ◽  
Optimal Designs

On the Choice of a Prior for Bayesian D-Optimal Designs for the Logistic Regression Model with a Single Predictor

2014 ◽  
Vol 43 (7) ◽  
pp. 1811-1824 ◽  
Author(s):  
Haftom T. Abebe ◽  
Frans E. S. Tan ◽  
Gerard J. P. Van Breukelen ◽  
Jan Serroyen ◽  
Martijn P. F. Berger
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Optimal Designs ◽  
Single Predictor

scholarly journals PEMODELAN DAYA TAHAN BELAJAR MAHASISWA PENDIDIKAN TINGGI JARAK JAUH DENGAN PENDEKATAN REGRESI LOGISTIK BINER (STUDI KASUS: MAHASISWA FAKULTAS EKONOMI JURUSAN MANAJEMEN)

2011 ◽  
Vol 12 (2) ◽  
pp. 57-67
Author(s):  
Dewi Juliah Ratnaningsih
Keyword(s):  
Logistic Regression ◽  
Binary Data ◽  
Study Time ◽  
Statistical Data Analysis ◽  
Grade Point ◽  
First Semester ◽  
Explanatory Variables ◽  
The Relationship ◽  
Length Of Study

Students’ persistence is the ability of students to survive in carrying out the study. In Universitas Terbuka (UT), there are no real dropped out student, but there are considered as non-active or non persistence students. Length of study time among UT’s students can be divided into binary data categories, which are valued as persistence (1) and non persistence (0). Logistic regression analysis is one type of statistical data analysis to be used for binary data. The purposes of writing this article are to identify the factors which influence the length of study time among students of the Department of Management, Faculty of Economics in UT, and to determine appropriate model in order to explain the relationship between the response variables (length of study time) with explanatory variables using logistic regression. The method used in this research is a case study with a number of samples as 2,936 college students. The result of the study shows that the factors influence the length of study time with alpha levels 0.05 are: age, the number of the courses taken, the employment status of the student, the participation in tutorials, the first semester achievement index, and the cumulative grade point.

An Introduction to Optimal Design

2013 ◽  
Vol 221 (3) ◽  
pp. 124-144 ◽  
Author(s):  
Heinz Holling ◽  
Rainer Schwabe
Keyword(s):  
Logistic Regression ◽  
Optimal Design ◽  
Linear Model ◽  
Statistical Models ◽  
Explanatory Variable ◽  
General Linear Model ◽  
Optimal Designs ◽  
Basic Design ◽  
Research Questions ◽  
Simple Regression

In this article we give an elementary introduction to optimal design for some basic statistical models. Research questions coming from a project on dyscalculia are used as illustrative examples throughout this article. First, basic design issues are considered for the t-test and simple regression and then extended to the general linear model. Finally, we will outline optimal designs for nonlinear statistical models. As a simple example, logistic regression with a binary explanatory variable is used.

Nonlinear logistic regression mixture experiment modeling for binary data using dimensionally reduced components

2019 ◽  
Vol 36 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Bryan A. Stanfill ◽  
Greg F. Piepel ◽  
John D. Vienna ◽  
Scott K. Cooley
Keyword(s):  
Logistic Regression ◽  
Binary Data ◽  
Mixture Experiment ◽  
Regression Mixture
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