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11	Some Issues in Using PROC LOGISTIC for Binary Logistic Regression by David C. Schlotzhauer Contents Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Regression analysis Logistic regression Logit Odds ratio Probit model Statistical classification Dependent and independent variables Multinomial logistic regression Dummy variable
12	CALCULATING MARGINAL PROBABILITIES IN PROC PROBIT Guy Pascale, Memorial Health Alliance Introduction The PROBIT procedure within the SAS system provides a simple method for estimating discrete choice Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Probability distributions Single-equation methods Regression analysis Statistical models Estimation theory Logit Discrete choice Probit Logistic distribution Normal distribution Linear probability model
13	Assessing complex route choice models using mental representations Evanthia Kazagli Michel Bierlaire TRANSP-OR, EPFL Add to Reading List Source URL: www.strc.ch Language: English - Date: 2016-06-11 10:36:19 Statistics Statistical models Choice modelling Transportation planning Discrete choice Logit Magnetic resonance imaging Route assignment Logistic regression Constructible universe
14	SVD Feature Selection for Probabilistic Taxonomy Learning Fallucchi Francesca Disp, University “Tor Vergata” Rome, Italy Add to Reading List Source URL: art.uniroma2.it Language: English - Date: 2013-05-28 06:48:51 Algebra Statistics Mathematics Regression analysis Actuarial science Estimation theory Statistical models Latent semantic analysis Natural language processing Singular value decomposition Logit Logistic regression
15	Stata-Introduktion -> xi: logistic test sr5a if sportn == 1 Logit estimates Number of obs Add to Reading List Source URL: www.epidata.dk Language: Danish - Date: 2004-06-16 15:18:47
16	CHAPTER 2 Item Characteristic Curve Models Chapter 2: Item Characteristic Curve Models Add to Reading List Source URL: echo.edres.org Language: English - Date: 2003-02-12 10:17:08 Statistics Psychometrics Statistical models Item response theory Logistic function Logit Parameter Differential item functioning Rasch model
17	Chapter 8 Categorical covariates In this chapter we discuss how to incorporate categorical covariates into a regression model. 8.1 Add to Reading List Source URL: www.isqr.uni-freiburg.de Language: English - Date: 2012-10-18 08:05:31 Statistics Regression analysis Linear regression Logistic regression Dummy variable Logit Confounding Propensity score matching Vector generalized linear model
18	On the Relevance of Irrelevant Alternatives ∗ Austin R. Benson Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-02-02 15:50:14 Regression analysis Statistical models Single-equation methods Choice modelling Discrete choice Multinomial logistic regression Independence of irrelevant alternatives Logit Logistic regression Mode choice NLOGIT
19	Calibrating a cellular automata model for understanding rural–urban land conversion: a Pareto front-based multi-objective optimization approach Add to Reading List Source URL: www.public.asu.edu Language: English - Date: 2013-12-24 15:35:17 Mathematical optimization Regression analysis Multi-objective optimization Logistic regression Calibration Spatial analysis Genetic algorithm Artificial neural network Logit Calibrated probability assessment Conceptual model
20	On Nesting Location Choice Models Correctly: A Reply to Herger and McCorriston (Economics Letters, 2013)∗ Kurt Schmidheiny‡ Marius Br¨ Add to Reading List Source URL: kurt.schmidheiny.name Language: English - Date: 2015-03-04 02:48:53 Statistical models Regression analysis Categorical data Logit Discrete choice Logistic regression