Logistic regression

Results: 1506



#Item
201

A comparison of numerical optimizers for logistic regression Thomas P. Minka October 22, 2003 (revised Mar 26, 2007) Abstract Logistic regression is a workhorse of statistics and is closely related to methods used in Mac

Add to Reading List

Source URL: research.microsoft.com

Language: English - Date: 2009-01-14 12:50:48
    202

    Large Scale Identification and Categorization of Protein Sequences Using Structured Logistic Regression Bjørn P. Pedersen1,2*., Georgiana Ifrim7., Poul Liboriussen1,3., Kristian B. Axelsen1,4, Michael G. Palmgren1,5, Po

    Add to Reading List

    Source URL: www.math.ku.dk

    Language: English - Date: 2014-01-22 06:13:37
      203

      The equivalence of logistic regression and maximum entropy models John Mount∗ September 23, 2011 Abstract

      Add to Reading List

      Source URL: www.win-vector.com

      Language: English - Date: 2012-02-08 14:09:35
        204

        The Estimation of Prediction Error: Covariance Penalties and Cross-Validation Bradley Efron ABSTRACT Having constructed a data-based estimation rule, perhaps a logistic regression or a classification tree, the statistici

        Add to Reading List

        Source URL: statweb.stanford.edu

        Language: English - Date: 2009-10-02 15:59:10
          205

          STATISTICS IN MEDICINE Statist. Med. 17, 1623—A SIMPLE METHOD OF SAMPLE SIZE CALCULATION FOR LINEAR AND LOGISTIC REGRESSION F. Y. HSIEH1*, DANIEL A. BLOCH2 AND MICHAEL D. LARSEN3

          Add to Reading List

          Source URL: personal.health.usf.edu

          Language: English - Date: 2008-03-26 16:41:19
            206

            Logistic Regression and Newton’s Method, Data Mining 18 November 2009 Readings in textbook: Sectionslogistic regression), sections 8.1 and 8.3 (optimization), andgeneralized linear models).

            Add to Reading List

            Source URL: www.stat.cmu.edu

            Language: English - Date: 2009-11-20 15:55:57
              207

              Paper ® How to Use SAS for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates Katherine Cai, Jeffrey Wilson, Arizona State University

              Add to Reading List

              Source URL: support.sas.com

              Language: English - Date: 2015-04-24 09:08:21
                208

                0.1 bprobit: Bivariate Logistic Regression for Two Dichotomous Dependent Variables Use the bivariate probit regression model if you have two binaryrun dependent variables (Y1 , Y2 ), and wish to model them jointly as a

                Add to Reading List

                Source URL: perso.md2t.eu

                Language: English
                  209

                  0.1 logit.mixed: Mixed effects logistic Regression Use generalized multi-level linear regression if you have covariates that are grouped according to one or more classification factors. The logit model is appropriate wh

                  Add to Reading List

                  Source URL: perso.md2t.eu

                  Language: English
                    210

                    [Ethics and Statistics] Andrew Gelman Column Editor How is Ethics Like Logistic Regression?

                    Add to Reading List

                    Source URL: www.stat.columbia.edu

                    Language: English - Date: 2015-03-26 20:47:00
                      UPDATE