Literature DB >> 6648121

Bias correction in maximum likelihood logistic regression.

R L Schaefer.   

Abstract

This paper provides an expression for bias of the maximum likelihood logistic regression estimates for use with small sample sizes. This bias correction is based on an expansion of the maximum likelihood equation. Simulation results show these corrections to be highly effective in small samples.

Mesh：

Year:  1983        PMID： 6648121     DOI： 10.1002/sim.4780020108

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  9 in total

1.  A Solution to Separation and Multicollinearity in Multiple Logistic Regression.

Authors:  Jianzhao Shen; Sujuan Gao
Journal:  J Data Sci       Date:  2008-10-01

2.  On Latent Trait Estimation in Multidimensional Compensatory Item Response Models.

Authors:  Chun Wang
Journal:  Psychometrika       Date:  2014-03-07       Impact factor: 2.500

3.  A statistical method for studying correlated rare events and their risk factors.

Authors:  Xiaonan Xue; Mimi Y Kim; Tao Wang; Mark H Kuniholm; Howard D Strickler
Journal:  Stat Methods Med Res       Date:  2015-04-08       Impact factor: 3.021

4.  On estimation for accelerated failure time models with small or rare event survival data.

Authors:  Tasneem Fatima Alam; M Shafiqur Rahman; Wasimul Bari
Journal:  BMC Med Res Methodol       Date:  2022-06-11       Impact factor: 4.612

5.  Reducing Bias and Mean Squared Error Associated With Regression-Based Odds Ratio Estimators.

Authors:  Robert H Lyles; Ying Guo; Sander Greenland
Journal:  J Stat Plan Inference       Date:  2012-12-01       Impact factor: 1.111

6.  Performance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary data.

Authors:  M Shafiqur Rahman; Mahbuba Sultana
Journal:  BMC Med Res Methodol       Date:  2017-02-23       Impact factor: 4.615

7.  A modern maximum-likelihood theory for high-dimensional logistic regression.

Authors:  Pragya Sur; Emmanuel J Candès
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-01       Impact factor: 11.205

8.  Pilot study of pesticide knowledge, attitudes, and practices among pregnant women in northern Thailand.

Authors:  Alyson N Lorenz; Tippawan Prapamontol; Warangkana Narksen; Niphan Srinual; Dana B Barr; Anne M Riederer
Journal:  Int J Environ Res Public Health       Date:  2012-09-19       Impact factor: 3.390

9.  A Machine Learning Approach to Assess Differential Item Functioning in Psychometric Questionnaires Using the Elastic Net Regularized Ordinal Logistic Regression in Small Sample Size Groups.

Authors:  Vahid Ebrahimi; Zahra Bagheri; Zahra Shayan; Peyman Jafari
Journal:  Biomed Res Int       Date:  2021-12-15       Impact factor: 3.411
  9 in total

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