Literature DB >> 1925169

Multivariate probit analysis: a neglected procedure in medical statistics.

E Lesaffre1, G Molenberghs.   

Abstract

The multivariate probit model is designed to regress a vector of correlated quantal variables on a mixture of continuous and discrete predictors. Various applications can be found in the biological, economical and psychosociological literature, but the method is not yet widely used in medical applications. We reintroduce this model thereby showing its usefulness in medical problems. Software for this model is, however, not widely available. We have written a PC program to select predictors and estimate parameters in the multivariate probit framework. The performance and characteristics of the program are briefly illustrated.

Mesh:

Year:  1991        PMID: 1925169     DOI: 10.1002/sim.4780100907

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


  10 in total

1.  Selection effects and prevention program outcomes.

Authors:  Laura G Hill; Robert Rosenman; Vidhura Tennekoon; Bidisha Mandal
Journal:  Prev Sci       Date:  2013-12

2.  Regression analysis of correlated ordinal data using orthogonalized residuals.

Authors:  J Perin; J S Preisser; C Phillips; B Qaqish
Journal:  Biometrics       Date:  2014-08-18       Impact factor: 2.571

3.  Optimal Estimator for Logistic Model with Distribution-free Random Intercept.

Authors:  Tanya P Garcia; Yanyuan Ma
Journal:  Scand Stat Theory Appl       Date:  2015-08-06       Impact factor: 1.040

4.  ROBUST MIXED EFFECTS MODEL FOR CLUSTERED FAILURE TIME DATA: APPLICATION TO HUNTINGTON'S DISEASE EVENT MEASURES.

Authors:  Tanya P Garcia; Yanyuan Ma; Karen Marder; Yuanjia Wang
Journal:  Ann Appl Stat       Date:  2017-07-20       Impact factor: 2.083

5.  Clustering and variable selection in the presence of mixed variable types and missing data.

Authors:  C B Storlie; S M Myers; S K Katusic; A L Weaver; R G Voigt; P E Croarkin; R E Stoeckel; J D Port
Journal:  Stat Med       Date:  2018-05-17       Impact factor: 2.373

6.  Differences between husbands and wives in colonoscopy use: Results from a national sample of married couples.

Authors:  Ashwin A Kotwal; Diane S Lauderdale; Linda J Waite; William Dale
Journal:  Prev Med       Date:  2016-03-21       Impact factor: 4.018

7.  Two-part models for repeatedly measured ordinal data with "don't know" category.

Authors:  Ralitza Gueorguieva; Eugenia Buta; Meghan Morean; Suchitra Krishnan-Sarin
Journal:  Stat Med       Date:  2020-09-09       Impact factor: 2.373

8.  Antifungal Activity of Volatile Organic Compounds Produced by Bacillus methylotrophicus and Bacillus thuringiensis against Five Common Spoilage Fungi on Loquats.

Authors:  Chao-Nan He; Wan-Qiong Ye; Ying-Ying Zhu; Wen-Wen Zhou
Journal:  Molecules       Date:  2020-07-24       Impact factor: 4.411

9.  Statistical determination of synergy based on Bliss definition of drugs independence.

Authors:  Eugene Demidenko; Todd W Miller
Journal:  PLoS One       Date:  2019-11-25       Impact factor: 3.240

10.  Bioactivity of volatile organic compounds by Aureobasidium species against gray mold of tomato and table grape.

Authors:  A Di Francesco; J Zajc; N Gunde-Cimerman; E Aprea; F Gasperi; N Placì; F Caruso; E Baraldi
Journal:  World J Microbiol Biotechnol       Date:  2020-10-17       Impact factor: 3.312

  10 in total

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