MIXNO: A Computer Program for Mixed-Effects Nominal Logistic Regression | Zendy

Donald Hedeker | Zendy

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MIXNO: A Computer Program for Mixed-Effects Nominal Logistic Regression

Author(s) -

Donald Hedeker

Publication year - 1999

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v004.i05

Subject(s) - cholesky decomposition , statistics , marginal model , random effects model , mixed model , restricted maximum likelihood , logistic regression , generalized linear mixed model , marginal likelihood , covariance matrix , variance (accounting) , mathematics , econometrics , covariance , computer science , analysis of covariance , maximum likelihood , regression analysis , medicine , eigenvalues and eigenvectors , physics , meta analysis , accounting , quantum mechanics , business

MIXNO provides maximum marginal likelihood estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated nominal response data, for example, data arising from a clustered or longitudinal design. For such data, the mixed-effects model assumes that data within clusters or sub jects are dependent. The degree of dependency is jointly estimated with the usual model parameters, thus adjusting for dependence resulting from nesting of the data. MIXNO uses marginal maximum likelihood estimation, utilizing a Fisher-scoring solution. For the scoring solution, the Cholesky factor of the random-effects variance-covariance matrix is estimated along with the (fixed) effects of explanatory variables. Examples illustrating usage and features of MIXNO are provided.

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