title: MIXOR: a computer program for mixed-effects ordinal regression analysis.
abstract: MIXOR provides maximum marginal likelihood estimates for mixed-effects ordinal probit, logistic, and complementary log-log regression models. These models can be used for analysis of dichotomous and ordinal outcomes from either a clustered or longitudinal design. For clustered data, the mixed-effects model assumes that data within clusters are dependent. The degree of dependency is jointly estimated with the usual model parameters, thus adjusting for dependence resulting from clustering of the data. Similarly, for longitudinal data, the mixed-effects approach can allow for individual-varying intercepts and slopes across time, and can estimate the degree to which these time-related effects vary in the population of individuals. MIXOR 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 effects of model covariates. Examples illustrating usage and features of MIXOR are provided.
authors: Division of Epidemiology and Biostatistics (M/C 922), School of Public Health and Prevention Research Center, University of Illinois at Chicago, IL 60612-7260, USA.
authors: D
authors: D
authors: Hedeker
authors: R D
authors: RD
authors: Gibbons
mesh_terms: D014150:Antipsychotic Agents / Q000627:therapeutic use; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D008137:Longitudinal Studies; D012044:Regression Analysis; D012559:Schizophrenia / Q000188:drug therapy; D012984:Software
chemical_list: D014150:Antipsychotic Agents