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These models can incorporate the main effects of individual rows and columns, as well as cluster effects, to model the matrix of responses. However, many real-world applications also include available covariates, which provide insights into the main characteristics of the clusters and determine clustering structures based on both the individuals\u2019 similar patterns of responses and the effects of the covariates on the individuals' responses. In our research we have extended the mixture-based models to include covariates and test what effect this has on the resulting clustering structures. We focus on clustering the rows of the data matrix, using the proportional odds cumulative logit model for ordinal data. We fit the models using the Expectation-Maximization algorithm and assess performance using a simulation study. We also illustrate an application of the models to the well-known arthritis clinical trial data set.<\/jats:p>","DOI":"10.1007\/s00180-023-01387-9","type":"journal-article","created":{"date-parts":[[2023,7,22]],"date-time":"2023-07-22T10:01:56Z","timestamp":1690020116000},"page":"2511-2555","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Row mixture-based clustering with covariates for ordinal responses"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0057-9089","authenticated-orcid":false,"given":"Kemmawadee","family":"Preedalikit","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0012-2094","authenticated-orcid":false,"given":"Daniel","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3152-2632","authenticated-orcid":false,"given":"Ivy","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0536-8563","authenticated-orcid":false,"given":"Louise","family":"McMillan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7416-644X","authenticated-orcid":false,"given":"Marta","family":"Nai Ruscone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0818-5065","authenticated-orcid":false,"given":"Roy","family":"Costilla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,22]]},"reference":[{"key":"1387_CR1","doi-asserted-by":"crossref","unstructured":"Agresti A (2014) Analysis of ordinal categorical data, 3rd edn. 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Our research do not use or survey participants. All ethical conduct rules were followed. The analysed data used during the current study is obtained from the  package <i>multgee\u00a0<\/i> (Touloumis ).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}