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[{"key": "dc.contributor.advisor", "value": "Nordhausen, Klaus", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "Taskinen, Sara", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Markkanen, Merri-Lotta", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-08-03T05:51:06Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-08-03T05:51:06Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/88490", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "L\u00e4\u00e4ketieteen parissa perinteiset kyselytutkimukset ovat yh\u00e4 suosittuja, jonka my\u00f6t\u00e4 my\u00f6s j\u00e4rjestysasteikollisten muuttujien analyysia suoritetaan paljon. Modernin teknologian kehittyminen n\u00e4kyy kuitenkin my\u00f6s t\u00e4ll\u00e4 tieteensaralla, kun mittaustekniikoiden kehittyess\u00e4 funktionaalisen datan m\u00e4\u00e4r\u00e4 on kasvanut. T\u00e4m\u00e4n my\u00f6t\u00e4 j\u00e4rjestysasteikollisten muuttujienkin analyysissa yh\u00e4 useammin hy\u00f6dynnet\u00e4\u00e4n funktionaalista dataa, mm. j\u00e4rjestysasteikollisen muuttujan mallintamisessa. \n \nT\u00e4ss\u00e4 pro gradu-tutkielmassa halutaan vertailla kolmea erilaista menetelm\u00e4\u00e4 j\u00e4rjestysasteikollisen muuttujan mallintamiseksi funktionaalisten muuttujien avulla. Aineistona k\u00e4ytet\u00e4\u00e4n Tampereen yliopistollisen sairaalan hemodynamiikan tutkimusryhm\u00e4lt\u00e4 saatua aineistoa, josta halutaan mallintaa henkil\u00f6n itse m\u00e4\u00e4rittelem\u00e4 terveydentila tutkimuksessa mitattujen hemodynaamisten ja funktionaalisten muuttujien avulla.\n \n Sovitettaviksi malleiksi ollaan valittu kumulatiivinen logistinen regressiomalli verrannollisuusoletuksella, osittainen kumulatiivinen logistinen regressiomalli verrannollisuusoletuksella ja funktionaalinen ordinaalinen logistinen regressiomalli. Kahden ensimm\u00e4isen mallin kohdalla kovariaattien funktionaalisuus sivuutetaan suorittamalla funktionaalisille muuttujille p\u00e4\u00e4komponenttianalyysi. Mallien sovitus ja analyysien toteutus tehd\u00e4\u00e4n R-ohjelmalla. \n \nSaatujen tulosten perusteella parhaiten aineistoon sopii osittainen kumulatiivinen logistinen regressiomalli johtuen siit\u00e4, ett\u00e4 sen sis\u00e4lt\u00e4m\u00e4t oletukset eiv\u00e4t ole yht\u00e4 tiukat kuin kahdella muulla mallilla. Malleista huonoiten aineistoon tulosten perusteella istuu funktionaalinen ordinaalinen logistinen regressio, joka on malleista tuorein ja n\u00e4ytt\u00e4\u00e4 vaativan viel\u00e4 my\u00f6s kehitysty\u00f6t\u00e4, esim. kovariaattien valinnan suhteen.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Surveys, as well as ordinal variable analysis, are commonly used in the medical field. The development of modern technology has also resulted in the development of measurement techniques and the rise of functional data in medicine. It means that functional data is becoming more often used in the analysis of ordinal variables, such as modeling ordinal variables with functional covariates. \n \nIn this pro gradu -thesis, three strategies for modeling ordinal variables with functional variables are compared. This is carried out by fitting the models to data obtained from Tampere University Hospital's haemodynamic research group and modeling people's self-assessed health state using functional and haemodynamic variables. \n\nCompared models will be he proportional odds model, partial proportional odds model, and functional ordinal logistic regression model. With the first two models, principal component analysis is applied to haemodynamic variables, and their functionality is ignored. The R program is used for model fitting and analysis. \n \nBased on the results, the partial proportional odds model appears to be best fit for the data, because it does not have as strict assumptions as other models. Worst fit seems to be functional ordinal logistic regression model, which is newer model than others and it seems that it needs more developing, for example in the case of choosing of covariates.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2023-08-03T05:51:06Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-08-03T05:51:06Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "62", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "proportional odds model", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "partial proportional odds model", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "principal component analysis", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "functional ordinal logistic regression model", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Comparison of three ordinal logistic regression methods for predicting person\u2019s self-assessed health status with functional, haemodynamic covariates", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202308034605", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Matemaattis-luonnontieteellinen tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Sciences", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Matematiikan ja tilastotieteen laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Mathematics and Statistics", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tilastotiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Statistics", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "4043", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "regressioanalyysi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tilastomenetelm\u00e4t", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tilastotiede", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tilastolliset mallit", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "regression analysis", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "statistical methods", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "statistics (discipline)", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "statistical models", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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