{"data":{"id":"10.6084/m9.figshare.1206367.v2","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1206367.v2","prefix":"10.6084","suffix":"m9.figshare.1206367.v2","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Divan Aristo Burger","affiliation":[],"nameIdentifiers":[]},{"name":"Schall, Robert","nameType":"Personal","givenName":"Robert","familyName":"Schall","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"A Bayesian Non-Linear Mixed Effects Regression Model for the Characterisation of Early Bactericidal Activity of Tuberculosis Drugs"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2014,"subjects":[{"subject":"Earth and Environmental Sciences"},{"subject":"110309 Infectious Diseases","subjectScheme":"FOR"},{"subject":"FOS: Health sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Health sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Mathematics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Biological Sciences"},{"subject":"Biotechnology"}],"contributors":[],"dates":[{"date":"2014-12-07","dateType":"Created"},{"date":"2016-01-19","dateType":"Updated"},{"date":"2014","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/10543406.2014.971170","relatedIdentifierType":"DOI"},{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.1206367","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["4872920 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"ABSTRACTTrials of the early bactericidal activity (EBA) of tuberculosis (TB) treatments assess the decline, during the first few days to weeks of treatment, in colony forming unit (CFU) count of \u003ci\u003eMycobacterium tuberculosis\u003c/i\u003e in the sputum of patients with smear-microscopy-positive pulmonary TB. Profiles over time of CFU data have conventionally been modelled using linear, bi-linear or bi-exponential regression. We propose a new bi-phasic non-linear regression model for CFU data that comprises linear and bi-linear regression models as special cases, and is more flexible than bi-exponential regression models. A Bayesian non-linear mixed effects (NLME) regression model is fitted jointly to the data of all patients from a trial, and statistical inference about the mean EBA of TB treatments is based on the Bayesian NLME regression model. The posterior predictive distribution of relevant slope parameters of the Bayesian NLME regression model provides insight into the nature of the EBA of TB treatments; specifically, the posterior predictive distribution allows one to judge whether treatments are associated with mono-linear or bi-linear decline of log(CFU) count, and whether CFU count initially decreases fast, followed by a slower rate of decrease, or \u003ci\u003evice versa.\u003c/i\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://tandf.figshare.com/articles/dataset/A_Bayesian_Non_Linear_Mixed_Effects_Regression_Model_for_the_Characterisation_of_Early_Bactericidal_Activity_of_Tuberculosis_Drugs/1206367/2","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"ver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