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Using R in experimental design with BIBD: an application in health sciences

2016-06-08Conference object Restricted access
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datacite.subject.sdg03:Saúde de Qualidadept_PT
dc.contributor.authorOliveira, Teresa
dc.contributor.authorFrancisco, Carla
dc.contributor.authorOliveira, Amilcar
dc.contributor.authorFerreira, Agostinho
dc.date.accessioned2023-08-01T15:27:24Z
dc.date.available2023-08-01T15:27:24Z
dc.date.issued2016-06-08
dc.description.abstractConsidering the implementation of an Experimental Design, in any field, the experimenter must pay particular attention and look for the best strategies in the following steps: planning the design selection, conduct the experiments, collect observed data, proceed to analysis and interpretation of results. The focus is on providing both - a deep understanding of the problem under research and a powerful experimental process at a reduced cost. Mainly thanks to the possibility of allowing to separate variation sources, the importance of Experimental Design in Health Sciences is strongly recommended since long time. Particular attention has been devoted to Block Designs and more precisely to Balanced Incomplete Block Designs - in this case the relevance states from the fact that these designs allow testing simultaneously a number of treatments bigger than the block size. Our example refers to a possible study of inter reliability of the Parkinson disease, taking into account the UPDRS (Unified Parkinson’s disease rating scale) in order to test if there are significant differences between the specialists who evaluate the patients performances. Statistical studies on this disease were described for example in Richards et al (1994), where the authors investigate the inter-rater Reliability of the Unified Parkinson’s Disease Rating Scale Motor Examination. We consider a simulation of a practical situation in which the patients were observed by different specialists and the UPDRS on assessing the impact of Parkinson’s disease in patients was observed. Assigning treatments to the subjects following a particular BIBD(9,24,8,3,2) structure, we illustrate that BIB Designs can be used as a powerful tool to solve emerging problems in this area. Once a structure with repeated blocks allows to have some block contrasts with minimum variance, see Oliveira et al. (2006), the design with cardinality 12 was selected for the example. R software was used for computations.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1063/1.4951815pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/14688
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAIP Publishingpt_PT
dc.relation2014 - Strategic Project
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBIBDpt_PT
dc.subjectHealth sciencespt_PT
dc.subjectExperimental designpt_PT
dc.subjectR softwarept_PT
dc.titleUsing R in experimental design with BIBD: an application in health sciencespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitle2014 - Strategic Project
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FMAT%2FUI0006%2F2014/PT
oaire.citation.conferencePlaceRodespt_PT
oaire.citation.titleICNAAM 2015. AIP Conference Proceedingspt_PT
oaire.citation.volume1738pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameOliveira
person.familyNameGonçalves Francisco
person.familyNameOliveira
person.givenNameTeresa Azinheira
person.givenNameCarla Susete
person.givenNameAmilcar
person.identifier1155497
person.identifier.ciencia-id8814-A54B-12DE
person.identifier.ciencia-id3719-3D1B-2F39
person.identifier.ciencia-id7110-61B4-B87F
person.identifier.orcid0000-0003-3283-9946
person.identifier.orcid0000-0001-7136-6438
person.identifier.orcid0000-0001-5500-7742
person.identifier.ridJ-3077-2019
person.identifier.scopus-author-id54403540300
person.identifier.scopus-author-id55675222550
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82b3cd70-88cc-4d31-b4b0-4705f8496c67
relation.isAuthorOfPublicationb87c152b-ddf8-4e73-b057-abc80fbb58ba
relation.isAuthorOfPublication1c873476-22fd-4331-8286-ff5576ac3b0c
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