Search results for "time models"

showing 2 items of 2 documents

On Temporal Aspects in Cross-Cultural e-Collaboration Between Finland and Japan Research Teams

2018

Time is an essential dimension in cross-cultural e-collaboration among research project teams. Understanding temporal aspects and project dynamics in cross-cultural research e-collaboration and related processes can improve team members' skills in cross-cultural communication and increase their cultural competence. The present case cultures are Finnish and Japanese, and the case universities are the University of Jyväskylä (Finland) and Keio University (Japan). Three issues are addressed in this article. First, cultural dimensions and time models in the cross-cultural e-collaboration context are discussed. Second, temporal aspects related to e-collaboration activities are introduced. Third,…

temporaalisuusComputer Networks and Communicationse-collaboration050109 social psychologykulttuurienvälinen viestintä02 engineering and technologyyhteistyöWorld Wide WebJapanOWL-timekulttuuriMultidisciplinary approachcross-cultural communicationSuomi0202 electrical engineering electronic engineering information engineeringCross-culturalulottuvuus0501 psychology and cognitive sciencesHofstede's cultural dimensions theorySociologykulttuuriosaaminenFinlandcultural dimensionsThesaurus (information retrieval)monitieteisyysTime ontologyJapani05 social sciencestime ontologytemporal entitiesComputer Science ApplicationsTemporal Regionstime modelsaika020201 artificial intelligence & image processingco-operationmultidisciplinarytemporal regionsInternational Journal of e-Collaboration
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Bayesian analysis of a disability model for lung cancer survival

2016

Bayesian reasoning, survival analysis and multi-state models are used to assess survival times for Stage IV non-small-cell lung cancer patients and the evolution of the disease over time. Bayesian estimation is done using minimum informative priors for the Weibull regression survival model, leading to an automatic inferential procedure. Markov chain Monte Carlo methods have been used for approximating posterior distributions and the Bayesian information criterion has been considered for covariate selection. In particular, the posterior distribution of the transition probabilities, resulting from the multi-state model, constitutes a very interesting tool which could be useful to help oncolog…

Statistics and ProbabilityLung NeoplasmsEpidemiologyComputer scienceMatemáticasPosterior probabilityBayesian probabilityEstadísticaBiostatisticsAccelerated failure time modelsBayesian inference01 natural sciences010104 statistics & probability03 medical and health sciencesBayes' theoremsymbols.namesake0302 clinical medicineHealth Information ManagementBayesian information criterionCarcinoma Non-Small-Cell LungStatisticsPrior probabilityHumans0101 mathematicsBiología y BiomedicinaNeoplasm StagingInformáticaBayes estimatorBayes TheoremMarkov chain Monte CarloSurvival AnalysisBayesian information criterionMarkov Chains030220 oncology & carcinogenesisMinimum informative priorsymbolsMulti-state modelsRegression AnalysisWeibull distributionMonte Carlo Method
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