Censoring Data
Mostrando 1-12 de 13 artigos, teses e dissertações.
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1. INFERENCE OF THE MARKET VALUE OF URBAN LOTS FROM THE PERSPECTIVE OF SURVIVAL ANALYSIS. CASE STUDY: CITY OF SÃO CARLOS, SÃO PAULO, BRAZIL
ABSTRACT The survival analysis was originally proposed for data analysis related to time before the occurrence of a specific event of interest and has been widely used in studies of biomedical data (survival analysis), industrial research (reliability analysis) and financial data (credit scoring). In this study, we presented a new approach to modeling the ma
Pesqui. Oper.. Publicado em: 2016-08
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2. Dados de sobrevivência multivariados na presença de covariáveis e observações censuradas: uma abordagem bayesiana
In this work, we introduce a Bayesian Analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different frailtiesor latent variables are considered to capture the correlation among the survival times for the same individual. We also introduce a Bayesian analysis for some of the most popular bivariate exponenti
Publicado em: 2010
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3. ENVIRONMENTAL PLANNING OF CITY OF BARRA BONITA, SC, IN THE PERSPECTIVE OF GEOGRAPHIC INFORMATION TECHNOLOGIES / PLANEJAMENTO AMBIENTAL DO MUNICÍPIO DE BARRA BONITA, SC, NA PERSPECTIVA DAS TECNOLOGIAS DE INFORMAÇÃO GEOGRÁFICA
Human actions, in their diversity, deeply affect the environment, making changes which can reflect a state of environmental degradation. With the purpose to contribute with analysis about local spaces, environmental planning in urban and rural areas becomes an important tool, allowing to get a better knowledge about physical spaces and applied human actions.
Publicado em: 2009
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4. Modelo de confiabilidade associando dados de garantia e pós-garantia a três comportamentos de falhas / Reliability model for warranty and post-warranty data presenting three failure behaviours
Nesta tese, apresenta-se um modelo de confiabilidade estatística para aplicação em dados de vida de um produto, buscando classificar três modos de falhas distintos associados à ocorrência de falhas prematuras, aleatórias e por desgaste. A ocorrência dos três modos de falhas segue os princípios de aplicação dos modelos teóricos por riscos concorr
Publicado em: 2009
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5. Regressão linear com medidas censuradas / Linear regression with censored data
We consider a simple linear regression model in which both variables are interval censored. To motivate the problem we use data from an audiometric study designed to evaluate the possibility of prediction of behavioral thresholds from physiological thresholds. We develop prediction intervals for the response variable, obtain the maximum likelihood estimators
Publicado em: 2008
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6. The impact of the loss to follow-up when using the Kaplan Meier estimator and the Cox proportional hazard model / Avaliação do efeito das perdas de seguimento nas análises feitas pelo estimador produto - limite de Kaplan - Meier e pelo modelo de riscos proporcionais de Cox
Introduction: The Kaplan Meier product limit estimator (KM) and the Cox proportional hazard (HR) model are the most used tools in survival analysis. These two methods have the key assumption that censoring must be independent from the survival time. Objective: To analyze the consequences of loss to follow up in these two methods. Methods: The study has utili
Publicado em: 2006
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7. Risk-efficient estimation of the mean exponential survival time under random censoring.
The paper proposes a sequential estimator theta of the parameter theta of an exponential distribution when the data are censored. It is shown that theta is asymptotically risk efficient when the loss is measured by the squared error of estimation of theta plus a linear function of the number of observations and that theta is asymptotically normal as the cost
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8. Problems in dealing with missing data and informative censoring in clinical trials
A common problem in clinical trials is the missing data that occurs when patients do not complete the study and drop out without further measurements. Missing data cause the usual statistical analysis of complete or all available data to be subject to bias. There are no universally applicable methods for handling missing data. We recommend the following: (1)
BioMed Central.
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9. Conditional GEE for recurrent event gap times
This paper deals with the analysis of recurrent event data subject to censored observation. Using a suitable adaptation of generalized estimating equations for longitudinal data, we propose a straightforward methodology for estimating the parameters indexing the conditional means and variances of the process interevent (i.e. gap) times. The proposed methodol
Oxford University Press.
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10. Birth outcomes and the effectiveness of prenatal care.
OBJECTIVE: To investigate pregnant women's self-selection effects on the estimation of birthweight production function. A particular emphasis is placed on assessing the effectiveness of prenatal care as a major medical input in the birthweight production function. DATA SOURCES: Primary data compiled from birth and abortion certificates for the Commonwealth o
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11. Financial and organizational determinants of hospital diversification into subacute care.
OBJECTIVE: To examine the financial, market, and organizational determinants of hospital diversification into subacute inpatient care by acute care hospitals in order to guide hospital managers in undertaking such diversification efforts. STUDY SETTING: All nongovernment, general, acute care, community hospitals that were operating during the years 1985 thro
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12. The long-term effects of Medicaid managed care on obstetrics care in three California counties.
OBJECTIVE: To evaluate the long-term effects of Medicaid managed care (MMC) on obstetric service use and program costs in California. DATA SOURCES/STUDY SETTING: Longitudinal administrative data on Medi-Cal enrollment and claims and encounters related to pregnancy and delivery services were gathered from three counties--two long-standing MMC counties and one