Different Approaches for Modeling Grouped Survival Data: A Mango Tree Study
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
18/10/2012
18/10/2012
2009
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Resumo |
Interval-censored survival data, in which the event of interest is not observed exactly but is only known to occur within some time interval, occur very frequently. In some situations, event times might be censored into different, possibly overlapping intervals of variable widths; however, in other situations, information is available for all units at the same observed visit time. In the latter cases, interval-censored data are termed grouped survival data. Here we present alternative approaches for analyzing interval-censored data. We illustrate these techniques using a survival data set involving mango tree lifetimes. This study is an example of grouped survival data. Brazilian CAPES Foundation[BEX 0298/01-8] CNPq |
Identificador |
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, v.14, n.2, p.154-169, 2009 1085-7117 http://producao.usp.br/handle/BDPI/18945 10.1198/jabes.2009.0010 |
Idioma(s) |
eng |
Publicador |
AMER STATISTICAL ASSOC & INT BIOMETRIC SOC |
Relação |
Journal of Agricultural Biological and Environmental Statistics |
Direitos |
closedAccess Copyright AMER STATISTICAL ASSOC & INT BIOMETRIC SOC |
Palavras-Chave | #Accelerated failure time #Additive hazards #Cox model #Discrete model #Imputation #Interval censoring #INTERVAL-CENSORED-DATA #PROPORTIONAL HAZARDS MODEL #MAXIMUM-LIKELIHOOD-ESTIMATION #LINEAR-REGRESSION MODEL #FAILURE TIME MODEL #MULTIPLE IMPUTATION #ALGORITHM #TESTS #Biology #Mathematical & Computational Biology #Statistics & Probability |
Tipo |
article original article publishedVersion |