Different Approaches for Modeling Grouped Survival Data: A Mango Tree Study


Autoria(s): GIOLO, Suely Ruiz; COLOSIMO, Enrico Antonio; DEMETRIO, Clarice Garcia Borges
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2009

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

http://dx.doi.org/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