NDLI: Different approaches for modeling grouped survival data: A mango tree study

Content Provider	Springer Nature Link
Author	Giolo, Suely Ruiz Colosimo, Enrico Antonio Demétrio, Clarice Garcia Borges
Copyright Year	2009
Abstract	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 intervalcensored data. We illustrate these techniques using a survival data set involving mango tree lifetimes. This study is an example of grouped survival data.
Starting Page	154
Ending Page	169
Page Count	16
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	14
Issue Number	2
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Accelerated failure time Additive hazards Cox model Discrete model Imputation Interval censoring Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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