2003
DOI: 10.1016/s0197-2456(03)00072-2
|View full text |Cite
|
Sign up to set email alerts
|

On the use and utility of the Weibull model in the analysis of survival data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
158
0
7

Year Published

2010
2010
2023
2023

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 210 publications
(169 citation statements)
references
References 16 publications
2
158
0
7
Order By: Relevance
“…Additionally, the determination of age of breast development used a somewhat novel application of a well-established approach, an accelerated failure time model (specifically the Weibull model), which both allows determination of event rates as well as extension in survival time. 8 The direct comparison of our participants, from a longitudinal study, with participants from 2 cross-sectional studies that used different BMI standards from this study, might appear to be of limited relevance; when we excluded our participants with elevated BMI, the BMI distribution is similar to the results reported by Kaplowitz et al 3 and by Rosenfield et al, 4 and the remaining participants had similar age of breast maturation. Unlike the NHANES III and most (61%) of PROS participants, we used breast palpation for all of our participants, but this should have increased the age of breast development, rather than decreased it.…”
Section: Figuresupporting
confidence: 65%
“…Additionally, the determination of age of breast development used a somewhat novel application of a well-established approach, an accelerated failure time model (specifically the Weibull model), which both allows determination of event rates as well as extension in survival time. 8 The direct comparison of our participants, from a longitudinal study, with participants from 2 cross-sectional studies that used different BMI standards from this study, might appear to be of limited relevance; when we excluded our participants with elevated BMI, the BMI distribution is similar to the results reported by Kaplowitz et al 3 and by Rosenfield et al, 4 and the remaining participants had similar age of breast maturation. Unlike the NHANES III and most (61%) of PROS participants, we used breast palpation for all of our participants, but this should have increased the age of breast development, rather than decreased it.…”
Section: Figuresupporting
confidence: 65%
“…This method is the most popular method for measuring statistical events involving data with timeframes [17]. Alpha is an interpretation of probability of 63.2% that the event will occur.…”
Section: Methodsmentioning
confidence: 99%
“…The estimated date of thelarche was calculated as the date associated with the median probability over the breast development interval. These probabilities were calculated for each girl by using an SAS macro developed by us, which incorporated s (s, the scale parameter of the Weibull distribution from LIFEREG) 8 and the x ' B matrix for the girl, and the dates at the beginning and end of her thelarche interval.…”
Section: Methodsmentioning
confidence: 99%