>>>>> "RobG" == Robert Gentleman <[EMAIL PROTECTED]>
>>>>> on Mon, 28 Jan 2008 08:18:06 -0800 writes:
RobG> The Icens package implements a number of different estimation
paradigms.
RobG> Briefly, for interval censored data, the KM does not apply, but
RobG> Turnbull's method does. Relevant citations for Icens are in it.
RobG> For a Cox model approach, there was at one time a package, not at
CRAN,
RobG> by Commenges (and a Biometrics paper, I believe), Google suggests
that
RobG> Dr. Commenges is pretty active in this area.
Further, Marloes Maathuis is active in this field, too.
Her (CRAN) R package is 'MLEcens'
which computes the (nonparametric!) MLE for (bivariate or univariate)
interval censored data, which -- I think -- is what the
KM estimator is for the one-sided censoring.
Martin Maechler, ETH Zurich
RobG> David Winsemius wrote:
>> "gallon li" <[EMAIL PROTECTED]> wrote in
>> news:[EMAIL PROTECTED]:
>>
>>> Does anybody know if there is such a function to estimate the
>>> distribution for interval censored data?
>>>
>>> survfit doesn't work for this type of data as I tried various
>>> references.
>>
>> My reading of R-help posts by Therneau and Lumley is that interval
>> censoring is only available for parametric estimates in the survival
>> package.
>>
>> It's not KM, but perhaps this will be of interest:
>>
>> "Turnbull's Nonparametric Estimator for Interval-Censored Data"
>> Suely Ruiz Giolo
>>
>> <http://www.est.ufpr.br/rt/suely04a.pdf>
>>
>> Giolo cites KLEIN, J. P, MOESCHBERGER, M. Survival Analysis. New York:
>> Springer Verlag, 1997, for the algorithm.
>>
>> This MIT-CSAIL report says they have an available R package that handles
>> interval censoring and time-dependent covariates:
>>
>> http://dspace.mit.edu/bitstream/1721.1/33957/1/MIT-CSAIL-TR-2006-055.pdf
>>
RobG> --
RobG> Robert Gentleman, PhD
RobG> Program in Computational Biology
RobG> Division of Public Health Sciences
RobG> Fred Hutchinson Cancer Research Center
RobG> 1100 Fairview Ave. N, M2-B876
RobG> PO Box 19024
RobG> Seattle, Washington 98109-1024
RobG> 206-667-7700
RobG> [EMAIL PROTECTED]
RobG> ______________________________________________
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RobG> and provide commented, minimal, self-contained, reproducible code.
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