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3223
2005 Sep 08
5
data manipulation
Dear All,
I would be grateful if you can help me. My problem is the following:
I have a data set like:
ID time X1 X2
1 1 x111 x211
1 2 x112 x212
2 1 x121 x221
2 2 x122 x222
2 3 x123 x223
where X1 and X2 are 2 covariates and "time" is the time of observation and ID indicates the cluster.
I want to merge the above data by creating a new variable "X" and "type" as follows:
ID time X type
1 1 x111 X1
1 2 x11...
2008 Aug 11
0
Good news for CPanel users
In response to a feature request for cpanel to have native support for
dovecot:
Rudimentary support was added in 11.23. Full support for Dovecot will be
available in 11.24.
--
Marshal Newrock
517-679-0699 x223
FreedomBI, LLC - http://www.freedombi.com
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2008 Jun 17
0
Fitting Multiple Univariate Distributions to Data
...r ways were are able to characterized background and compare them all. This is for the evaluation of chemicals in the environment.
Michael J. Bock, PhD | Manager
ENVIRON | www.environcorp.com <http://www.environcorp.com/>
136 Commercial Street, Suite 402
Portland, ME 04101
V: 207.347.4413 x223| F: 207.347.4384 |mbock@environcorp.com
This message contains information that may be confidenti...{{dropped:11}}
2011 May 01
1
Longitudinal data with non-randomized subjects
...tient with id == 2 for the following data)
Data format is like the stanford heart transplant data (Therneau et al 2000, p69), but the patients were not randomized in selection and the covariate balance is not achieved:
id time censor tx x1 x21 (0,10] 1 0 x11 x122 (0,8 ] 0 0 x21 x222 (9,19] 1 1 x21 x223 (0,13] 0 1 x31 x32
Is counting process form of a Cox model (coxph with start, stop, censoring status ~ tx + x1 + x2 covariates) sufficient?
Is it possible to implement the propensity score methodology (Rosenbaum et al, 1983) in such situations?
Any ideas/suggestions would be higly appreciated.
Than...