Good morning all,

 

I'm working in Stata on a multiply imputed dataset, and want to try some
simulations using _adjust_. It appears that mim does not support this
command; does anyone have any further information about whether there is an
equivalent command or workaround that works with mim?  Thank you very much
for considering this issue!

 

~Kelly

 

Kelly Cleland, MPA, MPH

218 Wallace Hall

Office of Population Research

Princeton University

Princeton, NJ 08544

tel: 609.258.1395

fax: 609.258.1039

www.not-2-late.com

 

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From strom <@t> pnl.gov  Wed May 13 12:03:57 2009
From: strom <@t> pnl.gov (Strom, Daniel J)
Date: Fri May 15 11:28:31 2009
Subject: [Impute] Beginner's question
Message-ID: <[email protected]>

Hi,

Can someone direct me to a paper or internet resource that explains the basics 
of "multiple imputation" and "regression calibration" methods in epidemiology? 
I support radiation epidemiology by providing radiation doses for individuals' 
tissues and organs by year and radiation type for occupational, medical, and 
environmental exposures. The current challenge for this work is to correctly 
handle uncertainties dues to classical and Berkson errors, uncertainties dues 
to shared and unshared errors, and autocorrelations within individuals of doses 
over time. Last week at the NCI "Late Health Effects of Ionizing Radiation: 
Bridging the Divide Between Epidemiology and Radiobiology" 
(http://lombardi.georgetown.edu/events/radconf09/) those two terms were used 
here and there by various speakers. I was not sure that the speakers always 
attached the same meanings to them.  Any help is appreciated.

__________________________________________________ 
The opinions expressed above, if any, are mine alone and have not been reviewed 
or approved by Battelle, the Pacific Northwest National Laboratory, or the U.S. 
Department of Energy.

Daniel J. Strom, Ph.D., CHP 
Staff Scientist 
Energy and Environment Division 
Pacific Northwest National Laboratory 
902 Battelle Boulevard 
P.O. Box 999, MSIN K3-56
Richland, WA  99352-0999 USA 
Tel:  +1 509 375 2626
Fax: +1 509 375 2019
[email protected] 
www.pnl.gov 
Overnight: Battelle for the U.S. DOE, 790 6th St., Richland WA 99354 ATTN: Dan 
Strom K3-56
Radiological Sciences and Engineering: http://radiologicalsciences.pnl.gov/
Brief R?sum?: http://www.pnl.gov/bayesian/strom/strombio.htm
Online Publications: http://www.pnl.gov/bayesian/strom/strompub.htm
Pagemaster for  http://www.pnl.gov/bayesian   http://qecc.pnl.gov   
http://bidug.pnl.gov


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