Great suggestion. Is there a convenient ABB routine in SAS or Stata? A bivariate version -- X complete, Y incomplete -- would also be welcome....
Sent from my iPhone. Please excuse my brevity. On Jun 6, 2011, at 4:48 PM, Juned Siddique <[email protected]> wrote: > Hi. > > I agree with Dave. An approximate Bayesian bootstrap (ABB) (Rubin 1987, page > 124; Rubin and Schenker, 1986) will work in this situation. > > -Juned Siddique > > -----Original Message----- > From: Impute -- Imputations in Data Analysis > [mailto:[email protected]] On Behalf Of David Judkins > Sent: Monday, June 06, 2011 12:22 PM > To: [email protected] > Subject: Re: Univariate imputation > > Any hotdeck procedure would also do the job. Solas can implement this. The > advantage being not having to make any parametric assumptions. > > http://www.statistical-solutions-software.com/products-page/solas-for-missin > g-data-analysis/ > > --Dave Judkins > > -----Original Message----- > From: Impute -- Imputations in Data Analysis > [mailto:[email protected]] On Behalf Of Raghunathan, > Trivellore > Sent: Monday, June 06, 2011 11:21 AM > To: [email protected] > Subject: Re: Univariate imputation > > I believe that IVEware will use the normal posterior distribution with > constant mean, variance if the variableis continuous, binomial/constant > logit model for binary, Poisson constant mean for count, multinomial for > categorical etc. It should simply use the regression model with intercept > term. You should specify the iterations to be 1. > > (Though, we have never tried for one variable data set!) > > Raghu > ________________________________________ > From: Impute -- Imputations in Data Analysis > [[email protected]] On Behalf Of Paul von Hippel > [[email protected]] > Sent: Monday, June 06, 2011 10:26 AM > To: [email protected] > Subject: Re: Univariate imputation > > To clarify: I have N cases of a single iid variable Y. n<N cases are missing > the Y value at random. There are no Xs to predict Y, and that rules out most > imputation software, including IVEware. What software is available? > > In practice imputation is useless in this situation, but it's important from > a theoretical point of view. > > Sent from my iPhone. > Please excuse my brevity. > > On Jun 6, 2011, at 4:56 AM, William Winkler <[email protected]> > wrote: > >> univariate imputation - there are additional methods besides the below >> two >> >> http://www.isr.umich.edu/src/smp/ive/ >> >> http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.3441 - >> documentation for slice software - need another url for the software >> >> >> >> >> >> From: Paul von Hippel <[email protected]> >> >> To: [email protected] >> >> Date: 06/06/2011 05:18 AM >> >> Subject: Univariate imputation >> >> Sent by: Impute -- Imputations in Data Analysis > <[email protected]> >> >> >> >> >> >> >> It is common in simulations to impute data with only one variable, but >> most imputation software assumes that there are at least two >> variables. Is software available that carries out univariate imputation?
