Statalist The Stata Listserver


[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

Re: st: Trying to do some multiple imputation


From   Nicola Orsini <[email protected]>
To   [email protected]
Subject   Re: st: Trying to do some multiple imputation
Date   Tue, 24 Jan 2006 21:25:12 +0100

Mosi,

if you want to have just one imputed variable in the original dataset it's even easier than what I suggested earlier.

Just type one line

uvis regress income black male age2 educate, gen(imp_income)

Nicola

Mosi A. Ifatunji wrote:

Nicola,

Okay, so the syntax seems to have worked with the new commands. That is,
after running the syntax I find myself working with a dataset that is
representative of multiple datasets and if I run -tab income- I get a
crosstab with imputed values.

Ultimately, I would like to have a dataset ('das1995r') that has one
observation per variable per person in the dataset. I would like to have a
variable in such a dataset with a variable named, say 'imp_income' (for
imputed income). How do I get from where I am now to where I want to end up?

M.


On 1/24/06 11:29 AM, "Nicola Orsini" <[email protected]> wrote:


Mose,

1) define a working directory -help cd-

clear
cd "mypath"

2) use the command -use- instead of -sysuse- to open your dataset (help
sysuse)

use das1995r

The rest of the lines should be fine. I hope you are using a do-file to
run the analysis.

Best,
Nicola

Mosi A. Ifatunji wrote:

Thanks Nicola,

I have been trying the code that you sent and I am having some trouble with
it. Admittedly, I am not familiar with some of the commands that you're
using and the -help- command doesn't really provide for much more clarity.
So, let me tell you what I am doing (verbatim) and you can tell me if there
is an error in my use of the syntax you have so generously provided.

First, the dataset I am using is called das1995r and it is located in the
main Stata folder. The variable I would like to generate values for is
'income.' the variables I would like to generate 'income' from are: 'black',
'male', 'age2' and 'educate.'

The commands that I am not familiar with have an * after them. I did not
actually put the * in my syntax, but I thought it might help for you to know
my level of novice :-). After looking at your sample, I tried the following:

clear

sysuse* das1995r

forv* i = 1(1)5 {
preserve*
uvis* regress income black male age2 educate, gen(income`i') seed(123695`i')
replace income = income`i'
save das`i', replace
restore*
}

[[Here I am told: "already preserved r(621);"]]

forv* i = 1(1)5 {
use das`i', clear
tab income, miss
}

[[Here is where I get the error message that stops the progress. I get a
message that says: "file das1.dta not found." I proceed nonetheless.]]

miset* using das

[[Here is where I figure out that I can go no further for real. I get the
error message: "file das1.dta not found."]]

I am assuming that I am making an error somewhere, but I just don't know
where. As you can see, I skipped the part where you created missing values,
because my values are already missing in the 'income' variable. Other then
that the syntax is the same as you provided it, I think.

Thank you for your time and energy,

M.

=====

Hi Rose,

this is an example of multiple imputation.

clear

* findfile cancer.dta

sysuse cancer

set seed 1234

* create some missing at random for the outcome variable died (0/1)

gen u = uniform()
replace died = . if u > 0.6
codebook died

* impute 5 times the outcome variable died using uvis
* every time generating a new variable (died1, died2, ..., died5)

forv i = 1(1)5 {
preserve

* specify a model to predict missing values
uvis logistic died drug age, gen(died`i')  seed(123695`i')
replace died = died`i'

* save a new dataset with the imputed dataset (canc1, canc2, ..., canc5)
save canc`i', replace
restore
}

* have a look at the imputed variables saved in the new datasets

forv i = 1(1)5 {
use canc`i', clear
tab died , miss
}

* set the imputed dataset before combine results
miset using canc

* specify the estimation command to be executed on each imputed dataset
* and get the overall estimates
mifit, indiv: logistic died drug age

Best,
Nicola





*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/
*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index