Questions in topic: "propensity_score"
https://developer.ibm.com/answers/questions/topics/single/367595.html
The latest questions for the topic "propensity_score"Propensity Score Matching windows 10
https://developer.ibm.com/answers/questions/526093/propensity-score-matching-windows-10.html
I would like to know how to install the "Propensity Score Matching" function in SPSS v26
for Windows 10propensity_scoreWed, 08 Jan 2020 22:27:59 GMTalebrigante672@gmail.compropensity score matching spss 24
https://developer.ibm.com/answers/questions/524165/propensity-score-matching-spss-24.html
I am having trouble running the propensity score matching on SPSS24
Although Fuzzy is installed, it seems not to work. A propensity score is being calculated, but there are no matches.
this is the Syntax I used:
* Propensity Score Matching.
begin program.
import spss, random, spssaux, codecs
try:
import FUZZY
except:
print "This procedure requires the FUZZY extension command which is not installed."
parts = [int(i) for i in FUZZY.__version__.split(".")]
if parts < [1,3,0]:
raise EnvironmentError("This procedure requires version 1.3.0 or later of FUZZY")
ds = spss.ActiveDataset()
if ds =="*":
ds = "D" + str(random.random())
spss.Submit("DATASET NAME " + ds)
ds = codecs.encode(ds) # must use code page rep here
matchgroup = "M" + str(random.random()) #temporary variable
tempdsname = "D" + str(random.random())
factors = "xx".split()
if len(factors) > 0:
catsub = "/CATEGORICAL " + " ".join(factors)
else:
catsub = ""
lrcmd = spssaux.u(r"""LOGISTIC REGRESSION VARIABLES xxx
/METHOD=ENTER xxx
%s /SAVE=PRED(ps_versuch_10).""" % catsub)
try:
spss.Submit(lrcmd)
except:
raise ValueError("Logistic Regression step failed")
fuzzycmd = spssaux.u(r"""FUZZY BY=ps_versuch_10 SUPPLIERID=subject NEWDEMANDERIDVARS=ID_ps_versuch_10
GROUP=xxx EXACTPRIORITY=FALSE
MATCHGROUPVAR=%(matchgroup)s FUZZ=0.5 DS3=%(tempdsname)s
/OPTIONS SAMPLEWITHREPLACEMENT=FALSE MINIMIZEMEMORY=TRUE SHUFFLE=FALSE .
DELETE VARIABLES %(matchgroup)s.
DATASET ACTIVATE %(ds)s.
DELETE VARIABLES %(matchgroup)s.
DATASET COPY output_ps_versuch_10.
DATASET ACTIVATE output_ps_versuch_10.
SELECT IFxxx EQ 1.
DATASET ACTIVATE %(tempdsname)s.
DATASET ACTIVATE output_ps_versuch_10.
ADD FILES /FILE=* /FILE=%(tempdsname)s.
EXECUTE.
DATASET CLOSE %(tempdsname)s.""" % locals())
spss.Submit(fuzzycmd)
end program.
when I try to look for where fuzzy is saved, this occures:
DATASET ACTIVATE DataSet1.
begin program.
import FUZZY
end program.
File "", line 2
import FUZZY
^
IndentationError: unexpected indent
begin program.
import sys
print sys.path
end program.
File "", line 2
import sys
^
IndentationError: unexpected indent
SHOW EXT.
Can anyone help me?spssstatisticsextensibilitypythonfuzzypropensity_scoreThu, 05 Dec 2019 09:40:41 GMTJuliastPSM plug-in for SPSS 23
https://developer.ibm.com/answers/questions/522241/psm-plug-in-for-spss-23.html
I am trying to install the R extension to run propensity score matching with SPSS. I have SPSS version 23 64-bit edition. I installed R 3.1 and IBM SPSS Statistics - Essentials for R version 23 64-bit and still don't get the option on the Analyze tab. I only get the PSM option on the Data tab, but when I click on it the message reports that the integration plug-in for Python is not installed (but I read it should be installed by default for IBM SPSS Statistics version 23).
Also, when I run the command
BEGIN PROGRAM R
x <- "R plugin is working properly"
x
END PROGRAM
I get a message error "Error #6887. The spss package could not be loaded. Please make sure that Essentials for R has been successfully installed."
I have tried to disinstall both R and the Essentials for R, but it's still not working. Any help?spsserrorspropensity_scoreSun, 10 Nov 2019 22:09:16 GMTgiuly_gtSPSS 26 while using R 3.5 extension for propensity matching goes into memory error even though system is barely using 10% of 24 gb memory?
https://developer.ibm.com/answers/questions/520112/spss-26-while-using-r-35-extension-for-propensity.html
all the apps are in 64 bit and R base memory limit is set to 24gbstatisticsrctablespropensity_scoreMon, 14 Oct 2019 20:53:21 GMTmuhammad zia khanPSM Ratio issues
https://developer.ibm.com/answers/questions/515532/psm-ratio-issues.html
Hello, everybody
I have some issues with the PSM add on for Statistics 25.0
1. Is there any tutorial on how to use the propensity score matching in the SPSS? I am interested how to define the matching ratio between the exposure cases and the controls (e.g. from a cohort of 100000 with 1000 exposed cases, I would like to do the propensity score matching for the 1000 exposed cases and for 4000 unexposed out of the entire unexposed group. (ratio of 1:4).
2. Is there any tutorial on how to do a "sub-cohort" by matching for given covariables. Following the above-mentioned example, this time I would like to do a matching (without using propensity score) based on several covariables including my 1000 exposed cases and specific 5000 unexposed controls (ratio of 1:5), i.e creating a different cohort of total 6000 participants.
What value supposes to be inserted in the "options" in the "variable for a number of eligible cases" foe the PSM and the case-control matching add-ons in the SPSS?spssstatisticspropensity_scorepsmThu, 22 Aug 2019 09:44:29 GMTMachineGunManIs it possible to perform propensity score matching with spss 25 for mac
https://developer.ibm.com/answers/questions/503551/is-it-possible-to-perform-propensity-score-matchin.html
In tools for spss products I can't find essential for R for spss 25 mac.
Somebody can help? Thanks!spss25rpropensity_scoreessentialsSun, 05 May 2019 08:52:10 GMTFFabrizioWhat does match tolerance in Propensity Score Matching mean? (SPSS v24)
https://developer.ibm.com/answers/questions/487336/what-does-match-tolerance-in-propensity-score-matc.html
I am using the PSM function and it is working well. However, i'm unsure what happens when i enter a different number into the Match Tolerance box in the wizard. What does this mean? Many thanks.spssstatisticspythonpropensity_scoreprogrammabilityTue, 08 Jan 2019 08:40:04 GMTAnna AHow to get balance statistics for propensity score matching in SPSS 25
https://developer.ibm.com/answers/questions/448221/how-to-get-balance-statistics-for-propensity-score.html
Hi everybody,
I need to get balance statistics (e.g. mean standirdized differences) and plots to test the quality of the matching after propensity score matching. I am using SPSS 25. I saw there was an option in previous versions but cannot find a way in SPSS 25. Can anybody help me? Thanks a lot!matchingpropensity_scorebalancingWed, 16 May 2018 21:34:07 GMTLauraMagHow to interpret the output file of Propensity Score Matching in v25?
https://developer.ibm.com/answers/questions/444805/how-to-interpret-the-output-file-of-propensity-sco.html
Hello,
I have run the PSM in SPSS version 25 and have used "0.01" as the match tolerance. Can you provide some directions as to how to interpret the output file and also how to judge whether the match is good or not?
Here are my specific questions...thank you so much for your help!
Q1 The output file with new variable for the propensity score - its has the label "predicted probability". It ranges from 0 to 0.08 which is very low - I am assuming the lower the better as I have set the tolerance to 0.01? Does it mean the closer to 0, the better the match?
Q2 How do I judge how good is the match?
Q3 When I try to run it a second time using other predictors, I get this error - what does it mean?
![alt text][1]
Thanks!
[1]: /answers/storage/temp/21903-spss-error-pic.pngpropensity_scoreFri, 27 Apr 2018 00:25:08 GMTJus_cPSM Matching
https://developer.ibm.com/answers/questions/440038/psm-matching.html
Hello,
I am using SPSS V 25 and I installed PSMatching and Fuzzy. The application is running fine but I dont have an option to Match groups. I saw in demonstrations for older versions, there was an option to choose 1:1 or 1:Many? is there an alternative way to do so? every time I run the analysis I am getting Many:1 and I really like to do a 1:1 Matching.
Any advice?propensity_scoreFri, 30 Mar 2018 15:35:54 GMTWiss123PSM: (...): package or namespace load failed for 'optmatch'
https://developer.ibm.com/answers/questions/400174/psm-package-or-namespace-load-failed-for-optmatch.html
Dear all,
I am a SPSS user and I use PSM in my work a lot.
my license for SPSS 23 expired and my company bought a license for 24.
I installed R 3.2.0 and SPSS Statistics R Essentials 24 and PSMatching 3.04 as administrator user in SPSS.
I tried to run a PSM but the following error is popping up: (...): package or namespace load failed for 'optmatch'.
Could you help me, please?
Thank you very much.propensity_scoreTue, 12 Sep 2017 08:28:36 GMTAlbeBenWhat is the "Factors" field in the Propensity Score Matching in SPSS (ver. 24)?
https://developer.ibm.com/answers/questions/397164/what-is-the-factors-field-in-the-propensity-score.html
What is the "Factors" filed in the Propensity Score Matching (Data/Propensity Score Matching...)? It seems it only accepts string values.
I couldn't find explanations in the Help document or elsewhere. Thanks!spssstatisticspythonpropensity_scoreprogrammabilityTue, 29 Aug 2017 17:34:47 GMTFred F.First line not recognized as SPSS command Error message with R when trying to use PS matching in SPSS 24
https://developer.ibm.com/answers/questions/388770/first-line-not-recognized-as-spss-command-error-me.html
Hello,
I have not been able to get PS matching to function with SPSS 24. I have followed the instructions in the arxiv document- installing R 3.2.2 as administrator, then installing the correct version of Essentials for R as administrator - both in the SPSS 24 file. However, when I then run the syntax suggested to test R, I get an error as follows:
x <- "R plug-in is working properly"
>Error # 1. Command name: x
>The first word in the line is not recognized as an SPSS Statistics command.
>Execution of this command stops.
x
END PROGRAM.
I have also tried installing the PS matching extension and then run an analysis, but I get the same error.
Thanks in advance for any assistance.statisticsspss24rcommand linepropensity_scorepsmMon, 24 Jul 2017 16:18:20 GMTKimAAPropensity score matching in SPSS 22
https://developer.ibm.com/answers/questions/367508/propensity-score-matching-in-spss-22-1.html
I am trying to use propensity score matching in SPSS. When I include one particular variable in the logistic regression, it causes the errors I've listed below. When I remove it from the equation, the procedure works fine. I'd really like the variable to be in there. As far as I can tell it is formatted correctly and there is not an obvious mathematical reason (e.g., high correlation with another control variable) that would screw up the calculations.
Warnings
Only string variables are allowed.
Warnings
Text: M0.497048312492 Command: DELETE VARIABLES
An undefined variable name, or a scratch or system variable was specified in a variable list which accepts only standard variables. Check spelling and verify the existence of this variable.
Execution of this command stops.
Warnings
Unknown dataset D0.115612439575.
Execution of this command stops.
I use the standard code provided in the SPSS propensity score matching bundle:
* Propensity Score Matching.
begin program.
import spss, random, spssaux, codecs
try:
import FUZZY
except:
print "This procedure requires the FUZZY extension command which is not installed."
parts = [int(i) for i in FUZZY.__version__.split(".")]
if parts < [1,3,0]:
raise EnvironmentError("This procedure requires version 1.3.0 or later of FUZZY")
ds = spss.ActiveDataset()
if ds =="*":
ds = "D" + str(random.random())
spss.Submit("DATASET NAME " + ds)
ds = codecs.encode(ds) # must use code page rep here
matchgroup = "M" + str(random.random()) #temporary variable
tempdsname = "D" + str(random.random())
lrcmd = spssaux.u(r"""LOGISTIC REGRESSION VARIABLES QSRCLIENT
/METHOD=ENTER RAFSEVF1 AGER2 ETHNR2 RCRIM2 ROPEN RWARR
/CATEGORICAL=RAFSEVF1 AGER2 ETHNR2 RCRIM2 ROPEN RWARR
/SAVE=PRED(PROP).""")
try:
spss.Submit(lrcmd)
except:
raise ValueError("Logistic Regression step failed")
fuzzycmd = spssaux.u(r"""FUZZY BY=PROP SUPPLIERID=CASE NEWDEMANDERIDVARS=MATCH
GROUP=QSRCLIENT EXACTPRIORITY=FALSE
MATCHGROUPVAR=%(matchgroup)s FUZZ=.05 DS3=%(tempdsname)s
/OPTIONS SAMPLEWITHREPLACEMENT=FALSE MINIMIZEMEMORY=TRUE SHUFFLE=FALSE .
DELETE VARIABLES %(matchgroup)s.
DATASET ACTIVATE %(ds)s.
DELETE VARIABLES %(matchgroup)s.
DATASET COPY QSR2.
DATASET ACTIVATE QSR2.
SELECT IF QSRCLIENT EQ 1.
DATASET ACTIVATE %(tempdsname)s.
DATASET ACTIVATE QSR2.
ADD FILES /FILE=* /FILE=%(tempdsname)s.
EXECUTE.
DATASET CLOSE %(tempdsname)s.""" % locals())
spss.Submit(fuzzycmd)
end program.spsspropensity_scoreFri, 07 Apr 2017 16:06:00 GMTrussell13