Hi Emina,

 

I don’t know the answer to your question for cem, but are you wanting to do caliper matching?

 

The code below selects 3 matches  with caliper matching on age (matched within 15 years) and exact matching on stage.

 

calipmatch, generate(calmatch) casevar(group) maxmatches(3) calipermatch(agei) caliperwidth(15) exactmatch (stage)

 

Maybe the two methods can be combined?

 

Carla

 

From: cem-bounces@lists.gking.harvard.edu [mailto:cem-bounces@lists.gking.harvard.edu] On Behalf Of Emina Omerovic
Sent: Tuesday, October 09, 2018 5:30 PM
To: stefano iacus <stefano.iacus@unimi.it>
Cc: king-assist@iq.harvard.edu; cem@lists.gking.harvard.edu
Subject: Re: [cem] Matching for a continuous variable

 

Hi Stefano,

 

So if I have a variable of continuous scores and want to match the sample based on scores within 1 sd (e.g. 15) rather than applying the cutpoints which creates categories of scores such that

 

cem gender kbitssw5 (70 85 100 115 130), treatment (group)

 

becomes the equivalent of

 

recode kbitssw5 (0/70 = 1 "Well below average") (70/85 = 2 "Below average") (85/115 = 2 "Average") (115/130 = 3 "Above average") (130/200 = 3 "Well above average"), gen(kbittssw5_5cat)

 

cem gender kbittssw5_5cat, treatment(group)

 

 

Can I match based on freely changing cutpoints to maintain that 1 sd ? Eg. A participant with a score of 80 could be matched to someone with a score anywhere between 65 and 95, and not just between 70 and 85

 

 

Kind regards

Emina

 

From: stefano iacus [mailto:stefano.iacus@unimi.it]
Sent: Tuesday, 2 October 2018 1:55 PM
To: Emina Omerovic <emina.omerovic@mcri.edu.au>
Cc: cem@lists.gking.harvard.edu; king-assist@iq.harvard.edu
Subject: Re: [cem] Matching for a continuous variable

 

Hi,

if I understand correctly, you just need to specify the cutpoints argument in the cem() function like on page 10 (bottom) of the pdf document you mention.

Usually the best thing to do is to write a simple reproducible example (R code + sample of data) so that we can help you to solve your problem.

 

Best regards

Stefano

 

On 26 Sep 2018, at 04:11, Emina Omerovic <emina.omerovic@mcri.edu.au> wrote:

 

 

 

From: cem-bounces@lists.gking.harvard.edu [mailto:cem-bounces@lists.gking.harvard.edu] On Behalf Of Emina Omerovic
Sent: Wednesday, 26 September 2018 11:38 AM
To: cem@lists.gking.harvard.edu
Subject: [cem] Matching for a continuous variable

 

Hello,

 

Using the example provided http://scholar.harvard.edu/files/gking/files/cem.pdf  I am not sure how to approach matching for continuous scores eg. An IQ score. Using my data sample and the automated method, it appears all matches are within about 8 score points. If we wanted to define the coarsening to about within 15 points (eg within 1 SD) how could I do this?

Thank you

 

Looking forward to the reply

 

Emina Omerovic BSc, MClAud
Research Assistant
Intergenerational Health
 
Murdoch Children's Research Institute
The Royal Children's Hospital, 50 Flemington Road
Parkville, Victoria 3052 Australia

E   emina.omerovic@mcri.edu.au
W  mcri.edu.au

 

 

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