Hi Damir-

Try Link Plus, which is free from the CDC. It's easy to learn and does a fairly good job of identifying potential matches.

http://www.cdc.gov/cancer/npcr/tools/registryplus/lp.htm

Anton

On Fri, 16 Oct 2009 08:44:58 -0400, Damir <dkukec@PBCGOV.ORG> wrote:

>I was wondering if someone could recommend a resource for trying to >develop a matching syntax that examines the likelihood that a match >exists between individual records in two different tables. For >example, it would be a one-to-many match against offenders by last >name, middle name, last name, sex, date of birth, race, and if I am >luck social security number. Ideally, I would like to have a score >associated with each unique record that indicates the likelihood a >match is 100% or 75% or something like that. > >I have reviewed and even tried to use FEBRL; however, I have had no >luck getting it working - as I am not a computer programmer. I am >also not having any luck with CASECTRL.py from the developer center. >Any suggestions would be greatly appreciated. > > >Cheers, >Damir > >===================== >To manage your subscription to SPSSX-L, send a message to >LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the >command. To leave the list, send the command >SIGNOFF SPSSX-L >For a list of commands to manage subscriptions, send the command >INFO REFCARD

===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD