Linking to the Person-Level File Sample Clauses

The "Linking to the Person-Level File" clause establishes the procedures and permissions for connecting data records to individual-level datasets. In practice, this clause outlines how identifiers or keys are used to match records from different sources to specific individuals, often for research or administrative purposes. By specifying the conditions and safeguards for such linkages, the clause ensures that data integration is conducted securely and in compliance with privacy requirements, thereby facilitating accurate analysis while protecting personal information.
Linking to the Person-Level File. Merging characteristics of interest from the person-level file (e.g., MEPS 2012 Full Year Consolidated File) expands the scope of potential estimates. For example, to estimate the total number of prescribed medicine purchases of persons with specific demographic characteristics (such as age, race, sex, and education), population characteristics from a person-level file need to be merged onto the prescribed medicines file. This procedure is illustrated below. The MEPS 2012 Appendix File, HC-152I, provides additional detail on how to merge MEPS data files. 1. Create data set PERSX by sorting the 2012 Full Year Consolidated File by the person identifier, DUPERSID. Keep only variables to be merged onto the prescribed medicines file and DUPERSID. 2. Create data set PMEDS by sorting the 2012 Prescribed Medicines File by person identifier, DUPERSID. 3. Create final data set NEWPMEDS by merging these two files by DUPERSID, keeping only records on the prescribed medicines file. The following is an example of SAS code, which completes these steps: PROC SORT DATA=IN.HCXXX (KEEP=DUPERSID AGE31X AGE42X AGE53X SEX RACEV1X EDUCYR EDUYRDEG EDRECODE) OUT=PERSX; BY DUPERSID; RUN; PROC SORT DATA=IN.HCXXXA OUT=PMEDS; BY DUPERSID; RUN; DATA NEWPMEDS; MERGE PMEDS (IN=A) PERSX (IN=B); BY DUPERSID; IF A; RUN;
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Linking to the Person-Level File. Merging characteristics of interest from other MEPS files (e.g., 2016 Full-Year Consolidated File or 2016 Prescribed Medicines) expands the scope of potential estimates. For example, to estimate the expenditures for medical equipment, visual aids, etc. for persons with specific demographic characteristics (such as age, race, and sex), population characteristics from a person-level file need to be merged onto the Other Medical Expenses event file. This procedure is shown below. The MEPS 2016 Appendix File, HC-188I, provides additional details on how to merge other MEPS data files. 1. Create data set PERSX by sorting the 2016 Full-Year Consolidated File, by the person identifier, DUPERSID. Keep only variables to be merged onto the other medical events file and DUPERSID. 2. Create data set OMEXP by sorting the other medical event file by person identifier, DUPERSID. 3. Create final data set NEWOME by merging these two files by DUPERSID, keeping only records on the other medical event file. The following is an example of SAS code which completes these steps: PROC SORT DATA=HCXXX (KEEP=DUPERSID AGE31X AGE42X AGE53X SEX RACEV1X EDUCYR HIDEG) OUT=PERSX; BY DUPERSID; RUN; PROC SORT DATA=OMEXP; BY DUPERSID; RUN; DATA NEWOME; MERGE OMEXP (IN=A) PERSX (IN=B); BY DUPERSID; IF A; RUN;
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Related to Linking to the Person-Level File

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