Common use of Linking to the Person-Level File Clause in Contracts

Linking to the Person-Level File. Merging characteristics of interest from the person-level file (e.g., MEPS 2014 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 2014 Appendix File, HC-168I, provides additional detail on how to merge MEPS data files.

Linking to the Person-Level File. Merging characteristics of interest from the a person-level file (e.g., MEPS 2014 2016 Full Year Consolidated File) expands the scope of potential estimates. For example, to estimate the total number of prescribed medicine purchases of emergency room visits for persons with specific demographic characteristics (such as e.g., age, race, sex, and education), population characteristics from a person-level file need to be merged onto the prescribed medicines emergency room visit file. This procedure is illustrated below. The MEPS 2014 2016 Appendix File, HC-168IHC-188I, provides additional detail details on how to merge MEPS data files.

Linking to the Person-Level File. Merging characteristics of interest from the person-level file (e.g., MEPS 2014 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 2014 2012 Appendix File, HC-168IHC-152I, provides additional detail on how to merge MEPS data files.

Linking to the Person-Level File. Merging characteristics of interest from the person-level file (e.g., MEPS 2014 2015 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 2014 2015 Appendix File, HC-168IHC-178I, provides additional detail on how to merge MEPS data files.

Linking to the Person-Level File. Merging characteristics of interest from the person-level file other MEPS files (e.g., MEPS 2014 Full 2016 Full-Year Consolidated FileFile or 2016 Prescribed Medicines) expands the scope of potential estimates. For example, to estimate the total number of prescribed medicine purchases of expenditures for medical equipment, visual aids, etc. for persons with specific demographic characteristics (such as age, race, and sex, and education), population characteristics from a person-level file need to be merged onto the prescribed medicines Other Medical Expenses event file. This procedure is illustrated shown below. The MEPS 2014 2016 Appendix File, HC-168IHC-188I, provides additional detail details on how to merge other MEPS data files.

Linking to the Person-Level File. Merging characteristics of interest from the person-level file other MEPS files (e.g., MEPS 2014 Full 2016 Full-Year Consolidated File) expands the scope of potential estimates. For example, to estimate the total number of prescribed medicine purchases of hospital inpatient stays for persons with specific demographic characteristics (such as as, age, race, sex, and education), population characteristics from a person-level file need to be merged onto the prescribed medicines hospital inpatient stays file. This procedure is illustrated below. The MEPS 2014 2016 Appendix File, HC-168IHC-188I, provides additional detail on how to merge MEPS data files.

Linking to the Person-Level File. Merging characteristics of interest from the person-level file (e.g., MEPS 2014 2010 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 2014 2010 Appendix File, HC-168IHC-135I, provides additional detail on how to merge MEPS data files.