![]() The central goals of the MCBS are to determine expenditures and sources of payment for all services used by Medicare beneficiaries, including co-payments, deductibles, and non-covered services to ascertain all types of health insurance coverage and relate coverage to sources of payment and to trace outcomes over time, such as changes in health status and spending down to Medicaid eligibility and the impacts of Medicare program changes on satisfaction with care and usual source of care.īeginning with data collected in the 2013 Medicare Current Beneficiary Survey (MCBS), a public use file (PUF) and accompanying documentation are available free for download under the MCBS PUF link on this page. The MCBS is designed to aid CMS in administering, monitoring, and evaluating Medicare programs, is the leading source of information on Medicare and its impact on beneficiaries, provides important information on Medicare beneficiaries that is NOT available in CMS administrative data and plays an essential role in monitoring and examining health care access, utilization, and care transition and coordination. It has been carried out continuously for more than 30 years, encompassing more than one million total interviews. You use blank lines much the same way you use indentation, to visually demarcate blocks of code that form some sort of conceptual or logical unit.The Medicare Current Beneficiary Survey (MCBS), sponsored by the Centers for Medicare & Medicaid Services Office of Enterprise Data and Analytics (OEDA) through a contract with NORC at the University of Chicago is a continuous, in-person, longitudinal survey of a representative national sample of the Medicare population. While there are no general rules-of-thumb for how to do this, try to find a consistent style - consistency is your friend when debugging! Statements that are especially long are commonly broken into multiple lines (SAS treats a line break as a space), with the continuation lines indented. Don’t bring us code that looks like this! proc means data=new var bmi run The MEANS Procedure Multiple statements per line are usually difficult to read, and are the primary reason consultants have thinning hair and poor eyesight. Typical style is to write one statement per line, as illustrated above. This means that SAS can interpret code with multiple statements per line, and also statements that are spread across multiple lines. SAS treats line breaks as spaces (in code). This configures the SAS word y as a reference to the y:/sas folder on your computer, then copies the class data from sashelp to the y:/sas folder.Īnd finally, your program may include comments, text that SAS does not try to interpret. In addition to data steps and proc steps, SAS programs commonly include global statements, which often create pointers to directories and files or otherwise configure your SAS session (e.g. a LIBNAME statement).Īn example of a global statement is libname y "y:\sas" This produces descriptive statistics for the variable bmi in the data set new.Ī step begins with the key word DATA or PROC, and ends with a run statement, or with the beginning of another step. This creates a data set, named new, by reading an existing data set named class, and creating a new variable, named bmi.Īn example of a PROC step is proc means data=new ġ9 17.8632519 2.0926193 13.4900007 21.4296601 PROC steps include statistical procedures (like PROC MEANS or PROC REG) as well as utility procedures (like PROC SORT). DATA steps are used to read in text data, produce new data values, merge data, subset data, label data, etc. The SAS interpreter collects the code you submit until one of these steps is complete, and then executes that step.ĭATA steps generally produce data sets. The main units of work in most SAS programs are the DATA step and PROC steps.
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