Online Program

Transitioning to R with Health Policy Data
*Anthony Damico, Kaiser Family Foundation 


Despite powerful statistical analysis, data manipulation, and presentation capabilities, R has not become widely adopted as a statistical package in the fields of health policy or healthcare management & evaluation. User guidelines and other technical documents for government-funded and publicly-available data sets rarely provide appropriate syntax examples to R users. The objective of my presentation will be to describe the steps required to import health policy data into R, to prepare that data for analysis using the two most common complex survey variance calculation techniques, and to produce the principal set of statistical estimates sought by health policy researchers. This talk will compare means and standard errors produced by technical documentation-recommended syntax examples for selected proprietary statistical packages with those of the survey package available in R, using data from the Medical Expenditure Panel Survey – Household Component (MEPS-HC).