Statistical methods for administrative health care data

Presented by  Dr. Hong Su An and Dr. Sabrina Ford, Institute for Health Policy, MSU

For the evaluation, research, and monitoring in healthcare research, various statistical methods have been applied using publicly available data. 

Two  case studies will be presented:

For each study, presenter will briefly introduce for the data used for studies.

1. Difference in cervical cancer screening and follow-up for black and white women in the United States. 
   • In this study, descriptive statistics and difference-in-difference analysis applied to examine the cervical cancer screening 
2. Prediction of functional decline using Health and Retirement study (HRS) data using machine learning. 
   • In this study, seven different machine learning algorithms are applied to predict functional decline in 2 years and 4 years. 
   • Short introduction of machine learning and application to actual study

Registration is free.