Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learnin
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates
Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be
Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to rec
This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on c