This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to prese…
This book originated from a series of discussions among the editors when we were all at the University of Rochester, NY, before 2015. At that time, we had a research discussion group under the leadership of Professor Xin M. Tu that met biweekly to discuss the methodological development on statistical causal inferences and their applications to public health data. In this group, we got a clo…