Can drinking coffee help people live longer? What makes a stock's price go up? Why did you get the flu? You contend with questions like these on a regular basis, but it's unlikely you ever took a course on how to find causes or examined the process you use to make these judgments.
This book helps you think about causality in a structured way: What is a cause? What are causes good for? What is compelling evidence of causality? After reading this book, at a minimum, you'll be able to think more critically about causal claims, such as newspaper headlines claiming a particular food leads to death or cancer.
Whether you want to use your running logs to figure out why you get injured, or be able to evaluate scientific claims more critically,Why will help you sharpen your existing causal inference skills and develop new ones.
Samantha Kleinberg is an Assistant Professor of Computer Science at Stevens Institute of Technology, where she works on developing methods for understanding how systems work when they can only be observed – and not experimented on. Currently, these methods are being used to understand causes of secondary complications in stroke patients (funded by an NIH/NLM R01 grant) and to predict changes in glucose in people with diabetes. She introduced courses on causal inference and health informatics at Stevens, and enjoys helping students cope with the challenges of real-world data. She received her PhD in computer science and B.A. in computer science and physics all from New York University, and previously held an NSF/CRA Computing Innovation Fellowship at Columbia University.
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。
