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If you have ever used logistic regression, you can probably credit Cox. He popularized the model during a time when Probit regression was more popular. For the
by clircle 5y ago
If you have ever used logistic regression, you can probably credit Cox. He popularized the model during a time when Probit regression was more popular.
For the younger generation, a logistic regression is a neural network without a hidden layer :)
- KerryJones 5y agoAny specific suggested books by Dr. Cox as someone new but enthusiastic to the field?
- clircle 5y agoCox had unrivaled breadth across the statistical books that he authored, and I'm far from an expert on his catalog, but I have read three and they are excellent. - Theory of Design of Experiments is an excellent and non-technical book on experimentation and data collection. Still important in an era of big data! - Analysis of Survival Data is the book on the Cox model. It is quite technical. I own this book for historical reasons, and I'm glad I read it, but I now recommend Therneau for serious survival statistics. - Theoretical Statistics w/ Hinkley is still a great mathematical statistics book. Excellent math-stats books are uncommon now, and Cox was a master. Cox also wrote a few books on stochastic processes that are well regarded, but I'm unfamiliar. I most recently read Celebrating Statistics: Papers in honour of Sir David Cox on his 80th birthday which is a very thoughtful collection.
- pjmorris 5y agoPrinciples of Applied Statistics by D. R. Cox and Christl A. Donnelly From Cosma Shalizi's review [0]: > D. R. Cox published his first major book, Planning of Experiments, in 1958; he has been making major contributions to the theory and practice of statistics for as long as most current statisticians have been alive. He is now in a reflective phase of his career, and this book, coauthored with the distinguished biostatistician Christl A. Donnelly, is a valuable distillation of his experience of applied work. It stands as a summary of an entire tradition of using statistics to address scientific problems. [0] http://bactra.org/reviews/cox-donnelly.html http://bactra.org/reviews/cox-donnelly.html
- clircle 5y agoSounds incredible. I will surely read this one!