我认为 Frank Harrell 的《回归建模策略》（Regression Modeling Strategies）是进行回归分析最好的参考书之一。网站：http://biostat.mc.vanderbilt.edu/wiki/Main/RmS 亚马逊图书链接：http://amzn.to/1UdPWOv
I believe Frank Harrell's Regression Modeling Strategies is one of the best references for performing regression analysis. website: http://biostat.mc.vanderbilt.edu/wiki/Main/RmS Amazon book: http://amzn.to/1UdPWOv
…feeding in the numbers and getting back a fitted model, but actually knowing how everything works, what the common issues are, how to interpret the estimates and so on. Once you've got that down, read Regression Modeling Strategies by Harrell to go really in depth. Or if you're really just interested in prediction, Hastie and Tibshirani is wonderful of course.
I really like the way Harrell uses PCA to build regression analysis in Regression Modeling Strategies https://link.springer.com/book/10.1007/978-3-319-19425-7
关于这个主题的在线资料比较零散，但有一些好书，比如 Frank E. Harrell 的《回归建模策略》（Regression Modeling Strategies）和 Naeem Siddiqi 的《信用风险评分卡》（Credit Risk Scorecards）。
Online material on this subject is scattered, but there are good books like Regression Modeling Strategies by Frank E. Harrell and Credit Risk Scorecards by Naeem Siddiqi.
Frank Harrell 展示了一种使用 PCA 通过回归建模策略进行降维的方法。他的课件讲义（pdf）是学习多种回归策略的极佳参考资料。http://biostat.mc.vanderbilt.edu/wiki/Main/RmS
Frank Harrell demonstrates a way to use PCA to reduce dimensionality with regression modeling strategies. His Course Notes (pdf) is a good reference point for multiple strategies on regression. http://biostat.mc.vanderbilt.edu/wiki/Main/RmS
关于回归分析，我个人非常推崇 Frank Harrell 的《回归建模策略》（Regression Modeling Strategies）。http://biostat.mc.vanderbilt.edu/wiki/Main/RmS
For regression I really like Frank Harrell's Regression Modeling Strategies. http://biostat.mc.vanderbilt.edu/wiki/Main/RmS
我认为 Frank Harrell 的《回归建模策略》（Regression Modeling Strategies）是进行回归分析最好的参考书之一。网站：http://biostat.mc.vanderbilt.edu/wiki/Main/RmS 亚马逊图书链接：http://amzn.to/1UdPWOv
I believe Frank Harrell's Regression Modeling Strategies is one of the best references for performing regression analysis. website: http://biostat.mc.vanderbilt.edu/wiki/Main/RmS Amazon book: http://amzn.to/1UdPWOv
……把数字喂进去然后得到一个拟合好的模型，而是真正搞懂所有东西是怎么运作的、常见问题有哪些、如何解释估计值等等。一旦你掌握了这些，去读 Harrell 的《回归建模策略》（Regression Modeling Strategies）来做真正的深度钻研。或者要是你真的只对预测感兴趣，Hastie 和 Tibshirani 的书当然也很棒。
…feeding in the numbers and getting back a fitted model, but actually knowing how everything works, what the common issues are, how to interpret the estimates and so on. Once you've got that down, read Regression Modeling Strategies by Harrell to go really in depth. Or if you're really just interested in prediction, Hastie and Tibshirani is wonderful of course.
我非常喜欢 Harrell 在《回归建模策略》（Regression Modeling Strategies）里用 PCA 来构建回归分析的方法 https://link.springer.com/book/10.1007/978-3-319-19425-7
I really like the way Harrell uses PCA to build regression analysis in Regression Modeling Strategies https://link.springer.com/book/10.1007/978-3-319-19425-7
关于这个主题的在线资料比较零散，但有一些好书，比如 Frank E. Harrell 的《回归建模策略》（Regression Modeling Strategies）和 Naeem Siddiqi 的《信用风险评分卡》（Credit Risk Scorecards）。
Online material on this subject is scattered, but there are good books like Regression Modeling Strategies by Frank E. Harrell and Credit Risk Scorecards by Naeem Siddiqi.
Frank Harrell 展示了一种使用 PCA 通过回归建模策略进行降维的方法。他的课件讲义（pdf）是学习多种回归策略的极佳参考资料。http://biostat.mc.vanderbilt.edu/wiki/Main/RmS
Frank Harrell demonstrates a way to use PCA to reduce dimensionality with regression modeling strategies. His Course Notes (pdf) is a good reference point for multiple strategies on regression. http://biostat.mc.vanderbilt.edu/wiki/Main/RmS