eBook: Download Regression Modeling Strategies Applications Statistics ePub (MOBI, PDF) + Audio Version


  • File Size: 14731 KB
  • Print Length: 582 pages
  • Publisher: Springer; 2 edition (August 14, 2015)
  • Publication Date: August 14, 2015
  • Language: English

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If you need to move past the " just use cross validation" stage of your CUBIC CENTIMETERS work and improve your model's generalization (and understand why and when to utilize techniques like bootstrapping) this is the book for you., Knowledgeable, experienced update of this classical work on stats, bringing with it additional years of Professor Frank Harrell, Jr's in-depth experience, guidelines of thumb, and practicals., Excellent reference work in developing and understanding medical modeling techniques for patient proper care decisions., This is a must reference for anyone doing regression analyses., This is a thorough yet practical treatment of regression analysis aimed at the practicing statistician or graduate student. Although not clearly stated, it assumes that you have at the very least taken one college-level course in regression analysis (i. e. you can understand linear, logistic, and Cox PH regression models and perform these analyses on a clean-ish dataset). There is a decent level of math, but it's never overwhelming. On the opposite, it is only used to build your intuition of the underlying methods.

This book is a great reference to have on hand while doing regression analysis, but it's also good for self-teaching if you have some background knowledge and time. " Clinical Prediction Models" by Prof. Steyerberg can be used as an on-ramp to this guide should you not have a strong mathematical background, such as myself.

There is plenty of community support for the R package (rms) and the author of the textbook is active on Q&A forums such as StackExchange and CrossValidated. The guide website is actively up-to-date as well, and Prof. Harrell teaches a live course based on the book once (? ) a year in Nashville., I have only read one chapter in this book, but I think I will say that this is one of my favorite mathematics books. My experience with it has almost already been interactive because all the questions which i have are always answered either in the next sentence or in the footnotes. Regression Modeling Strategies is obviously a steal for whatever they are asking, if not for the amazing content and references, but for the quantity of pages and coloured pictures alone. Writing this review is sort of funny because even if I was lying, it shouldn't really matter since if you are reading this, you most likely need it. The biggest downside to the book is the subpar cover; boring mustard color with text., i want to return this.

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Regression Modeling Strategies Applications Statistics
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