
Applied logistic regression
by David W. Hosmer · first published 1989
2mentions
2recommended by
2HN commenters
2018first – last mentioned
100% recommend
From the reviews of the First Edition."An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."--Choice"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various
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Hosmer, Applied Logistic Regression. Lots of applied stats problems are based on categorical data, and this book really helped me to understand the theory better.
on “Ask HN: What are your favorite statistics and probability textbooks?” ↗Some of the best textbooks in statistics and machine learning: Applied ------- Hosmer et al., Applied Logistic Regression. An exhaustive guide to the perils and pitfalls of logistic regression. Logistic regression is the power tool of interpretable statistical models, but if you don't understand it, it will take your foot…
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