Multivariable Analysis: A Practical Guide for Clinicians
Multivariable Analysis: A Matter-of-fact Guide for Clinicians Books
Product Description
Multivariable analysis is a challenging theme for clinicians, whether they are novice researchers or trained practitioners. Most basic biostatistics books do not cover multivariable analysis, even as existing multivariable analysis books are dense with mathematical formulas. Multivariable Analysis: A Matter-of-fact Guide for Clinicians steps aside from mathematics and offers conceptual explanations. Dr. Mitchell Katz follows a nonthreatening, question-and-resolution approach to clarify how to perform and interpret multivariable analyses. He starts by explaining why clinicians should do multivariable analyses and then guides the reader through topics such as how to choose which type of multivariable method to perform, how to deal with gone data, and how to validate multivariable models. The book is biased with helpful tips, tables, figures, and references. Examples from the medical literature exhibit several real-world applications and uses of multivariable analysis. This book will prove to be an obligatory guide for medical students, residents, and involved physicians.
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I found Multivariable Analysis: A Matter-of-fact Guide for Clinicians by M.H.Katz very educative. We all get lost in jargons of numerical stratas and statistical jungles. It is very heartening that Dr.M.H. Katz is writing books for people like me.He is gifted novelist. This book of his, like other he authored, is very PRAGMATIC. You will end up reading this book with happiness of having learned things that eluded hundreds of books of similar title. All knowledge that one gains help him or her to improve clinical judgement. You can ascertain the pitch of a scientific paper with intelligence and not be fooled by cooked data vs factual one.
Tariq Ahmed, MD, MPH
Bellevue,WA.
Rating: 4 / 5
I have to say I’m really impressed by this book. Its problem-based,user-friendly approach is a stand-out among all other statistic textbooks. The author did an brilliant job in explaining the trying concept of multivariable analysis using simple-to-read English and no jagons. Highly not compulsory for all.
Rating: 5 / 5
From the start I felt intimidated by the title and even with the mitigating suggestion that this would be matter-of-fact, a guide, and for the clinician, the challenge was there. Throughout our training, in textbooks and journals, and in many lectures, we have to question the in rank place in front of us. Our background in basic statistics is typically primitive, and certainly may possibly use some help in understanding what we read. This very readable and even fascinating 200 plus page book really fills that need. With an introduction as much seductive as informative, Dr. Katz makes his way through his early chapters discussing common uses, outcome variables, types of regression and other basic definitions. He uses the question and resolution format which lends itself to learning the in rank in a building block manner. He constructs the book with numerous examples, handy tables and graphs and very helpful side boxes filled with pithy hints for making progress through the book. Each chapter has a built in summary and completes the questions questioned. The index is complete and very pointed, making the reader able to use the book not only to learn the theme, but to refer back to previous reading. This book had an enthusiastic first outing, and certainly this second edition is worth the price for a excellent reference. Journal of the Kentucky Medical Association, Vol 104 (8), 2006, p.395
Rating: 5 / 5
This is one of the best books I have ever read about biostatistics. It takes you further -from the ordinarily well known table statistics to the develop statistics using a step by step approach. Without covering the overall field, it tries to fortell readers’ questions and answers them in the most explicit way. It’s a book to know what is going on nearly journals and makes your steps simpler once you choose to try your way to dive in your numbers.
Rating: 5 / 5
I used this book for a class last year. I found the organization quite horrible. There are 3 main multivariate models that he discusses in the book: Multiple regression, logistic regression and Cox proportional hazards. He ignores ANCOVA, ANOVA and multi-level frequency table (chi-square) methods.
Instead of writing about the 3 main multivariate models above individually he sporadically switches between all 3 models. The TOC is organized as a run of questions and answers. I would have preferred he wrote about each of the 3 topics unconnectedly.
Although finding the in rank you want is trying, the book is written superbly. He makes it simple to know trying concepts such as interactions, develop building, collinearity and testing of assumptions. You don’t need a math background to know this book. Aside from the organization of the contents, I loved this book! I would urge for clinicians who are interested in learning about how multivariate models are made. If you review a lot of manuscripts in medical literature, this is a must read.
Rating: 3 / 5