Download PDF Primer of biostatistics, by Stanton A Glantz
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Primer of biostatistics, by Stanton A Glantz
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The book focuses on practical areas of statistics in terms of their relevance to biomedical applications-statistical hypothesis testing and estimation, illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics. Packaged with the book or available separately, a Software Program (IBM or Apple) offers an easy-to-use, menu-driven program which performs 17 commonly used statistical tests featured in the Third Edition of Primer of Biostatistics.
- Published on: 1980
- Binding: Unknown Binding
Most helpful customer reviews
0 of 0 people found the following review helpful.
All inclusive with examples! Great for researchers.
By Wetendor
Everything you'll ever need for scientific stats with examples. Easy to read and a great all inclusive primer.
4 of 5 people found the following review helpful.
Best stats book out there without the errors of the 6th edition
By Amazon Customer
The quickest, most accurate stats book out there. Warning: you must read it carefully, you can't really skim. That said, if you do read it carefully, even just the first few chapters, you will truly understand basic stats. Before reading this I didn't get significance or what a t-test really meant. Now I can speak the lingo and critically assess other authors work. Just a great book if you give it a few hours to sink in.
Get the 5th edition, not the 6th, for some reason the 6th is full of typos and errors in the examples.
5 of 5 people found the following review helpful.
Horrifying Errors
By MQu
Unfortunately, this book is filled with typos and mathematical errors, including the solutions section. A maths book clearly fails by letting its readers down and results in significant time loss when any errors exist in the solutions section, believe me. Some are even as basic as addition and subtraction errors in formulating solutions tables. The errors are otherwise just about acceptable in the standard text.
Whilst it reads well in parts, its strengths come from the examples provided, which relate to real life clinical trials and data. However, despite my relatively decent mathematical background, derivations sometimes suddenly lead to a formula or solution out of the blue. The text unfortunately does so in parts too leaving out the systematic approach to the explanation.
I guess you can't have both a true mathematical guide with such clinical emphasis, but for me, the typos just destroy it.
Without these irritating errors, the strengths of the book really would have been something to rate this book highly for.
Seriously beware. Needs to be pulled of bookshelves in this current state. Sorry.
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