Munro's Statistical Methods for Health Care Research Author: Stacey B. Plichta ScD CPH Elizabeth Kelvin PhD MPH | Language: English | ISBN:
145111561X | Format: EPUB
Munro's Statistical Methods for Health Care Research Description
Rev. ed. of: Statistical methods for health care research / Barbara Hazard Munro. 5th ed. c2005.
- Series: Statistical Methods for Health Care Research
- Paperback: 576 pages
- Publisher: Lippincott Williams & Wilkins; Sixth edition (January 30, 2012)
- Language: English
- ISBN-10: 145111561X
- ISBN-13: 978-1451115611
- Product Dimensions: 1.1 x 7 x 8.7 inches
- Shipping Weight: 1.8 pounds
I questioned reviewing this for two reasons ... first, it's a textbook, and most buyers probably don't have a choice about which Statistics textbook to buy. Secondly, I'm new to statistics, and I'm learning it as a person would learn a foreign language ... from the ground up. That being said, I decided to go forward with it in case it matters in some way with revisions, or if someone out there is looking for a book to use to teach themselves statistics.
The book is well laid out, and seems to take things in a logical sequence. I have liked the healthcare-related examples to drive home what they are trying to explain. My issue with this book it that it contains what I suspect are typing errors.
As an example... on page 71, the equation is given to calculate z-scores as z=(x-mu) / sigma x (3-18). (sorry ... don't know how to type the special symbols, but you get the idea). I worked for quite some time to try to figure out where the (3-18) came from that I was supposed to multiply by, only to conclude that this was a typing error since the formulas are all referenced with chapter number and a sequence of numbers. This one is #3-16, so I think maybe it was type-set with a 3-18 looking like part of the actual formula.
Another example is in the chapter review for chapter 2. Question 8 is supposed to (according to the answer key) read: "Standard deviation is best described by which of the following statements? c) It is the variance squared". I spent quite a bit of time trying to figure out why I got this one wrong - but all sources I found reiterate that SD is the square root of the variance, not the variance squared.
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