mostraligabue
» » Biostatistics: A Foundation for Analysis in the Health Sciences (Probability Mathematical Statistics)

ePub Biostatistics: A Foundation for Analysis in the Health Sciences (Probability Mathematical Statistics) download

by Wayne W. Daniel

ePub Biostatistics: A Foundation for Analysis in the Health Sciences (Probability  Mathematical Statistics) download
Author:
Wayne W. Daniel
ISBN13:
978-0471854012
ISBN:
0471854018
Language:
Publisher:
John Wiley & Sons; 4th Edition edition (July 1, 1987)
Category:
Subcategory:
Biological Sciences
ePub file:
1391 kb
Fb2 file:
1408 kb
Other formats:
docx doc mobi azw
Rating:
4.7
Votes:
762

This book is the reference book for a statistics course I am taking.

Designed for the undergraduate and graduate student across a range of fields, from the health disciplines to forestry and animal husbandry, the text takes an applied and computer-oriented approach to its topical coverage. This book is the reference book for a statistics course I am taking.

Professor Emeritus, Georgia State University, Dr. Wayne W. Daniel taught statistics in the College of Business and . Dr. Chad L. Cross is trained as a multidisciplinary scientist and holds advanced degrees in statistics, the life sciences, and the social sciences

Professor Emeritus, Georgia State University, Dr. Daniel taught statistics in the College of Business and the College of Allied Health Sciences for thirty years. Prior to joining the Georgia State University faculty, he was employed as a biostatistician at the Georgia Department of Public Health. Cross is trained as a multidisciplinary scientist and holds advanced degrees in statistics, the life sciences, and the social sciences. He works primarily as a biostatistician, where he specializes in multivariate and nonparametric statistics, sampling and experimental design, and the application of novel techniques to nonstandard data sets.

Mobile version (beta).

I find this book hard to understand. I use STATA so that was missing in the book

I find this book hard to understand. I took basic statistics approximately 10 years ago, and thus my knowledge on the subject is highly limited. This book assumes you know quite a bit about statistics already. The explnations and examples use assumptions that I am not able to follow. There are no headlines within the chapters for important, so these are difficult to decipher. I use STATA so that was missing in the book. In any event, in spite of these shortcomings, Daniel has changed my way of approaching and understanding statistics applied in medicine and healthcare.

Only reasonable proficiency in algebra is required for an understanding of the concepts and methods underlying the calculations. Elementary Properties of Probability 68. Calculating the Probability of an Event 69. Daniel taught statistics in. . Prior to joining the Georgia State University faculty, he was employed as a biostatistician at the Georgia Department of Public Health

Biostatistics : A Foundation for Analysis in the Health Sciences. I think that Wayne Daniel's book is a fairly comprehensive introductory book in biostatistics.

Biostatistics : A Foundation for Analysis in the Health Sciences. Thomas Jefferson University uses it as a first text in biostatistics for their nursing students. Published by Thriftbooks. com User, 11 years ago. Nice biostat book that works as a good reference for people with biostatistical interests.

Provides broad coverage of statistical procedures used in all the health . Introduction to biostatistics. 1. DESCRIPTIVE STATISTICS. Bibliographic information.

Provides broad coverage of statistical procedures used in all the health science disciplines. This version contains a greater emphasis on computer applications (MINITAB command instruction is demonstrated) for most of the statistical techniques. 15. Some basic probability concepts. Biostatistics: A Foundation for Analysis in the Health Sciences Volume 347 of Wiley Series in Probability and Statistics Volume 347 of Wiley series in probability and statistics: Applied probability and statistics.

Statistics and probability for engineering applications with Microsoft Excel. production, and improvement in human health. The approach calls for a coordinated effort to leverage.

In Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences, the NRC offers. Nuclear Physics: Exploring the Heart of Matter. Statistics and probability for engineering applications with Microsoft Excel. 94 MB·75,575 Downloads·New! More than ever, American industry- especially the semiconductor industry- is using statistical. Solar and Space Physics: A Science for a Technological Society. 23 MB·28,149 Downloads·New!

This classic text takes an applied and computer-oriented approach to its topical coverage. The book is intended for one or two semester courses in biostatistics at the undergraduate or graduate level offered by departments of biostatistics, statistics, mathematics, nursing and other allied health disciplines, and is also used in some departments of forestry and animal husbandry. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.
  • I read the poor reviews for this book but needed it for a course for the homework assignments. The first 1/3 or so was fairly clear. Farther in, it got worse. This book for the most part covers the same things a "regular" statistics textbook does at the introductory level with only a few public health-specific formulas or tests. It is wordy when it doesn't need to be (and in fact, I think sometimes that makes things more confusing) and does a very poor job of helping you through the steps of some of the more complicated formulas. I consulted google for clarity and found many resources online explained concepts from this book very simply in FAR less space. Sometimes all you really need in statistics is the step by step walkthrough for example problems and I was not happy to see that some of the sample problems basically give you a formula and the answers - which is not much more helpful than just doing the exercises and checking your answers in the back of the book. If you can get away with it, I would recommend not purchasing this book and using a reserve copy at your library if it is available, or maybe just photocopying the homework questions necessary and then using your instructor's notes or online resources for the rest. I won't be keeping it and will probably buy another statistics book to keep on hand as a reference. Really disappointed that with so many editions they have not improved the quality.

  • I find this book hard to understand. I took basic statistics approximately 10 years ago, and thus my knowledge on the subject is highly limited. This book assumes you know quite a bit about statistics already. The explnations and examples use assumptions that I am not able to follow. There are no headlines within the chapters for important information/formulas, so these are difficult to decipher. Also, my professor is continually saying how the book is just wrong on certain topics. It does not use SPSS, it uses minitab. I would not recommend this book to a beginning stats user. There are better texts out there for this class. I gave it an extra star for having good examples that use real life situations.

  • Clear, comprehensive and well-written - and best of all, this is the penultimate edition, so available used at around 5% of the current latest edition. Thankfully, basic stats hasn't changed for close to 300 years, so the edition before last works for everyone except poor students forced to buy the latest one.

  • Thought the Kindle version would be better because of the search feature but search is severely limited. Will spend the extra for a hard copy next time.

  • Helped me understand how to apply various statistical tests in a methodical manner. Only thing I didn't like was that it was loose-leaf, which I was not expecting

  • I am not a math whiz by any means, but I've had other statistics textbooks that were a lot more helpful than this one. It doesn't always break down all the steps in a problem and often doesn't include why to use certain formulas or why to use certain tables in the appendix. It's not written like it's geared towards students, its written like reference material for statisticians who already know what they're doing. Then again, the professor who teaches the class in which I use this book can barely speak English, so I'm learning everything strictly from this textbook.

  • Excellent, thorough, comprehensive guide to the basics of statistics. Especially useful in clinical epidemiology. Only problem is that the answers to the questions are provided only for odd numbers. Fail. Excel spreadsheets available and very useful. I use STATA so that was missing in the book. In any event, in spite of these shortcomings, Daniel has changed my way of approaching and understanding statistics applied in medicine and healthcare.

  • Great!