Vital Statistics An introduction to health science statistics

Vital Statistics: An Introduction to Health Science Statistics draws on real world, health-related and local examples. With a broad appeal to the Health Sciences student, it demonstrates how an understanding of statistics is useful both in the real world, and in statistics exams. Written in recognit...

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Bibliographic Details
Main Authors: McKenzie, Stephen 1960- (Author), McKenzie, Dean (Author)
Format: Book
Language:English
Published: Sydney New York Churchill Livingstone Elsevier 2013
Edition:First edition
Subjects:
Online Access:Click Here to View Status and Holdings.
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090 0 0 |a WA900.1  |b M1561v 2013 
100 1 # |a McKenzie, Stephen  |d 1960-  |e author 
245 1 0 |a Vital Statistics  |b An introduction to health science statistics  |c Stephen McKenzie ; with contributed chapters by Dean McKenzie 
250 # # |a First edition 
264 # 1 |a Sydney  |a New York  |b Churchill Livingstone Elsevier  |c 2013 
264 # 4 |c ©2013 
300 # # |a x, 231 pages  |b illustrations  |c 22 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references and index 
520 # # |a Vital Statistics: An Introduction to Health Science Statistics draws on real world, health-related and local examples. With a broad appeal to the Health Sciences student, it demonstrates how an understanding of statistics is useful both in the real world, and in statistics exams. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: how data relates to information, and how information relates to knowledge; how to use statistics to distinguish information from disinformation; the importance of probability, in statistics and in life; that inferential statistics allow us to infer from samples to populations, and how useful such inferences can be; how to appropriately apply and interpret statistical measures of difference and association; how qualitative and quantitative methods differ, and when it's appropriate to use each; the special statistical needs of the health sciences, and some especially health science relevant statistics; and the vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses 
650 1 2 |a Vital Statistics 
650 2 2 |a Health Status Indicators 
650 2 2 |a Statistics as Topic 
700 1 # |a McKenzie, Dean  |e author 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=943634