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Kategorie szczegółowe BISAC

Vital Statistics: An Introduction to Health Science Statistics

ISBN-13: 9780729541497 / Angielski / Miękka / 2013 / 244 str.

Stephen McKenzie
Vital Statistics: An Introduction to Health Science Statistics McKenzie, Stephen 9780729541497 Elsevier Churchill Livingstone - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Vital Statistics: An Introduction to Health Science Statistics

ISBN-13: 9780729541497 / Angielski / Miękka / 2013 / 244 str.

Stephen McKenzie
cena 139,90
(netto: 133,24 VAT:  5%)

Najniższa cena z 30 dni: 138,76
Termin realizacji zamówienia:
ok. 30 dni roboczych.

Darmowa dostawa!

Vital Statistics: an introduction to health science statistics is a new Australian publication. This textbook 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. Vital Statistics: an introduction to health science statistics is a relatively small and easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. 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
  • The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses
From the Foreword "Students of health sciences are commonly required to have a basic understanding of statistics. For the more mathematically inclined, this will be easily acquired and there are many existing textbooks that will serve their needs well. However, for others learning about statistics will be an onerous task that may not seem directly relevant to their goal of becoming a health practitioner. To make statistics interesting, relevant and accessible for these students is a continuing challenge for their teachers. Having a suitable textbook that can motivate, inspire and explain complex concepts in plain language would be a big help. This new book by the McKenzie brothers does just that. It reflects many years of experience in explaining statistics to students and practitioners.I hope and expect that this new textbook will infect many health science students with the authors' obvious love of the topic and lead them to want to learn more. In particular, I hope that they see the value of statistics to evidence-based professional practice and become better practitioners as a consequence.? Anthony Jorm PhD DSc, Professorial Fellow, Melbourne School of Population Health, University of Melbourne, VIC

Kategorie:
Nauka, Medycyna
Kategorie BISAC:
Medical > Epidemiologia
Social Science > Ludność i demografia
Wydawca:
Elsevier Churchill Livingstone
Język:
Angielski
ISBN-13:
9780729541497
Rok wydania:
2013
Ilość stron:
244
Waga:
0.31 kg
Wymiary:
21.8 x 14.0 x 1.6
Oprawa:
Miękka
Wolumenów:
01

Chapter 1: A Fool-Resistant Introduction to statistics

Chapter 2: Statistics as information

Chapter 3: Descriptive statistics

Chapter 4: Probability

Chapter 5: Inferential statistics, sampling and hypothesis testing

Chapter 6: Significance testing, beyond significance testing and experimental design

Chapter 7: Measures of differences (1): t-tests and the chi-square test

Chapter 8: Measures of differences (2): analysis of variance (ANOVA)

Chapter 9: Measures of association (1): correlation

Chapter 10: Measures of association (2): regression

Chapter 11: Qualitative research methods

Chapter 12: Statistics in the health sciences

Chapter 13: Reliability, validity and norms

Chapter 14: Statistics and the computer



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