Laboratory Statistics - 2nd Edition - ISBN: 9780128143483, 9780128143490

Laboratory Statistics

2nd Edition

Methods in Chemistry and Health Sciences

Authors: Anders Kallner
eBook ISBN: 9780128143490
Paperback ISBN: 9780128143483
Imprint: Elsevier
Published Date: 23rd October 2017
Page Count: 174
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Description

Laboratory Statistics: Methods in Chemistry and Health Science, Second Edition, presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. Spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. This thoroughly revised second edition includes several new sections, more examples, and all formulas in Excel code.

Key Features

  • Provides comprehensive coverage of simple statistical concepts
  • Familiarizes the reader with formatted statistical expression
  • Presents simple, worked examples that make formulas easy to apply
  • Includes spreadsheet functions that demonstrate how to find immediate solutions to common problems

Readership

Analytical and clinical chemists; epidemiologists; researchers in all laboratory science disciplines; physicists, engineers; students in these areas

Table of Contents

1. Basics
2. Distributions of Data
3. Permutations, Combinations, Probability, Binominal and Poisson Distributions
4. Robust Estimators
5. Uncertainty
6. Difference Between Results
7. Non-Parametric Comparisons
8. Analysis of Variance
9. Analysis of Variance Components
10. Regression
11. Correlation and Covariance
12. Comparing Quantities
13. Performance Characteristics
14. Interpretation of the Elements of the ROC Analysis
15. Estimation of Minimal Sample Size (Power Analysis)
16. Agreement Between Categorical Assessments (Kappa (Κ)-Statistics) Some Metrological Concepts
17. Metrology, Accuracy, Trueness and Precision
18. Uncertainty Concept and Uncertainty Budget
19. Miscellanea

Details

No. of pages:
174
Copyright:
© Elsevier 2018
Published:
Imprint:
Elsevier
eBook ISBN:
9780128143490
Paperback ISBN:
9780128143483

About the Author

Anders Kallner

Dr. Kallner studied general chemistry at the University of Stockholm and organic chemistry at the International Union of Pure and Applied Chemistry (IUPAC) Elections Royal Institute of Technology in Stockholm before graduating with a PhD in biochemistry from the Karolinska Institute in 1967. He later earned his MD at the same university and became Associate Professor of Clinical Chemistry at the Karolinska Institute. He has held positions in county, regional, and university hospitals. Although he retired from Karolinska University Hospital in 2005, Dr. Kallner retains professional assignments in the laboratory and international organizations. He has given more than 250 invited lectures and has contributed to more than 180 publications. Dr. Kallner has held numerous memberships and leadership roles on numerous international committees, including the International Organization for Standardization (ISO), the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), and the IUPAC. Dr. Kallner has participated in the development of several CLSI Evaluation Protocols, and is currently the chair holder of the Subcommittee on Expression of Measurement Uncertainty in Laboratory Medicine (C51) and an active member of the CLSI Area Committee on Evaluation Protocols. He has chaired and participated in the development of a standard in metrology in ISO, CEN, and CLSI.

Dr. Kallner’s scientific work has spanned a wide field ranging from organic synthesis and metabolism of cholesterol to epidemiological and metabolic studies of vitamin D. An interest in quality management and development of routines for quality assessment in the laboratory required studies in programming and statistics. Eventually, Dr. Kallner recognized the need for a compendium of useful statistical procedures and formulas that could easily be used in programming and understanding of statistical procedure.

Affiliations and Expertise

Karolinska University Hospital, Stockholm, Sweden

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