Last edition Elsevier 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.
Last Edition
ISBN 13: 9780128143483
Imprint: Elsevier
Language: English
Authors: Anders Kallner
Pub Date: 10/2017
Pages: 174
Illus: Illustrated
Weight: 290.00 grams
Size: h 152 X 229 mm
Product Type: Softcover
| List Price |
| grn 3395 |
| $ 115,10 |
| to order |
- • 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
- Anders Kallner, Karolinska University Hospital, Stockholm, Sweden
- 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 (?)-Statistics) Some Metrological Concepts
- 17. Metrology, Accuracy, Trueness and Precision
- 18. Uncertainty Concept and Uncertainty Budget
- 19. Miscellanea
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