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Laboratory Statistics: Methods in Chemistry and Health Sciences

Autor Anders Kallner
en Limba Engleză Paperback – 23 oct 2017
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.


  • 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
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Specificații

ISBN-13: 9780128143483
ISBN-10: 0128143487
Pagini: 174
Dimensiuni: 152 x 229 x 13 mm
Greutate: 0.28 kg
Ediția:2
Editura: ELSEVIER SCIENCE

Public țintă

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

Cuprins

1. Basics2. Distributions of Data3. Permutations, Combinations, Probability, Binominal and Poisson Distributions4. Robust Estimators5. Uncertainty6. Difference Between Results7. Non-Parametric Comparisons8. Analysis of Variance9. Analysis of Variance Components10. Regression11. Correlation and Covariance12. Comparing Quantities13. Performance Characteristics14. Interpretation of the Elements of the ROC Analysis15. Estimation of Minimal Sample Size (Power Analysis)16. Agreement Between Categorical Assessments (Kappa (Κ)-Statistics) Some Metrological Concepts17. Metrology, Accuracy, Trueness and Precision18. Uncertainty Concept and Uncertainty Budget19. Miscellanea

Recenzii

"…includes virtually every basic statistic a clinical scientist should need to comprehend in order to deal with most data sets, from exploring characteristics of the data to various simple linear regressions…If you have a reasonable grasp on the theory and methods of statistics already, this book will allow you to perform robust statistical analysis with a simple spreadsheet." --Chemistry International, July-August 2014