Laboratory Statistics: Handbook Of Formulas And Terms by Anders KallnerLaboratory Statistics: Handbook Of Formulas And Terms by Anders Kallner

Laboratory Statistics: Handbook Of Formulas And Terms

byAnders KallnerEditorAnders Kallner

Paperback | September 27, 2013

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Laboratory Statistics: Handbook of Formulas and Termspresents 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. As far as possible, 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.

  • Comprehensive coverage of simple statistical concepts familiarizes the reader with formatted statistical expression
  • Simple, worked examples make formulas easy to use in real life
  • Spreadsheet functions demonstrate how to find immediate solutions to common problems
  • In-depth indexing and frequent use of synonyms facilitate the quick location of appropriate procedures
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 universit...
Title:Laboratory Statistics: Handbook Of Formulas And TermsFormat:PaperbackDimensions:154 pages, 9.21 × 6.13 × 0.68 inPublished:September 27, 2013Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0124169716

ISBN - 13:9780124169715

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Table of Contents

Formulas: Basics Distributions of Data Robust Estimators Analysis of Variance Difference Between Results; Student's t-Tests Non-Parametric Comparisons Regression Correlation and Covariance Comparing Quantities Performance Characteristics Estimation of Minimal Sample Size (Power Analysis) Agreement Between Categorical Assessments (Kappa ( )-Statistics) Some Metrological Concepts: Metrology, Accuracy, Trueness and Precision Uncertainty Concept and Uncertainty Budget Miscellanea Index to Formulas and Definitions

Editorial Reviews

".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