Introduction to statistical analysis of laboratory data

Introduction to statistical analysis of laboratory data / Alfred Bartolucci, Karan P. Singh, and Sejong Bae.

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis -Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific t...

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Bibliographic Details
Main Author: Bartolucci, Alfred
Other Authors: Bae, Sejong, Singh, Karan P.
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, 2015.
Subjects:
Mathematics.
mathematics.
applied mathematics.
MATHEMATICS > Probability & Statistics > General.
Mathematics
Online Access:Click for online access
Table of Contents:
  • Title Page; Copyright; Table of Contents; Dedication; Preface; Intended Audience; Prospectus; Acknowledgments; Chapter 1: Descriptive Statistics; 1.1 Measures of Central Tendency; 1.2 Measures of Variation; 1.3 Laboratory Example; 1.4 Putting it All Together; 1.5 Summary; References; Chapter 2: Distributions and Hypothesis Testing in Formal Statistical Laboratory Procedures; 2.1 Introduction; 2.2 Confidence Intervals (CI); 2.3 Inferential Statistics
  • Hypothesis Testing; References; Chapter 3: Method Validation; 3.1 Introduction; 3.2 Accuracy; 3.3 Brief Introduction to Bioassay.
  • 3.4 Sensitivity, Specificity (Selectivity)3.5 Method Validation and Method Agreement
  • Bland-Altman; References; Chapter 4: Methodologies in Outlier Analysis; 4.1 Introduction; 4.2 Some Outlier Determination Techniques; 4.3 Combined Method Comparison Outlier Analysis; 4.4 Some Consequences of Outlier Removal; 4.5 Considering Outlier Variance; References; Chapter 5: Statistical Process Control; 5.1 Introduction; 5.2 Control Charts; 5.3 Capability Analysis; 5.4 Capability Analysis
  • An Alternative Consideration; References; Chapter 6: Limits of Calibration.
  • 6.1 Calibration: Limit Strategies for Laboratory Assay Data6.2 Limit Strategies; 6.3 Method Detection Limits (Epa); 6.4 Data Near the Detection Limits; 6.5 More on Statistical Management of Nondetects; 6.6 The Kaplan-Meier Method (Nonparametric Approach) for Analysis of Laboratory Data with Nondetects; References; Chapter 7: Calibration Bias; 7.1 Error; 7.2 Uncertainty; 7.3 Sources of Uncertainty; 7.4 Estimation Methods of Uncertainty; 7.5 Calibration Bias; 7.6 Multiple Instruments; 7.7 Crude Versus Precise Methodologies; References; Chapter 8: Robustness and Ruggedness; 8.1 Introduction.
  • 8.2 Robustness8.3 Ruggedness; 8.4 An Alternative Procedure for Ruggedness Determination; 8.5 Ruggedness and System Suitability Tests; References; Index; End User License Agreement.

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