Introduction to Statistical Analysis of Laboratory Data

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 to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as fit for purpose procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions INDICE: Descriptive Statistics1.1 Measures of Central Tendency1.2 Measures of Variation1.3 Laboratory Example1.4 Putting it All Together1.5 SummaryDistributions and Hypothesis Testing in Formal Statistical Laboratory Procedures 2.1 Introduction2.2 Confidence Intervals2.3 Inferential Statistics – Hypothesis TestingMethod Validation3.1 Introduction3.2  Accuracy3.4  Sensitivity, Specificity (Selectivity)3.5 Method Validation and Method Agreement – Bland AltmanMethodologies in Outlier Analysis4.1 Introduction4.2 Some Outlier Determination Techniques4.3. Combined Method Comparison Outlier Analysis4.4 Some Consequences Of Outlier Removal4.5 Considering Outlier VarianceStatistical Process Control5.1 Introduction5.2 Control Charts5.3 Capability Analysis5.4 Capability Analysis – An Alternate ConsiderationLimits of Calibration6.1 Calibration: Limit Strategies for Laboratory Assay Data6.2 Limit Strategies6.3 Method Detection Limits (EPA)6.4 Data Near The Detection Limits6.5 More on Statistical Management of Non Detects6.6 The Kaplan–Meier Method (Non–Parametric Approach) for Analysis of Lab Data with Non–DetectsCalibration Bias7. 1 Error7.2 Uncertainty7.3 Sources of Uncertainty7.4 Estimation Methods of Uncertainty7.5 Calibration Bias7.6 Multiple Instruments7.7 Crude vs. Precise MethodologiesRobustness and Ruggedness8.1 Introduction8.2 Robustness8.3  uggedness8.4 An Alternative Procedure for Ruggedness Determination8.5 Ruggedness and System Suitability Tests       

• ISBN: 978-1-118-73686-9
• Editorial: Wiley–Blackwell
• Encuadernacion: Cartoné
• Páginas: 256
• Fecha Publicación: 25/12/2015
• Nº Volúmenes: 1
• Idioma: Inglés