
Introduction to Statistical Analysis of Laboratory Data
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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 me...
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
_ 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