Mma Annotated


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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS


Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS

Author: Qingzhao Yu

language: en

Publisher: CRC Press

Release Date: 2022-03-13


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Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers. Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis. Key Features: Parametric and nonparametric method in third variable analysis Multivariate and Multiple third-variable effect analysis Multilevel mediation/confounding analysis Third-variable effect analysis with high-dimensional data Moderation/Interaction effect analysis within the third-variable analysis R packages and SAS macros to implement methods proposed in the book

Annotated Bibliography


Annotated Bibliography

Author: James E. McDonald

language: en

Publisher:

Release Date: 1982


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Clinical Applications of Mass Spectrometry in Biomolecular Analysis


Clinical Applications of Mass Spectrometry in Biomolecular Analysis

Author: Uttam Garg

language: en

Publisher: Springer Nature

Release Date: 2022-09-20


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This updated volume provides stepwise instructions for the analysis of numerous clinically important analytes by mass spectrometry. Mass spectrometry offers clinical laboratory scientists a number of advantages including increased sensitivity and specificity, multiple component analysis, and limited need for specialized reagents. These techniques are essential in laboratory fields including endocrinology, biochemical genetics, drug analysis, proteomics, and pathogen identification. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and practical, Clinical Applications of Mass Spectrometry in Biomolecular Analysis: Methods and Protocols, Second Edition is an ideal resource for clinical laboratory scientists who are already using or thinking of bringing mass spectrometry to their laboratories.