Mendelian randomization: methods for using genetic variants in causal estimation (Record no. 389582)

MARC details
000 -LEADER
fixed length control field 05028cam a22002417i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150504s2015 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781466573178
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 616.042015195
Item number B8M3
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Burgess, Stephen
9 (RLIN) 328438
245 10 - TITLE STATEMENT
Title Mendelian randomization: methods for using genetic variants in causal estimation
Statement of responsibility, etc. Burgess, Stephen
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2015
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 210 p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman and Hall/CRC interdisciplinary statistics series
9 (RLIN) 328447
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents:<br/><br/><br/>I USING GENETIC VARIANTS AS INSTRUMENTAL VARIABLES TO ASSESS CAUSAL RELATIONSHIPS<br/><br/><br/>1. Introduction and motivation<br/>Shortcomings of classical epidemiology<br/>The rise of genetic epidemiology<br/>Motivating example: The inflammation hypothesis<br/>Other examples of Mendelian randomization<br/>Overview of book<br/>Summary<br/><br/>2. What is Mendelian randomization?<br/>What is Mendelian randomization?<br/>Why use Mendelian randomization?<br/>A brief overview of genetics<br/>Summary<br/><br/>3. Assumptions for causal inference<br/>Observational and causal relationships<br/>Finding a valid instrumental variable<br/>Testing for a causal relationship<br/>Estimating a causal effect<br/>Summary<br/><br/>4. Methods for instrumental variable analysis<br/>Ratio of coefficients method<br/>Two-stage methods<br/>Likelihood-based methods<br/>Semi-parametric methods<br/>Efficiency and validity of instruments<br/>Computer implementation<br/>Summary<br/><br/>5. Examples of Mendelian randomization analysis<br/>Fibrinogen and coronary heart disease<br/>Adiposity and blood pressure<br/>Lipoprotein(a) and myocardial infarction<br/>High-density lipoprotein cholesterol and myocardial infarction<br/>Discussion<br/><br/>6. Generalizability of estimates from Mendelian randomization<br/>Internal and external validity<br/>Comparison of estimates<br/>Discussion<br/>Summary<br/><br/><br/>II STATISTICAL ISSUES IN INSTRUMENTAL VARIABLE ANALYSIS AND MENDELIAN RANDOMIZATION<br/><br/><br/>7. Weak instruments and finite-sample bias<br/>Introduction<br/>Demonstrating the bias of IV estimates<br/>Explaining the bias of IV estimates<br/>Properties of IV estimates with weak instruments<br/>Bias of IV estimates with different choices of IV<br/>Minimizing the bias of IV estimates<br/>Discussion<br/>Key points from chapter<br/><br/>8. Multiple instruments and power<br/>Introduction<br/>Allele scores<br/>Power of IV estimates<br/>Multiple variants and missing data<br/>Discussion<br/>Key points from chapter<br/><br/>9. Multiple studies and evidence synthesis<br/>Introduction<br/>Assessing the causal relationship<br/>Study-level meta-analysis<br/>Summary-level meta-analysis<br/>Individual-level meta-analysis<br/>Example: C-reactive protein and fibrinogen<br/>Binary outcomes<br/>Discussion<br/>Key points from chapter<br/><br/>10. Example: The CRP CHD Genetics Collaboration<br/>Overview of the dataset<br/>Single study: Cardiovascular Health Study<br/>Meta-analysis of all studies<br/>Discussion<br/>Key points from chapter<br/><br/><br/>III PROSPECTS FOR MENDELIAN RANDOMIZATION<br/><br/><br/>11. Future directions<br/>Methodological developments<br/>Applied developments<br/>Conclusion<br/><br/>Bibliography<br/><br/>Index<br/><br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization spanning epidemiology, statistics, genetics, and econometrics. Although the book mainly focuses on epidemiology, much of the material can be applied to other areas of research.<br/><br/>Through several examples, the first part of the book shows how to perform simple applied Mendelian randomization analyses and interpret their results. The second part addresses specific methodological issues, such as weak instruments, multiple instruments, power calculations, and meta-analysis, relevant to practical applications of Mendelian randomization. In this part, the authors draw on data from the C-reactive protein Coronary heart disease Genetics Collaboration (CCGC) to illustrate the analyses. They present the mathematics in an easy-to-understand way by using nontechnical language and reinforcing key points at the end of each chapter. The last part of the book examines the potential of Mendelian randomization in the future, exploring both methodological and applied developments.<br/><br/>This book gives statisticians, epidemiologists, and geneticists the foundation to understand issues concerning the use of genetic variants as instrumental variables. It will get them up to speed in undertaking and interpreting Mendelian randomization analyses. Chapter summaries, paper summaries, web-based applications, and software code for implementing the statistical techniques are available on a supplementary website.<br/><br/><br/>(https://www.crcpress.com/Mendelian-Randomization-Methods-for-Using-Genetic-Variants-in-Causal-Estimation/Burgess-Thompson/9781466573178)<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical genetics - Statistical methods
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mendelian randomization analysis - methods
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetic Variation
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics as topic - methods
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical genetics - Statistical methods
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Thompson, Simon G.
9 (RLIN) 328443
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Ahmedabad Ahmedabad   01/02/2016 Pustak 3293.88   616.042015195 B8M3 190945 01/02/2016 4117.34 30/01/2016 Book

Powered by Koha