Psychology, Psychiatry & Mental Health

Meta-Analysis in Psychiatry Research
Fundamental and Advanced Methods

Mallikarjun B. Hanji, PhD

Meta-Analysis in Psychiatry Research

Published. Available now.
Pub Date: March 2017
Hardback Price: $139.95 US
Hard ISBN: 9781771883764
E-Book ISBN: 9781771883771
Pages: 280pp w/ index
Binding Type: hardback

Meta-Analysis in Psychiatry Research: Fundamental and Advanced Methods introduces the latest meta-analytical methods and discusses their applications in the field of psychiatry. A comprehensive list of methods used in meta-analysis has been described in a simple language and demonstrated with real-time examples in estimation of pattern and prevalence of schizophrenia. Suitable software is examined in detail as well.

This informative volume first explains the importance of meta-analysis and describes how it differs from narrative and systematic reviews. It also relates the historical development of meta-analysis. The book then goes on to explain the methods used for locating and selecting the required studies in a given domain, keeping in view various biases and quality parameters, followed by extracting summary statistics and transforming them to common end-point and preliminary analysis using several graphical approaches.

The author explains how to study the nature, quantity, and source of variation among selected studies, which will determine the various models to be used while pooling the estimates under meta-analysis. Various methods of pooling the individual estimates and comparing the advantages of each under different models are then described. The book discusses several advanced techniques of meta-analysis to suit specific situations, followed by discussion of the implications of meta-results. The selection of suitable software for meta-analysis is addressed in detail. The last and most important chapter helps the reader to visualize most of the methods used in meta-analysis and their results through real-time examples in estimation of pattern and prevalence of schizophrenia.

This new book will help professionals, teachers, and students to understand and apply the latest methods of meta-analysis. A selection of methods used in meta-analysis has been described in a simple language through real-time examples in estimation of pattern and prevalence of schizophrenia, and suitable software is examined as well.

FEATURES

  • Helps readers to understand and apply the latest methods of meta-analysis.
  • Describes the importance of meta-analysis
  • Presents the historical development of meta-analysis
  • Explains fundamental and advanced meta-analytical methods in a simple language
  • Helps readers to visualize the meta-analytical methods with the help of real-time examples in estimation of pattern and prevalence of schizophrenia
  • Provides suggestions for suitable software for meta-analysis based on the user requirements

CONTENTS:
Preface
1. Introduction
2. Protocol Writing for Meta-Analysis Study
3. Formulation of Research Problem
4. Location Selection of Studies
5. Quality Assessment of Selected Studies
6. Effect Sizes of Primary Studies
7. Preparation of Meta-Analysis Master Sheet
8. Meta-Analysis Plots
9. Meta-Analysis of Two Studies
10. Methods for Pooling Estimates: Fixed Effects Model
11. Method for Pooling Estimates: Random Effects Model
12. Individual Patient Data Meta-Analysis
13. Meta-Analysis of Observational Studies
14. Additional Meta-Analysis Techniques
15. Reporting Meta-Analysis Results
16. Implications of Results of Meta-Analysis
17. Meta-Analysis Software
18. Running Meta-Analysis Using STATA
Index


About the Authors / Editors:
Mallikarjun B. Hanji, PhD
Chief Technical Officer, ICAR Zonal Project Directorate, Agricultural Technology Application Research Institute, Bangalore, India

Mallikarjun B. Hanji, PhD, a Chief Technical Officer at the ICAR Agricultural Technology Application Research Institute, Bangalore, India, and has over 25 years of research, teaching, and extension experience. He has published several scientific papers, including an introductory paper on meta-analysis for mental health care research followed by pattern of prevalence of mental retardation and affective disorders in India. His main contribution is the identification of suitable methods for estimation of pattern and prevalence for schizophrenia and epilepsy in India. He received his MSc in agricultural statistics from the University of Agricultural Sciences, Bangalore; an MBA from Indira Gandhi National Open University, New Delhi; and a PhD in biostatistics (topic: meta-analytical approach to estimate pattern of prevalence of schizophrenia and epilepsy in India) from the Department of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.




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