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Books on the topic 'Meta-data-analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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1

Böhning, Dankmar. Meta-analysis of binary data using profile likelihood. Boca Raton: CRC Press, 2008.

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2

Meta-analysis of controlled clinical trials. Chichester: John Wiley & Sons, 2002.

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3

Mullen, Brian. Advanced BASIC meta-analysis. 2nd ed. Mahwah, NJ: Lawrence Erlbaum, 2003.

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4

Advanced BASIC meta-analysis. Hillsdale, N.J: L. Erlbaum Associates, 1989.

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5

Guido, Knapp, and Sinha Bimal K. 1946-, eds. Statistical meta-analysis with applications. Hoboken, N.J: Wiley, 2008.

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6

Böhning, Dankmar. Computer-assisted analysis of mixtures and applications: Meta-analysis, disease mapping and others. Boca Raton, Fla: Chapman & Hall/CRC, 2000.

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7

1933-, Rosenthal Robert, ed. BASIC meta-analysis: Procedures and programs. Hillsdale, N.J: L. Earlbaum Associates, 1985.

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8

Computer-assisted analysis of mixtures and applications: Meta-analysis, disease mapping, and others. Boca Raton, Fla: Chapman & Hall/CRC, 1999.

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9

Wang, Morgan C. Integrating results through meta-analytic review using SAS® software. Cary, NC: SAS Institute, 1999.

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10

HARMA Meeting (7th 1996 Dublin, Ireland). Meta-analysis and the design and the analysis of multi-site investigations and data sources and information networks in agriculture: VII HARMA Meeting, Dublin, November 8 1996. Dublin: [UCD], 1996.

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11

Meta-analysis, decision analysis, and cost-effectiveness analysis: Methods for quantitative synthesis in medicine. New York: Oxford University Press, 1994.

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12

service), SpringerLink (Online, ed. Medical Applications of Finite Mixture Models. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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13

Riley, Richard D., Jayne F. Tierney, and Lesley A. Stewart, eds. Individual Participant Data Meta‐Analysis. Wiley, 2021. http://dx.doi.org/10.1002/9781119333784.

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14

Haig, Brian D. Meta-Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0005.

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Chapter 5 is concerned with the conceptual foundations of meta-analysis. It deals with large-scale issues having to do with meta-analysis and the nature of science. Meta-analysis is an approach to data analysis that involves the quantitative, or statistical, analysis of data analyses from a number of existing primary studies in a common domain. At its simplest, meta-analysis involves computing the average effect size for a group of studies. The chapter begins by discussing Gene Glass’s rationale for meta-analysis. It then examines David Sohn’s argument that meta-analysis does not produce genuine scientific discoveries. The roles of meta-analysis in relation to the processes of phenomena detection and scientific explanation are also considered.
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15

Meta-analysis of Binary Data Using Profile Likelihood (Interdisciplinary Statistics). Chapman & Hall/CRC, 2008.

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16

Simske, Steven. Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis. Morgan Kaufmann, 2019.

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17

Whitehead, Anne. Meta-Analysis of Controlled Clinical Trials. Wiley & Sons, Incorporated, John, 2008.

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18

Whitehead, Anne. Meta-Analysis of Controlled Clinical Trials. Wiley & Sons, Incorporated, John, 2003.

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19

Pigott, Therese D. The application of normal maximum likelihood methods to missing data in meta-analysis. 1992.

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20

Advanced Basic Meta-analysis: Version 1.10. Lawrence Erlbaum, 1993.

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21

Advanced Basic Meta-analysis: Version 1.10. Lawrence Erlbaum, 1993.

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22

J, Sutton A., ed. Methods for meta-analysis in medical research. Chichester: J. Wiley, 2000.

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23

Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine. Oxford University Press, USA, 2000.

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24

Elwood, Mark. Combining results from several studies: systematic reviews and meta-analyses. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682898.003.0009.

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This chapter explains systematic reviews, the PRISMA format, and meta-analysis. It discusses publication bias, outcome reporting bias, funnel plots, the issue of false positive results in small studies, along with search strategies, electronic databases, PubMed, and the Cochrane collaboration. It discusses the assessment of quality, risks of bias, limitations of meta-analysis, heterogeneity testing, effect modification, and meta-regression methods. In part two, it explains statistical methods for meta-analyses are presented, including the Mantel-Haenszel and Peto methods for individual patient data, the inverse variance weighted method using final results, and random effects methods. Forest plots and tests of heterogeneity are explained.
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25

Abrams, Keith R., Alexander J. Sutton, David R. Jones, Trevor A. Sheldon, and Fujian Song. Methods for Meta-Analysis in Medical Research (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section). Wiley, 2000.

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26

Bhopal, Raj S. Epidemiological study designs and principles of data analysis: A conceptually integrated suite of methods and techniques. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198739685.003.0009.

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Epidemiological studies are unified by their common goals and by their basis in defined populations. The case series (or register-based study) includes examination of trends in deaths, cancers, notifiable diseases, and hospitalizations. Case–control studies are analysed by comparing the exposure to risk factors in cases to those in controls. In a population studied at a specific time and place (a cross-sectional study), measurements can be made of disease, the factors which may cause disease, or both simultaneously. Cohort studies produce data on disease incidence and are especially good on associations between risk factors and disease outcomes. Trials compare treated and untreated populations and are used, primarily, for information on effectiveness of health interventions. Natural experiments, including Mendelian randomization studies, may provide causal evidence. The principles for the analysis of all studies are similar. The design and interpretation should be in the context of traditional, systematic, and meta-analytic reviews.
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27

Integrating Omics Data. Cambridge University Press, 2015.

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28

Systematic Reviews in Health Care: A Practical Guide. Cambridge University Press, 2001.

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29

Taylor, Joseph J., and Robert Ostroff. Efficacy and Safety of Electroconvulsive Therapy in Depressive Disorders. Edited by Ish P. Bhalla, Rajesh R. Tampi, Vinod H. Srihari, and Michael E. Hochman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190625085.003.0025.

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This chapter will summarize an important systematic review and meta-analysis. The authors of this study analyzed decades of evidence from thousands of patients in order to address fundamental questions about the safety and efficacy of electroconvulsive therapy for depressive symptoms. The data from this manuscript continue to inform clinical practice in regards to this stigmatized yet potentially life-saving treatment. The chapter will discuss the setup and implementation of the systematic review and meta-analysis before focusing on the results and their implications. The last section of the chapter will identify relevant studies and present a hypothetical clinical case that requires the reader to apply basic concepts learned from the systematic review and meta-analysis.
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30

Integrated Metaregression Framework For Descriptive Epidemiology. University of Washington Press, 2012.

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31

Peacock, Janet L., Sally M. Kerry, and Raymond R. Balise. Presenting a meta-analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779100.003.0013.

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Chapter 13 introduces systematic reviews and meta-analyses, describing the use of aggregate or individual patient data. It describes how bias can arise in meta-analyses. It describes and demonstrates the use of the PRISMA guidelines statement.
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32

Jolly, Elaine, Andrew Fry, and Afzal Chaudhry, eds. Epidemiology and evidence-based medicine. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199230457.003.0020.

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Chapter 20 focuses on epidemiology and evidence-based medicine. It covers study design, types of data and descriptive statistics, from samples to populations, relationships, relative risk, odds ratios, and 'number needed to treat', survival analysis, sample size, diagnostic tests, meta-analysis, before concluding with advice on how to read a paper.
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33

Lee, Christoph I. Breast Cancer Screening in Average-Risk Women. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190223700.003.0038.

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This chapter, found in the cancer screening and management section of the book, provides a succinct synopsis of a key meta-analysis regarding the efficacy of mammography for breast cancer screening among younger and older average-risk women. This summary outlines study methodology and design, major results, limitations and criticisms, related studies and additional information, and clinical implications. Meta-analysis of available trial data demonstrates a 15% mortality reduction among women aged 39 to 49 years with routine screening mammography. This age group has the highest rates of additional imaging but lowest rates of benign biopsy. In addition to outlining the most salient features of the analysis, a clinical vignette and imaging example are included in order to provide relevant clinical context.
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34

Schlattmann, Peter. Medical Applications of Finite Mixture Models. Springer, 2010.

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35

Silman, Alan J., Gary J. Macfarlane, and Tatiana Macfarlane. Epidemiological Studies: A Practical Guide. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198814726.001.0001.

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This volume provides a practical, hands on guide to the design, planning, conduct, analysis, and interpretation of epidemiological studies. The learning points are applicable to all human studies of health and disease that require the collection and analysis of data to answer questions on disease risk, health outcomes, and the effects of interventions in ‘real world’ populations. It summarizes the main study designs used in epidemiological from purely quantitative studies to assess incidence and prevalence, to the range of observational studies used in the modern practice of epidemiology. A substantial section is devoted to the practical aspects of conduct of epidemiological studies, balancing scientific quality with practicality: the latter covering issues such as costs and ethics. This book also provides a detailed menu of activities that takes the investigator through all the necessary steps following the collection of individual subject data through to generating the statistically robust results necessary to reach conclusions about the questions asked. It provides insights into how to use existing data (secondary data analysis) to answer epidemiological questions, an increasing activity in this era of ‘big data’. Similarly, with a growing epidemiological literature, with multiple studies seemingly addressing the same question, the volume explores how practically to synthesize the results of such multiple investigations and the role of meta-analysis. The book’s ultimate goal is to provide a practical toolkit to enable the successful completion of questions appropriate for applying epidemiological methods.
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36

Sanders, Kyle, Craig Miller, Ricardo Yamada, and Marcelo Guimaraes. Transradial Access Technique. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0058.

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Transradial access (TRA) competency can be rapidly achieved by the experienced interventionist. Statistically significant reductions in bleeding and other access site complications have been shown in randomized and meta-analysis studies when comparing TRA to both brachial and femoral artery access. Despite accumulating data, vascular interventional radiologists have been hesitant to adopt TRA for a variety of reasons. However, TRA offers distal dual blood supply, easily achievable hemostasis, and no adjacent critical structures. Other advantages of TRA are safer endovascular approach concomitant with earlier ambulation, improved patient comfort, decreased length of stay, as well as potential for cost savings. This chapter discusses the TRA technique, applications, challenges, and potential complications.
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37

Haig, Brian D. The Philosophy of Quantitative Methods. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.001.0001.

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This book is concerned with the conceptual foundations of research methods. In particular, it undertakes a philosophical examination of a number of different quantitative research methods that are prominent in, or relevant for, the conduct of research in the behavioral sciences. By doing so, the deep structure of the methods is examined in order to overcome the shallow and uncritical understanding that is typically provided by textbooks and other instructional sources. The methods submitted to critical examination are important and mostly well known. They are exploratory data analysis, statistical significance testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. The treatment of the research methods examined is consistent with a philosophy of scientific realism. Theories of scientific method feature prominently in the discussions of the research methods. Each chapter contains a Further Reading section in order to help the reader extend their thinking beyond what the chapters contain.
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38

Maksimowski, Michael, and Zheala Qayyum. Initial Severity and Antidepressant Benefits. Edited by Ish P. Bhalla, Rajesh R. Tampi, Vinod H. Srihari, and Michael E. Hochman. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190625085.003.0026.

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This chapter provides a summary of a landmark study on major depressive disorder. What are the drug–placebo differences among antidepressants when both published and unpublished data are analyzed? Does antidepressant efficacy depend on the severity of initial depression scores? Starting with these questions, it describes the basics of the study, including funding, study location, who was studied, how many patients, study design, study intervention, follow-up, endpoints, results, and criticism and limitations. The main finding from this meta-analysis is that antidepressant-placebo differences are inconsequential for mildly-to-moderately depressed patients and minimal for severely depressed patients. The chapter briefly reviews other relevant studies and information, discusses implications, and concludes with a relevant clinical case.
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39

Flint, Lynn A., and Eric Widera. Exercise for the Management of Cancer-Related Fatigue (DRAFT). Edited by Nathan A. Gray and Thomas W. LeBlanc. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190658618.003.0018.

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The report described here is a systematic review and meta-analysis of 28 studies examining the relationship between physical exercise and cancer-related fatigue in adults with cancer. Overall, exercise was associated with improvements in cancer-related fatigue both during and after treatment. The data was most robust for patients with breast and prostate cancer. Aerobic exercise was the only specific type of exercise associated with an improvement in fatigue. Further study is needed to determine whether other types of exercise, such as resistance training and mind-body exercises like yoga, impact cancer-related fatigue. Further study would clarify whether exercise is associated with improvements in cancer-related fatigue for patients with malignancies other than breast or prostate cancer.
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40

Møller, Ann Merete. Evidence-based medicine in anaesthesia. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0029.

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Evidence-based medicine (EBM) is defined as ‘The judicious use of the best current evidence in making decisions about the care of individual patients’. Evidence-based medicine (EBM) is meant to integrate clinical expertise with the best available research evidence and patient values. The purpose of EBM is to assist clinicians in making the best decisions. Practising EBM includes asking an answerable, well-defined clinical question, searching for information, critically appraising information retrieved, extracting data, synthesizing data, and making conclusions about the overall effect. The clinical question includes information of the following elements: the population, the intervention, and the clinically relevant outcomes in focus. The clinical question is a tool to make the focus of the question clearer, and an aid to build the following search strategy. A comprehensive and reproducible literature search is essential for conducting a high-quality and up-to-date search. The search should include all relevant clinical databases. Papers retrieved after the search must be critically appraised and evaluated for the risk of bias. Evidence-based methods are used in the production of systematic reviews, and the development of clinical guidelines. Whether a meta-analysis should be performed depends on the quality and nature of the extracted data. Practising EBM may be challenged by a lack of well-performed trials, various types of bias (including publication bias), and heterogeneity between existing trials. Several tools have been constructed to help the process; examples are the CONSORT statement, the PRISMA statement, and the AGREE instrument.
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41

Jennings, Len, and Thomas Skovholt. Expertise in Counseling and Psychotherapy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med:psych/9780190222505.001.0001.

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Expertise in Counseling and Psychotherapy features seven master therapist studies from around the world and provides an extensive synthesis of these studies to produce the first international perspective of expert counselors and psychotherapists. The study of expertise has a rich history, whereas research on psychotherapy expertise has mostly surfaced in the past two decades. Jennings and Skovholt first applied qualitative methodology to the study of expert therapists in 1996. Qualitative research has proven to be an extremely effective method for capturing the complexity of the master therapist construct. One limitation of this line of research is that most studies have been conducted in the United States. Fortunately, there are a small but growing number of international qualitative studies on psychotherapy expertise. Moreover, these studies utilized essentially the same research questions and methodologies as our first study on expert therapists, making the consolidation of the findings seamless and trustworthy. The studies include three therapist expertise research projects in Southeast Asia, including Singapore, Japan, and Korea. In North America, there are studies from the United States and Canada. In Europe, there are studies from Portugal and the Czech Republic. The qualitative meta-analysis of all seven data sets is the highlight of our book on master therapists from around the world. The findings and recommendations from this book will enhance the training of future psychotherapists and counselors. Understanding the universal characteristics of expert therapists practicing around the world offers training programs and mental health practitioners a heuristic for optimal therapist and counselor development.
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