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Meta-analysis in clinical researchprinciples and procedures /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Meta-analysis in clinical researchby Anoop Kumar.
其他題名:	principles and procedures /
作者:	Kumar, Anoop.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xxii, 119 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Clinical medicineResearch
電子資源:	https://doi.org/10.1007/978-981-99-2370-0
ISBN:	9789819923700$q(electronic bk.)

Meta-analysis in clinical researchprinciples and procedures /
Kumar, Anoop.

Meta-analysis in clinical researchprinciples and procedures /[electronic resource] :by Anoop Kumar. - Singapore :Springer Nature Singapore :2023. - xxii, 119 p. :ill., digital ;24 cm.

Chapter 1_Introduction -- Chapter2_Systematic literature review (SLR) -- Chapter 3_Registration and software's -- Chapter 4_Quality Assessment of Studies -- Chapter 5_Extraction and Analysis of data -- Chapter 6_Models in Meta-analysis -- Chapter 7_Heterogeneity and Publications bias -- Chapter 8_Sensitivity and subgroup analysis -- Chapter 9_Meta-regression -- Chapter 10_Plots in Meta-analysis -- Chapter 11_Network Meta-analysis -- Chapter 12_Common mistakes -- Chapter 13_Challenges -- Chapter 14_Future Perspectives -- Chapter 15_Future perspectives.

This book provides conceptual information on the various processes involved in meta-analysis. It examines the importance of meta-analysis for the analyses of clinical data to draw a valid conclusion using suitable software. The initial sections of the book introduce meta-analysis, how to perform a systematic literature review (SLR), quality assessment of studies, extraction, and analysis of data. The subsequent section of the book contains information on advanced topics including, meta-regression, network meta-analysis, issues, mistakes, and future perspectives. In summary, the book provides a statistical method for combining the results of different studies on the same topic and resolving conflicts among studies. This book is written with the intent to allow a wide range of readers including students, researchers, and health care professionals, including physicians, nurses, pharmacists, and paramedical, and is also helpful for a beginner who would like to do a meta-analysis.

ISBN: 9789819923700$q(electronic bk.)

Standard No.: 10.1007/978-981-99-2370-0doiSubjects--Topical Terms:

459505
Clinical medicine
--Research

LC Class. No.: R852

Dewey Class. No.: 610.721

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505 0 $a Chapter 1_Introduction -- Chapter2_Systematic literature review (SLR) -- Chapter 3_Registration and software's -- Chapter 4_Quality Assessment of Studies -- Chapter 5_Extraction and Analysis of data -- Chapter 6_Models in Meta-analysis -- Chapter 7_Heterogeneity and Publications bias -- Chapter 8_Sensitivity and subgroup analysis -- Chapter 9_Meta-regression -- Chapter 10_Plots in Meta-analysis -- Chapter 11_Network Meta-analysis -- Chapter 12_Common mistakes -- Chapter 13_Challenges -- Chapter 14_Future Perspectives -- Chapter 15_Future perspectives.
520 $a This book provides conceptual information on the various processes involved in meta-analysis. It examines the importance of meta-analysis for the analyses of clinical data to draw a valid conclusion using suitable software. The initial sections of the book introduce meta-analysis, how to perform a systematic literature review (SLR), quality assessment of studies, extraction, and analysis of data. The subsequent section of the book contains information on advanced topics including, meta-regression, network meta-analysis, issues, mistakes, and future perspectives. In summary, the book provides a statistical method for combining the results of different studies on the same topic and resolving conflicts among studies. This book is written with the intent to allow a wide range of readers including students, researchers, and health care professionals, including physicians, nurses, pharmacists, and paramedical, and is also helpful for a beginner who would like to do a meta-analysis.
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