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Record Nr. |
UNINA9910739468403321 |
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Autore |
Kumar Anoop |
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Titolo |
Meta-analysis in Clinical Research: Principles and Procedures / / by Anoop Kumar |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (129 pages) |
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Disciplina |
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Soggetti |
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Pharmacology |
Medical sciences |
Drug development |
Biologicals |
Biopharmaceutics |
Preclinical Research |
Biologics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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, |
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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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