Articles liés à Statistical Methods for Meta-Analysis
Synopsis
Book by Hedges Larry V Olkin Ingram
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.
Revue de presse
"This book brings a new level of statistical sophistication to the problem of comining quantitative measures from different studies. The book will be widely used and admired."
AMERICAN SCIENTIST
"Within its scope and for its intended audience, Statistical Methods for Meta-Analysis is... the best of several books on meta-analysis currently available. It belongs in the libraries of schools of education and of medicine, and in departments of economics, polictical science, psychology, sociology, and statistics. Anyone regularly engaged in meta-analysis will want to own it."
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurAcademic Press Inc
- Date d'édition1985
- ISBN 10 0123363802
- ISBN 13 9780123363800
- ReliureRelié
- Nombre de pages369
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Statistical Methods for Meta-Analysis
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Statistical Methods for Meta-Analysis
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Statistical Methods for Meta-Analysis
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Academic Press, 1985
ISBN 10 : 0123363802
ISBN 13 : 9780123363800
Ancien ou d'occasion
Couverture rigide
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
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Statistical Methods for Meta-Analysis
Edité par
Academic Press, 1985
ISBN 10 : 0123363802
ISBN 13 : 9780123363800
Ancien ou d'occasion
Couverture rigide
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
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Statistical Methods for Meta-Analysis
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ISBN 10 : 0123363802
ISBN 13 : 9780123363800
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Statistical Methods for Meta-Analysis
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ISBN 13 : 9780123363800
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Statistical Methods for Meta-Analysis
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Statistical Methods for Meta-Analysis
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Elsevier Science & Technology, 1985
ISBN 10 : 0123363802
ISBN 13 : 9780123363800
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Statistical Methods for Meta-Analysis
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Academic Press, 1985
ISBN 10 : 0123363802
ISBN 13 : 9780123363800
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Couverture rigide
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Statistical Methods for Meta-Analysis
Edité par
Academic Press, 1985
ISBN 10 : 0123363802
ISBN 13 : 9780123363800
Ancien ou d'occasion
Couverture rigide
Vendeur : 369 Bookstore _[~ 369 Pyramid Inc ~]_, Dover, DE, Etats-Unis
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Hardcover. Etat : Good. The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these.Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package. N° de réf. du vendeur AMPLE0123363802
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