9780470028643 - Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence: 757 (Wiley Series in Probability and Statistics) de Kulinskaya, Elena (20 resultados)

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Paperback. Condición: New. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

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Condición: New. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory. Series: Wiley Series in Probability and Statistics. Num Pages: 282 pages, black & white tables, figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 228 x 153 x 17. Weight in Grams: 432. . 2008. 1st Edition. Paperback. . . . .

Condición: NEW.

Condición: New. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory. Series: Wiley Series in Probability and Statistics. Num Pages: 282 pages, black & white tables, figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 228 x 153 x 17. Weight in Grams: 432. . 2008. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

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Paperback. Condición: Brand New. 1st edition. 260 pages. 9.00x6.00x0.75 inches. In Stock.

Paperback. Condición: New. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

Taschenbuch. Condición: Neu. Neuware - Studies based on small sample sizes often suffer from low power in detecting effects of interest, but this can be overcome by a meta analysis: the combination and analysis of results from a number of studies. This procedure allows for a more accurate estimation of effects, while taking into account differences between study conditions.In Meta Analysis the results from different studies are transformed to a common calibration scale, where it is simpler to combine and interpret them. This unique approach, developed by the authors, is applicable to many study designs and conditions, and also leads to a deeper understanding of statistical evidence. The book is presented in two parts: Part 1 illustrates the methods required to combine and interpret statistical evidence, while Part 2 provides the motivation, theory and simulation experiments which justify the methods.The book:\* Provides a user-friendly guide for readers wishing to combine evidence from different statistical experiments.\* Examines methods of continuous and discrete measurement, and regression, before presenting alternative methods for combining evidence.\* Contains many worked examples throughout.\* Is supported by a website containing examples with software instructions for the R environment.Meta Analysis is ideally suited for statistical consultants and researchers in the fields of medicine, the social sciences and forensic statistics. Medical professionals undertaking basic training in statistics will also find this guide invaluable, as will practitioners of statistics interested in evidentiary statistics and related topics.

Taschenbuch. Condición: Neu. Meta Analysis | A Guide to Calibrating and Combining Statistical Evidence | Elena Kulinskaya (u. a.) | Taschenbuch | Wiley Series in Probability and Statistics | [.] I The Methods.1 What can the reader expect from this book?2 Independent measurements with known precision.3 Independent measurements with unknown precision.4 Comparing treatment to control.5 Comparing K treatments.6 Evaluating risks.7 Compar | Englisch | 2008 | John Wiley & Sons | EAN 9780470028643 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

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Paperback. Condición: Brand New. 1st edition. 260 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.

Paperback. Condición: new. Paperback. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors thesis that evidence in a test statistic can often be calibrated when transformed to the right scale. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.