Statistics with Confidence: Confidence Intervals and Statistical Guidelines - Softcover

Über die Autorin bzw. den Autor

Douglas Altman FMedSci was an English statistician best known for his work on improving the reliability and reporting of medical research and for highly cited papers on statistical methodology. David Machin is Professor of Media and Communication at örebro University, Sweden. He has published numerous books and journal papers mostly drawing on linguistic methods.

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Statistics with Confidence is a widely acclaimed classic introduction to confidence intervals. The second edition, with contributions from leading medical statisticians, has been thoroughly revised and expanded.

New chapters include:

• diagnostic studies.
• clinical trials and meta analyses.
• confidence intervals and sample sizes.

The Windows computer software (CIA) in the accompanying disk enables confidence intervals to be calculated using the methods described in the book. This comprehensive collection of methods includes some that are not readily available elsewhere.

Featuring methods for using confidence intervals, illustrative worked examples and helpful checklists this is a truly practical guide for clinical readers to a fundamental aspect of medical statistics.

Aus dem Klappentext

Statistics with Confidence is a widely acclaimed classic introduction to confidence intervals. The second edition, with contributions from leading medical statisticians, has been thoroughly revised and expanded.

New chapters include:

• diagnostic studies.
• clinical trials and meta analyses.
• confidence intervals and sample sizes.

The Windows computer software (CIA) in the accompanying disk enables confidence intervals to be calculated using the methods described in the book. This comprehensive collection of methods includes some that are not readily available elsewhere.

Featuring methods for using confidence intervals, illustrative worked examples and helpful checklists this is a truly practical guide for clinical readers to a fundamental aspect of medical statistics.