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Biostatistics decoded

Oliveira, A. Gouveia de.

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Biostatistics decoded

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Biostatistics decoded/ A. Gouveia Oliveira.
作者:	Oliveira, A. Gouveia de.
出版者:	Chichester, West Sussex :Wiley, : 2013.,
面頁冊數:	1 online resource (x, 335 p.)
附註:	Description based upon print version of record.
標題:	Biometry. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118670767
ISBN:	9781118670767 (electronic bk.)

Biostatistics decoded
Oliveira, A. Gouveia de.

Biostatistics decoded[electronic resource] /A. Gouveia Oliveira. - Chichester, West Sussex :Wiley,2013. - 1 online resource (x, 335 p.)

Description based upon print version of record.

Includes bibliographical references ([325]-326 p.) and index.

Study design and statistical methodology are two important concerns for the clinical researcher. This book sets out to address both issues in a clear and concise manner. The presentation of statistical theory starts from basic concepts, such as the properties of means and variances, the properties of the Normal distribution and the Central Limit Theorem and leads to more advanced topics such as maximum likelihood estimation, inverse variance and stepwise regression as well as, time-to-event, and event-count methods. Furthermore, this book explores sampling methods, study design and statistics.

ISBN: 9781118670767 (electronic bk.)

LCCN: 2013013976Subjects--Topical Terms:

531975
Biometry.

LC Class. No.: QH323.5

Dewey Class. No.: 610.72

Biostatistics decoded
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500 $a Description based upon print version of record.
504 $a Includes bibliographical references ([325]-326 p.) and index.
520 $a Study design and statistical methodology are two important concerns for the clinical researcher. This book sets out to address both issues in a clear and concise manner. The presentation of statistical theory starts from basic concepts, such as the properties of means and variances, the properties of the Normal distribution and the Central Limit Theorem and leads to more advanced topics such as maximum likelihood estimation, inverse variance and stepwise regression as well as, time-to-event, and event-count methods. Furthermore, this book explores sampling methods, study design and statistics.
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