東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Sample size determination in clinica...

Sozu, Takashi.

Linked to FindBook

Google Book

Amazon

博客來

Sample size determination in clinical trials with multiple endpoints

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sample size determination in clinical trials with multiple endpoints/ by Takashi Sozu ... [et al.].
other author:	Sozu, Takashi.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	vi, 95 p. :ill., digital ;24 cm.
[NT 15003449]:	1.Introduction -- 2.Continuous Co-primary Endpoints -- 3.Binary Co-primary Endpoints -- 4.Convenient Sample Size Formula -- 5.Continuous Primary Endpoints -- 6. Further Developments -- A.Sample Size Calculation Using other Contrasts for Binary Endpoints -- B.Empirical Power for Sample Size Calculation for Binary Co-primary Endpoints -- C.Numerical Tables for Ck in the Convenient Sample Size Formula for the Three Co-primary Continuous Endpoints Cace -- D.Software Programs for Sample Size Calculation for Continuous Co-primary Endpoints -- References.
Contained By:	Springer eBooks
Subject:	Clinical trials - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-22005-5
ISBN:	9783319220055

Sample size determination in clinical trials with multiple endpoints
Sample size determination in clinical trials with multiple endpoints[electronic resource] /by Takashi Sozu ... [et al.]. - Cham :Springer International Publishing :2015. - vi, 95 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

1.Introduction -- 2.Continuous Co-primary Endpoints -- 3.Binary Co-primary Endpoints -- 4.Convenient Sample Size Formula -- 5.Continuous Primary Endpoints -- 6. Further Developments -- A.Sample Size Calculation Using other Contrasts for Binary Endpoints -- B.Empirical Power for Sample Size Calculation for Binary Co-primary Endpoints -- C.Numerical Tables for Ck in the Convenient Sample Size Formula for the Three Co-primary Continuous Endpoints Cace -- D.Software Programs for Sample Size Calculation for Continuous Co-primary Endpoints -- References.

This book integrates recent methodological developments for calculating the sample size and power in trials with more than one endpoint considered as multiple primary or co-primary, offering an important reference work for statisticians working in this area. The determination of sample size and the evaluation of power are fundamental and critical elements in the design of clinical trials. If the sample size is too small, important effects may go unnoticed; if the sample size is too large, it represents a waste of resources and unethically puts more participants at risk than necessary. Recently many clinical trials have been designed with more than one endpoint considered as multiple primary or co-primary, creating a need for new approaches to the design and analysis of these clinical trials. The book focuses on the evaluation of power and sample size determination when comparing the effects of two interventions in superiority clinical trials with multiple endpoints. Methods for sample size calculation in clinical trials where the alternative hypothesis is that there are effects on ALL endpoints are discussed in detail. The book also brieﬂy examines trials designed with an alternative hypothesis of an effect on AT LEAST ONE endpoint with a prespeciﬁed non-ordering of endpoints.

ISBN: 9783319220055

Standard No.: 10.1007/978-3-319-22005-5doiSubjects--Topical Terms:

716537
Clinical trials
--Statistical methods.

LC Class. No.: R853.C55

Dewey Class. No.: 615.50724

Sample size determination in clinical trials with multiple endpoints
LDR:02874nmm a2200325 a 4500 001 2011100
003 DE-He213
005 20160309165941.0
006 m d
007 cr nn 008maaau
008 160417s2015 gw s 0 eng d
020 $a 9783319220055 $q (electronic bk.)
020 $a 9783319220048 $q (paper)
024 7 $a 10.1007/978-3-319-22005-5 $2 doi
035 $a 978-3-319-22005-5
040 $a GP $c GP
041 0 $a eng
050 4 $a R853.C55
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 615.50724 $2 23
090 $a R853.C55 $b S192 2015
245 0 0 $a Sample size determination in clinical trials with multiple endpoints $h [electronic resource] / $c by Takashi Sozu ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a vi, 95 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-544X
505 0 $a 1.Introduction -- 2.Continuous Co-primary Endpoints -- 3.Binary Co-primary Endpoints -- 4.Convenient Sample Size Formula -- 5.Continuous Primary Endpoints -- 6. Further Developments -- A.Sample Size Calculation Using other Contrasts for Binary Endpoints -- B.Empirical Power for Sample Size Calculation for Binary Co-primary Endpoints -- C.Numerical Tables for Ck in the Convenient Sample Size Formula for the Three Co-primary Continuous Endpoints Cace -- D.Software Programs for Sample Size Calculation for Continuous Co-primary Endpoints -- References.
520 $a This book integrates recent methodological developments for calculating the sample size and power in trials with more than one endpoint considered as multiple primary or co-primary, offering an important reference work for statisticians working in this area. The determination of sample size and the evaluation of power are fundamental and critical elements in the design of clinical trials. If the sample size is too small, important effects may go unnoticed; if the sample size is too large, it represents a waste of resources and unethically puts more participants at risk than necessary. Recently many clinical trials have been designed with more than one endpoint considered as multiple primary or co-primary, creating a need for new approaches to the design and analysis of these clinical trials. The book focuses on the evaluation of power and sample size determination when comparing the effects of two interventions in superiority clinical trials with multiple endpoints. Methods for sample size calculation in clinical trials where the alternative hypothesis is that there are effects on ALL endpoints are discussed in detail. The book also brieﬂy examines trials designed with an alternative hypothesis of an effect on AT LEAST ONE endpoint with a prespeciﬁed non-ordering of endpoints.
650 0 $a Clinical trials $x Statistical methods. $3 716537
650 0 $a Mathematical statistics. $3 516858
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 891086
650 2 4 $a Biostatistics. $3 1002712
700 1 $a Sozu, Takashi. $3 2160325
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in statistics. $3 1565658
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22005-5
950 $a Mathematics and Statistics (Springer-11649)