LEADER 00948nam--2200361---450- 001 990005873410203316 005 20130718115420.0 010 $a0-460-04388-2 035 $a000587341 035 $aUSA01000587341 035 $a(ALEPH)000587341USA01 035 $a000587341 100 $a20130718d1980----km-y0itay50------ba 101 $aeng 102 $aGB 105 $a||||||||001yy 200 1 $aArchaic Greece$ethe age of experiment$fAnthony Snodgrass 210 $aLondon [etc.]$cDent and Sons$d1980 215 $a236 p.$cill.$d24 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 606 0 $aCiviltà greca$2BNCF 676 $a738 700 1$aSNODGRASS,$bAnthony$0185144 801 0$aIT$bsalbc$gISBD 912 $a990005873410203316 951 $aHPG 125$b1997 DSA/ISAA 959 $aBK 969 $aDSA 979 $aDSA$b90$c20130718$lUSA01$h1154 996 $aArchaic Greece$9175806 997 $aUNISA LEADER 01038nam0 22002651i 450 001 UON00323118 005 20231205104148.829 100 $a20090423d1975 |0itac50 ba 101 $arus 102 $aRU 105 $a|||| 1|||| 200 1 $aNa ostrovax Okeanii$fD. V. 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V.$3UONV184122$0699487 712 $aAkademija Nauk SSSR$3UONV247334$4650 801 $aIT$bSOL$c20241213$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00323118 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI SEA XIV 005 $eSI SA 11034 5 005 996 $aNa ostrovax Okeanii$91371928 997 $aUNIOR LEADER 04813nam 22005895 450 001 9910279754303321 005 20200629154621.0 010 $a3-319-73770-8 024 7 $a10.1007/978-3-319-73770-6 035 $a(CKB)4100000004243572 035 $a(DE-He213)978-3-319-73770-6 035 $a(MiAaPQ)EBC5400015 035 $a(PPN)227403142 035 $a(EXLCZ)994100000004243572 100 $a20180522d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPlanning and Analyzing Clinical Trials with Composite Endpoints /$fby Geraldine Rauch, Svenja Schüler, Meinhard Kieser 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVI, 255 p. 9 illus., 2 illus. in color.) 225 1 $aSpringer Series in Pharmaceutical Statistics,$x2366-8695 311 $a3-319-73769-4 327 $aPreface -- Contents -- Part I General Introduction to Composite Endpoints -- 1 Definition and Rationale -- 2 Challenges of Composite Endpoints -- 3 Guideline View - Recommendations and Requirements -- 4 Clinical Trial Examples -- Part II Confirmatory Test Problem for a Single (Composite) Endpoint -- 5 The Single-Stage Design -- 6 Group-Sequential and Adaptive Designs -- 7 Related Software Code -- Part III Confirmatory Multiple Test Problem -- 8 Correlation Between Test Statistics -- 9 The Single-Stage Design -- 10 Group-Sequential and Adaptive Designs -- 11 Related Software Code -- Part IV Confirmatory Test Problem for a Weighted Composite Endpoint -- 12 Weighted Binary Composite Endpoint -- Weighted Time-to-Event Composite Endpoint -- 14 OtherWeighted Effect Measures -- 15 Related Software Code -- Part V Descriptive and Confirmatory Evaluation of the Components -- 16 Descriptive Analysis of the Components -- 17 Supplementary Confirmatory Analyses of the Components -- 18 Related Software Code -- Part VI Illustrating Clinical Trial Examples -- 19 Clinical Trial Examples with Binary (Composite) Endpoints -- 20 Clinical Trial Examples with (Composite) Time-to-Event Endpoints. 330 $aThis book addresses the most important aspects of how to plan and evaluate clinical trials with a composite primary endpoint to guarantee a clinically meaningful and valid interpretation of the results. Composite endpoints are often used as primary efficacy variables for clinical trials, particularly in the fields of oncology and cardiology. These endpoints combine several variables of interest within a single composite measure, and as a result, all variables that are of major clinical relevance can be considered in the primary analysis without the need to adjust for multiplicity. Moreover, composite endpoints are intended to increase the size of the expected effects thus making clinical trials more powerful. The book offers practical advice for statisticians and medical experts involved in the planning and analysis of clinical trials. For readers who are mainly interested in the application of the methods, all the approaches are illustrated with real-world clinical trial examples, and the software codes required for fast and easy implementation are provided. The book also discusses all the methods in the context of relevant guidelines related to the topic. To benefit most from the book, readers should be familiar with the principles of clinical trials and basic statistical methods. 410 0$aSpringer Series in Pharmaceutical Statistics,$x2366-8695 606 $aStatistics 606 $aBiometry 606 $aPharmaceutical technology 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aPharmaceutical Sciences/Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/B21010 615 0$aStatistics. 615 0$aBiometry. 615 0$aPharmaceutical technology. 615 14$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aBiostatistics. 615 24$aPharmaceutical Sciences/Technology. 676 $a615.50724 700 $aRauch$b Geraldine$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767658 702 $aSchüler$b Svenja$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKieser$b Meinhard$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910279754303321 996 $aPlanning and Analyzing Clinical Trials with Composite Endpoints$92056062 997 $aUNINA