LEADER 05525nam 2200673Ia 450 001 9910131022703321 005 20230725053035.0 010 $a1-283-40536-9 010 $a9786613405364 010 $a1-119-99160-9 010 $a1-119-99161-7 035 $a(CKB)3460000000003514 035 $a(EBL)699325 035 $a(OCoLC)794326216 035 $a(SSID)ssj0000534482 035 $a(PQKBManifestationID)11329783 035 $a(PQKBTitleCode)TC0000534482 035 $a(PQKBWorkID)10518355 035 $a(PQKB)10052350 035 $a(MiAaPQ)EBC699325 035 $a(MiAaPQ)EBC4041506 035 $a(Au-PeEL)EBL699325 035 $a(CaPaEBR)ebr10510396 035 $a(CaONFJC)MIL340536 035 $a(EXLCZ)993460000000003514 100 $a20101202d2011 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBinary data analysis of randomized clinical trials with noncompliance$b[electronic resource] /$fKung-Jong Lui 210 $aChichester, West Sussex, United Kingdom $cJohn Wiley & Sons Inc.$d2011 215 $a1 online resource (332 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 $a0-470-66095-3 320 $aIncludes bibliographical references and index. 327 $aBinary Data Analysis of Randomized Clinical Trials with Noncompliance; Contents; Preface; About the Author; 1 Randomized clinical trials with noncompliance: issues, definitions and problems of commonly used analyses; 1.1 Randomized encouragement design (RED); 1.2 Randomized consent designs; 1.2.1 Single-consent randomized design (SCRD); 1.2.2 Double-consent randomized design (DCRD); 1.3 Treatment efficacy versus programmatic effectiveness; 1.4 Definitions of commonly used terms and assumptions; 1.5 Most commonly used analyses for a RCT with noncompliance; Exercises 327 $a2 Randomized clinical trials with noncompliance under parallel groups design 2.1 Testing superiority; 2.2 Testing noninferiority; 2.2.1 Using the difference in proportions; 2.2.2 Using the ratio of proportions; 2.2.3 Using the odds ratio of proportions; 2.3 Testing equivalence; 2.3.1 Using the difference in proportions; 2.3.2 Using the ratio of proportions; 2.3.3 Using the odds ratio of proportions; 2.4 Interval estimation; 2.4.1 Estimation of the proportion difference; 2.4.2 Estimation of the proportion ratio; 2.4.3 Estimation of the odds ratio; 2.5 Sample size determination 327 $a2.5.1 Sample size calculation for testing superiority 2.5.2 Sample size calculation for testing noninferiority; 2.5.3 Sample size calculation for testing equivalence; 2.6 Risk model-based approach; 2.6.1 Constant risk additive model; 2.6.2 Constant risk multiplicative model; 2.6.3 Generalized risk additive model; 2.6.4 Generalized risk multiplicative model; Exercises; Appendix; 3 Randomized clinical trials with noncompliance in stratified sampling; 3.1 Testing superiority; 3.2 Testing noninferiority; 3.2.1 Using the difference in proportions; 3.2.2 Using the ratio of proportions 327 $a3.2.3 Using the odds ratio of proportions 3.3 Testing equivalence; 3.3.1 Using the difference in proportions; 3.3.2 Using the ratio of proportions; 3.3.3 Using the odds ratio of proportions; 3.4 Interval estimation; 3.4.1 Estimation of the proportion difference; 3.4.2 Estimation of the proportion ratio; 3.4.3 Estimation of the odds ratio; 3.5 Test homogeneity of index in large strata; 3.5.1 Testing homogeneity of the proportion difference; 3.5.2 Testing homogeneity of the proportion ratio; 3.5.3 Test homogeneity of the odds ratio; Exercises; Appendix 327 $a4 Randomized clinical trials with noncompliance under cluster sampling 4.1 Testing superiority; 4.2 Testing noninferiority; 4.2.1 Using the difference in proportions; 4.2.2 Using the ratio of proportions; 4.2.3 Using the odds ratio of proportions; 4.3 Testing equivalence; 4.3.1 Using the difference in proportions; 4.3.2 Using the ratio of proportions; 4.3.3 Using the odds ratio of proportions; 4.4 Interval estimation; 4.4.1 Estimation of the proportion difference; 4.4.2 Estimation of the proportion ratio; 4.4.3 Estimation of the odds ratio; 4.5 Sample size determination 327 $a4.5.1 Sample size calculation for testing superiority 330 $aIt is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy. This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling, 410 0$aStatistics in practice. 606 $aClinical trials$xStatistical methods 606 $aDrugs$xTesting$xStatistical methods 615 0$aClinical trials$xStatistical methods. 615 0$aDrugs$xTesting$xStatistical methods. 676 $a615.5072/4 700 $aLui$b Kung-Jong$0886025 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910131022703321 996 $aBinary data analysis of randomized clinical trials with noncompliance$92133212 997 $aUNINA