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Binary data analysis of randomized clinical trials with noncompliance [[electronic resource] /] / Kung-Jong Lui
Binary data analysis of randomized clinical trials with noncompliance [[electronic resource] /] / Kung-Jong Lui
Autore Lui Kung-Jong
Pubbl/distr/stampa Chichester, West Sussex, United Kingdom, : John Wiley & Sons Inc., 2011
Descrizione fisica 1 online resource (332 p.)
Disciplina 615.5072/4
Collana Statistics in practice
Soggetto topico Clinical trials - Statistical methods
Drugs - Testing - Statistical methods
ISBN 1-283-40536-9
9786613405364
1-119-99160-9
1-119-99161-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Binary 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
2 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
2.5.1 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
3.2.3 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
4 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
4.5.1 Sample size calculation for testing superiority
Record Nr. UNINA-9910131022703321
Lui Kung-Jong  
Chichester, West Sussex, United Kingdom, : John Wiley & Sons Inc., 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Binary data analysis of randomized clinical trials with noncompliance / / Kung-Jong Lui
Binary data analysis of randomized clinical trials with noncompliance / / Kung-Jong Lui
Autore Lui Kung-Jong
Edizione [1st ed.]
Pubbl/distr/stampa Chichester, West Sussex, United Kingdom, : John Wiley & Sons Inc., 2011
Descrizione fisica 1 online resource (332 p.)
Disciplina 615.5072/4
Collana Statistics in practice
Soggetto topico Clinical trials - Statistical methods
Drugs - Testing - Statistical methods
ISBN 1-283-40536-9
9786613405364
1-119-99160-9
1-119-99161-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Binary 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
2 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
2.5.1 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
3.2.3 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
4 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
4.5.1 Sample size calculation for testing superiority
Record Nr. UNINA-9910813859003321
Lui Kung-Jong  
Chichester, West Sussex, United Kingdom, : John Wiley & Sons Inc., 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Crossover designs : testing, estimation, and sample size / / Kung-Jong Lui
Crossover designs : testing, estimation, and sample size / / Kung-Jong Lui
Autore Lui Kung-Jong
Pubbl/distr/stampa Chichester, England : , : Wiley, , 2016
Descrizione fisica 1 online resource (244 p.)
Disciplina 615.5072
Collana Statistics in practice
THEi Wiley ebooks
Soggetto topico Crossover trials
ISBN 1-119-11470-5
1-119-11469-1
1-119-11471-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Crossover design : definitions, notes and limitations -- AB/BA design in continuous data -- AB/BA design in dichotomous data -- AB/BA design in ordinal data -- AB/BA design in frequency data -- Three-treatment three-period crossover design in continuous data -- Three-treatment three-period crossover design in dichotomous data -- Three-treatment three-period crossover design in ordinal data -- Three-treatment three-period crossover design in frequency data -- Three-treatment (incomplete block) crossover design in continuous and dichotomous data.
Record Nr. UNINA-9910135021803321
Lui Kung-Jong  
Chichester, England : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Crossover designs : testing, estimation, and sample size / / Kung-Jong Lui
Crossover designs : testing, estimation, and sample size / / Kung-Jong Lui
Autore Lui Kung-Jong
Pubbl/distr/stampa Chichester, England : , : Wiley, , 2016
Descrizione fisica 1 online resource (244 p.)
Disciplina 615.5072
Collana Statistics in practice
THEi Wiley ebooks
Soggetto topico Crossover trials
ISBN 1-119-11470-5
1-119-11469-1
1-119-11471-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Crossover design : definitions, notes and limitations -- AB/BA design in continuous data -- AB/BA design in dichotomous data -- AB/BA design in ordinal data -- AB/BA design in frequency data -- Three-treatment three-period crossover design in continuous data -- Three-treatment three-period crossover design in dichotomous data -- Three-treatment three-period crossover design in ordinal data -- Three-treatment three-period crossover design in frequency data -- Three-treatment (incomplete block) crossover design in continuous and dichotomous data.
Record Nr. UNINA-9910820162303321
Lui Kung-Jong  
Chichester, England : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
Autore Lui Kung-Jong
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (213 p.)
Disciplina 614.4/2/0727
614.4015195
Collana Statistics in practice
Soggetto topico Epidemiology - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-280-26954-5
9786610269549
0-470-09407-9
0-470-09408-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data
4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling
5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling
7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling
8.2 A series of independent binomial sampling procedures
Record Nr. UNINA-9910143227203321
Lui Kung-Jong  
Chichester ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
Statistical estimation of epidemiological risk [[electronic resource] /] / Kung-Jong Lui
Autore Lui Kung-Jong
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (213 p.)
Disciplina 614.4/2/0727
614.4015195
Collana Statistics in practice
Soggetto topico Epidemiology - Statistical methods
ISBN 1-280-26954-5
9786610269549
0-470-09407-9
0-470-09408-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data
4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling
5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling
7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling
8.2 A series of independent binomial sampling procedures
Record Nr. UNINA-9910830449303321
Lui Kung-Jong  
Chichester ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical estimation of epidemiological risk / / Kung-Jong Lui
Statistical estimation of epidemiological risk / / Kung-Jong Lui
Autore Lui Kung-Jong
Pubbl/distr/stampa Chichester ; ; Hoboken, NJ, : Wiley, c2004
Descrizione fisica 1 online resource (213 p.)
Disciplina 614.4/2/0727
Collana Statistics in practice
Soggetto topico Epidemiology - Statistical methods
ISBN 1-280-26954-5
9786610269549
0-470-09407-9
0-470-09408-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data
4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling
5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling
7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling
8.2 A series of independent binomial sampling procedures
Record Nr. UNINA-9910877055803321
Lui Kung-Jong  
Chichester ; ; Hoboken, NJ, : Wiley, c2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui