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Practical Tools for Designing and Weighting Survey Samples / Richard Valliant, Jill A. Dever, Frauke Kreuter
| Practical Tools for Designing and Weighting Survey Samples / Richard Valliant, Jill A. Dever, Frauke Kreuter |
| Autore | Valliant, Richard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xxvi, 776 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Dever, Jill A.
Kreuter, Frauke |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Address-based sampling
Area probability sampling Balanced repeated replication Bootstrap Calibration estimation General regression estimation Jackknife variance estimation Machine learning Mathematical programming Multiphase designs Multistage sampling Non-probability samples Nonresponse adjustment Poststratification Power calculations Process control Raking Sample size calculation Survey weights |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124939 |
Valliant, Richard
|
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Practical Tools for Designing and Weighting Survey Samples / Richard Valliant, Jill A. Dever, Frauke Kreuter
| Practical Tools for Designing and Weighting Survey Samples / Richard Valliant, Jill A. Dever, Frauke Kreuter |
| Autore | Valliant, Richard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xxvi, 776 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Dever, Jill A.
Kreuter, Frauke |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Dxx - Statistical sampling theory and related topics [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Address-Based Sampling
Area Probability Sampling Balanced Repeated Replication Bootstrap Calibration estimation General regression estimation Jackknife variance estimation Machine Learning Mathematical programming Multiphase designs Multistage sampling Non-probability samples Nonresponse adjustment Poststratification Power calculations Process control Raking Sample size calculation Survey weights |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124939 |
|
Valliant, Richard
|
||
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Sample size determination in clinical trials with multiple endpoints / Takashi Sozu ... [et al.]
| Sample size determination in clinical trials with multiple endpoints / Takashi Sozu ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | VI, 95 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] 62F07 - Statistical ranking and selection procedures [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Binary endpoints
Clinical tirals Multiple endpoints Power calculations Sample Size |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113706 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Sample size determination in clinical trials with multiple endpoints / Takashi Sozu ... [et al.]
| Sample size determination in clinical trials with multiple endpoints / Takashi Sozu ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | VI, 95 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62F07 - Statistical ranking and selection procedures [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] |
| Soggetto non controllato |
Binary Endpoints
Clinical Tirals Multiple endpoints Power calculations Sample Size |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113706 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||