| LDR | | 02608nam u200457 4500 |
| 001 | | 000000419611 |
| 005 | | 20190215163820 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438191600 |
| 035 | |
▼a (MiAaPQ)AAI10907758 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 574 |
| 100 | 1 |
▼a DeVeaux, Michelle Lynn. |
| 245 | 10 |
▼a Innovative Statistical Methods for Early Phase Clinical Trials. |
| 260 | |
▼a [S.l.]:
▼b Yale University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 129 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 500 | |
▼a Adviser: Daniel Zelterman. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Yale University, 2018. |
| 520 | |
▼a Early phase clinical trials provide some of the first indications of the efficacy of the experimental therapy at treating a disease. Often, the endpoint chosen to evaluate the treatment efficacy requires a lengthy follow-up time on each patient, |
| 520 | |
▼a We propose a two-stage design for a single-arm clinical trial with an early stopping rule for futility. Unlike Simon's design, our proposed design employs different criteria to assess early stopping and efficacy. The early stopping rule is based |
| 520 | |
▼a Curtailed sampling rules are introduced into this clinical trial design to allow the study to end as soon as a predefined statistical endpoint is reached. This helps to reduce the required number of patient enrollees and the expected duration of |
| 520 | |
▼a We also have developed an R package which provides tools to assist in the planning of this two-stage nested clinical trial design as well as the single-stage design with curtailed sampling. Visualization tools are provided to aid in selecting a |
| 520 | |
▼a The proposed two-stage nested design has the potential to substantially reduce the duration of these types of clinical trials, which is a significant factor in lowering clinical trial costs. Additionally, alleviating the length of the problemati |
| 590 | |
▼a School code: 0265. |
| 650 | 4 |
▼a Biostatistics. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Oncology. |
| 690 | |
▼a 0308 |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0992 |
| 710 | 20 |
▼a Yale University. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0265 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000809
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |