Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Ram C. Tiwari"'
Autor:
Chenguang Wang, Lilly Q. Yue, Heng Li, Ram C. Tiwari, Changhong Song, Wei-Chen Chen, Nelson Lu, Yunling Xu
Publikováno v:
Journal of Biopharmaceutical Statistics. 32:158-169
In this paper, a propensity score-integrated power prior approach is developed to augment the control arm of a two-arm randomized controlled trial (RCT) with subjects from multiple external data sources such as real-world data (RWD) and historical cl
Autor:
Ram C. Tiwari, Binbing Yu
Publikováno v:
Journal of Data Science. 5:41-51
Publikováno v:
Journal of Data Science. 8:339-348
The likelihood of developing cancer during one’s lifetime is approximately one in two for men and one in three for women in the United States. Cancer is the second-leading cause of death and accounts for one in every four deaths. Evidence-based pol
Publikováno v:
Journal of Data Science. 8:471-482
Providing reliable estimates of the ratios of cancer incidence and mortality rates across geographic regions has been important for the National cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) Program as it profiles cancer r
In this paper, we develop a methodology for leveraging real-world data into single-arm clinical trial studies. In recent years, the idea of augmenting randomized clinical trials data with real-world data has emerged as a particularly attractive techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5262a90c6cf17e7aaee0af992c1a6f5c
Publikováno v:
Therapeutic Innovation & Regulatory Science. 55:56-64
With more and more medical device databases being developed, there is an increasing interest in learning the geographical patterns of medical-device-related adverse events (AEs). For a specific medical device and an adverse event (AE) of interest, ou
Publikováno v:
Journal of biopharmaceutical statistics. 31(4)
Benefit-risk assessment plays an important role in the evaluation of medical devices. Unlike the therapeutic devices, the diagnostic tests usually affect patient life indirectly since subsequent therapeutic treatment interventions (such as proper tre
Publikováno v:
Signal Detection for Medical Scientists ISBN: 9780429259753
Signal Detection for Medical Scientists
Signal Detection for Medical Scientists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df9b6464525fa46033c0dd40bd15c08
https://doi.org/10.1201/9780429259753-8
https://doi.org/10.1201/9780429259753-8
Publikováno v:
Signal Detection for Medical Scientists ISBN: 9780429259753
Signal Detection for Medical Scientists
Signal Detection for Medical Scientists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2baefdab78855408fc8e8449f95718eb
https://doi.org/10.1201/9780429259753-3
https://doi.org/10.1201/9780429259753-3
Publikováno v:
Signal Detection for Medical Scientists ISBN: 9780429259753
Signal Detection for Medical Scientists
Signal Detection for Medical Scientists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd606173cbd57c0ac0fdcb3e39bfc67d
https://doi.org/10.1201/9780429259753-12
https://doi.org/10.1201/9780429259753-12