Asset Details
Do you wish to reserve the book?
Randomized response surface pathway design with odd response outcomes in a Latin Square designed study
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Randomized response surface pathway design with odd response outcomes in a Latin Square designed study
Do you wish to request the book?
Randomized response surface pathway design with odd response outcomes in a Latin Square designed study
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Randomized response surface pathway design with odd response outcomes in a Latin Square designed study
2017
Overview
Background: Response surface pathway (RSP) design has been recently developed and described for dose-finding studies. The aim of this paper was to introduce and demonstrate additional procedures to strengthen and generalize the design and combine RSP with classical study design. Materials and methods: Nine bull calves and six heifer calves were included in an unbalanced 2 X 2 Latin Square (LSQ) designed study with large and small aperture bottle teats. The two LSQ sequences were performed with independent randomized three-level between-patient RSP design with an odd number of response classifications. The milk temperature window was 8[degrees]C-38[degrees]C with a mid temperature of 23[degrees]C. X-rays of the abdominal cavity were taken before, during, and immediately after intake of milk and recorded as \"milk\", \"trace\", or \"no milk\". Based on the results of the first design level, the milk temperatures for five calves in the second design level were obtained by a randomization procedure. A similar procedure was performed for seven calves in the third design level. Adjustment of the dose from one design level to the next was based on a k-adjustment factor estimated to ensure coverage of the entire predefined dose window. Results: Starting with a low number of subjects and increasing this number with increasing design levels reduces the sample size without reducing the power. The suggested randomization procedure worked as expected. No milk in Rumen was recorded and minimum milk temperature (MMT) was estimated to be <8[degrees]C for both teats. The odd number of response categories increases the flexibility of RSP, enabling category redefinition in hindsight from \"trace\" to \"uncertain\". After category redefinition, MMT for large bottle teat was estimated to be 14.3[degrees]C (95% confidence interval: 8.3-20.3[degrees]C), but 8[degrees]C for small. Conclusion: The suggested changes and additional procedures increase the strength and flexibility of the RSP design. Keywords: k-adjustment factor, Latin Square design, patient reduction in clinical trials, randomized response surface pathway design
Publisher
Dove Medical Press Limited,Taylor & Francis Ltd,Dove Press,Dove Medical Press
