[PDF.84sq] Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health)
Download PDF | ePub | DOC | audiobook | ebooks
Home -> Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) Download
Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health)
Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes
[PDF.ur82] Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health)
Statistical Monitoring of Clinical Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes epub Statistical Monitoring of Clinical Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes pdf download Statistical Monitoring of Clinical Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes pdf file Statistical Monitoring of Clinical Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes audiobook Statistical Monitoring of Clinical Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes book review Statistical Monitoring of Clinical Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes summary
| #1930966 in Books | 2007-11-26 | Original language:English | PDF # 1 | 9.21 x.69 x6.14l,1.14 | File type: PDF | 268 pages||0 of 0 people found the following review helpful.| Provides good mathematical background on monitoring clinical trials|By W. YIP|It is a more advance mathematical treatment on group sequential methods. Besides the basic, the book covers some topics that are still in development (e.g. What is the p-value when the trial is stopped early ?) while some are not covered (e.g. repeated confidence interval). I find the book difficult|||From the reviews: |"The book covers most of the important topics in statistical monitoring of clinical trials, including monitoring boundary, conditional power, inference following a group-sequential trial, and adaptive sample size....[and] is valuable for an
The approach taken in this book is, to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically normal, this book shows that the joint distribution of the test statistics at different analysis times is asymptotically multivariate normal with the correlation structure of Brownian motion ("the ...
You can specify the type of files you want, for your device.Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) | Michael A. Proschan, K. K. Gordon Lan, Janet Turk Wittes.Not only was the story interesting, engaging and relatable, it also teaches lessons.
