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Shiny Apps are web-based aplication frameworks for Statistic software R . Below are shiny apps developed by Bingshu Chen.
Biomarker is very useful in predicting a subject's response to a new intervention. Identification of such a biomarker is important in enhancing positive outcome and avoiding negative outcome. A threshold of the biomarker is often needed to define a sensitive subset for making easy clinical or health related decisions. Recently, a shiny app to explore the interaction between treatment-biomarker was developed by Bingshu Chen from the Department of Public Health Sciences, Queen's University. The app can analyze data uploaded by users and estimate the optimal threshold parameter using the profile likelihood method by Chen, Jiang and Tu (2014). Users can also specific their threshold parameter of interest and explore how the biomarker interacts with the intervention variable.
Sample size for randomize phase II pick the winner design based Richard Simon's method.
Sample size calculation for health ecominics in randomized clinical trials(INB and ICER). (References: See publication 1 and 3).
PGA: power calculator for case-control genetic association analysis. Referece: See publication number 13.
URL of this web page: http://statapps.tk
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This page was last updated on
Wed Apr 29 16:27:01 EST 2018