• This app is used to predict the risk of getting esophageal cancer.
  
• The linear regression prediction model is generated using the data from a case-control study of esophageal cancer in Ille-et-Vilaine, France.

• The “assignment” shiny application can be found in https://thefw21.shinyapps.io/Assignment/.
• the “ui.R” and “server.R” codes can be found in https://github.com/ccm111222/Course-Project-Shiny-Application-and-Reproducible-Pitch. https://thefw21.shinyapps.io/Assignment/.

head(esoph)

##   agegp     alcgp    tobgp ncases ncontrols
## 1 25-34 0-39g/day 0-9g/day      0        40
## 2 25-34 0-39g/day    10-19      0        10
## 3 25-34 0-39g/day    20-29      0         6
## 4 25-34 0-39g/day      30+      0         5
## 5 25-34     40-79 0-9g/day      0        27
## 6 25-34     40-79    10-19      0         7

1. The “assignment” shiny application needs 3 inputs: age, the average daily alcohol consumption (gram), and the average daily tobacco consumption (gram). You can enter these information from the left panel of the app.
2. A multivariate linear regression will be run using the French esophageal cancer data, and a predicted risk of esophageal cancer (in proportion) will displayed, as well as the 95% confidence interval (CI).
3. The original French esophageal cancer data (small dots), as well as the data point that you just entered (a big dot), will appear as a 3D scatter plot at the bottom right. The predicted risk of getting esophageal cancer is illustrated using the color of the dot.