9:00 – 11:00 am

Sigma Plot: Introductory Course

SigmaPlot graphing software is a software which will ease you by plotting simple spreadsheets. It can help you show off your work clearly and precisely. With SigmaPlot, you can produce high-quality graphs without spending hours in front of a computer. From simple 2-D scatter plots to compelling contour plots, SigmaPlot gives you the exact technical graph type you need for your demanding research. And, to help you see interactions in your 3-D data, SigmaPlot powerfully renders multiple intersecting 3-D meshes with hidden line removal. With so many different chart and graph types to choose from, you can always find the best visual representation of your data.

11:15 – 1:15 PM

Webscraping and Data Visualization using R

Webscraping is a technique to extract certain information from websites to a structured format for analysis. This workshop gives a basic guide to get started on webscraping. We will use the acquired data to demonstrate visualization analysis in R.

Prerequisites: basic to intermediate level of R

Audience: open to anyone interested to scrape data from the web

2:15 – 4:15 PM

ROC Curve Analysis in Medical Research

In medical research, ROC (receiver operating characteristic) curve analysis is well established for assessing how well a marker (biomarker or any score from predictive model) is capable of discriminating between individuals who experience an event and who do not. The classical (standard) approach of ROC curve analysis assumes fixed event status and marker value for an individual over time.

However, in practice, these measurements may change over time as those event-free at the earlier time may experience the event later due to long study follow-up. Thus, an ROC curve as a function of time is more appropriate and relevant. Although many researchers still practice the standard approach in their research, recent application publications extensively use time-dependent ROC curve approach and increasing number of new proposed methodologies are observed.

In this workshop, the introduction of standard ROC curve analysis and when incorporate the time dimension will be discussed. This workshop also provides illustration using some related packages in R software with medical real data as application.