Statistics Collaborative - Design and analysis for biomedical research


Special presentations

At Statistics Collaborative, Inc. (SCI), we have developed innovative graphs to display data. Members of Data Monitoring Committees (DMCs) and other recipients of SCI's reports have commended us on our ability to depict safety and efficacy data in a concise, unbiased way that shows a complete profile of the variables of interest.

  • Traffic light plots Traffic light plots: SCI's statisticians have created images that depict changes over time in a variable for studying visual acuity (VA). By sorting subjects within each treatment group according to the largest change in VA, DMCs can more easily observe whether a study arm shows a notably higher number of subjects with increases or decreases in their VA scores. These plots have become standard presentations within SCI's reports for trials assessing VA. We have also used them in a wide variety of other settings, including for depicting changes in frequency of alcohol use over time and showing changes in severity of various other diseases. View traffic light plots.
  • Kaplan-Meier plots Kaplan-Meier plots: Kaplan-Meier (K-M) plots are an essential part of survival analysis, as they graphically present the probability of having an event or remaining event-free during a timeframe of interest. SCI has developed validated, in-house SAS code that allows our programmers to prepare K-M plots accurately and efficiently – both as survival and failure curves – with the appropriate statistical test results and corresponding p-value. View Kaplan-Meier plots chart.
  • Patient profile plots Patient profile plots: SCI has developed various methods of plotting adverse events or other events of interest (e.g., surgery) to show their temporal relationship with receiving study drug or some other intervention. This helps reviewers to determine whether one study arm appears to have a higher incidence of adverse events than another. View Patient profile plots chart.