General Principles Subteam
Membership
The following members are affiliated with the General Principles subteam
- Susan Duke (Lead) - GSK
- Fabrice Bancken - Novartis AG
- Brenda Crowe - Eli Lilly
- Richard Forshee - CBER
- Larry Gould - Merck
- Frank Harrell - Vanderbilt University
- Qi Jiang - Amgen
- Mat Soukup - CDER
- Markus Yap - CDER
- Andreas Krause - Actelion
Minutes
You can find the minutes in reverse date order as well as file attachments of the individual documents:
General Principles Subteam Minutes
Flowchart Layout
Click to see Flow Chart Aug2010 with Hyperlink
Graphics Template
Graphic Template The following is the recommended information to be filled in while registering a graphic to the official public site library. While the following is meant to be a guideline, it may not be suitable for all graphics.
REQUIRED FIELDS
Image: An image file of the following types (JPEG, PNG, others?)
Title: A brief title to describe the graphic
Description: A few sentences of what is plotted
Background: Reason for the graphic (this could list the clinical question). This field could also describe the motivation for the graphic.
Author: Name and email contact of the author(s)
Date: Original: Date the graphic is entered/created Modified: Dates of when modifications are made
Use/Suitability: Is the graphic intended for exploration, publication, presentation, or other uses? [May need some work in the description here]
Software: What software was used to create the graphic (include any relevant version numbers).
Code: Link or text file (other?) to reproduce the graphic shown.
Keywords: listing of any keywords that can be used to identify the graphic (these may be hyperlinked). Some examples are: liver, labs, ECG, vitals, adverse events, MedDRA.
OPTIONAL FIELDS
References: Links or references
Data: Description of the data used to create the graphic
CATEGORIZATIONS
The following list of categorizations is a way to group graphics to allow for looking at graphics of similar constructs. The values within each are meant as guideline. Note that graphs may have multiple representations within each category.
1. Evaluation: What is the primary purpose of the graphic
- Efficacy: used to present efficacy information
- Safety: used to present safety information
- General: used to present general data (e.g. age distribution by treatment)
2. Graph Type:
- Bar charts
- Boxplot
- Density Plot
- Distribution Plots
- Dotplot
- Forest Plot
- Line Plot
- Modeling Plots
- Mosaic Plot
- Other: This category can be used for graphics that are not easily classified by those listed.
- Perspective Plot
- Pie Chart [Do we want to include?]
- Scatterplot
- Survival Plot
- Volcano Plot
3. Variable Relationship: the relationship of variables when more than one variable is plotted. Note that this should describe the relationship of the variables plotted on the x and y axes. [Do we want to include more than 2 variables (e.g. using Trellis type displays)?]
- Categorical versus categorical
- Categorical versus Continuous
- Continuous versus continuous
- Survival
- Summary
4. Data Type: The type of data to plotted
- Categorical
- Continuous
- Categorical and continuous
- Time to event
Put your comments in the box next to Add comment and then click on Add comment. In this way we can keep track of who made the comment.
-- MaryBanach - 28 Jun 2010
-- SusanDuke - 26 Jul 2010
suggest leaving Pie Chart in the list and use that area to describe the reasons NOT to use a pie chart (if that's feasible)?
-- SusanDuke - 26 Jul 2010
%COMMENT%
General Graphics Principles Reference Links
Websites
- American Statistical Association Section on Statistical Graphics Contains a wealth of information on Statistical Graphics, including a regular newsletter
- Edward Tufte Writings, Artwork, News Ed Tufte is a highly-regarded expert in the field of data visualisation. He shares his work on this website - Ask E.T. Ed Tufte's moderated forum
- Data Visualization and Statistical Graphics website by Michael Friendly, York University - Gallery of Data Visualisation displays some examples of the Best and Worst of Statistical Graphics
- Visualizing Categorical Data with the SAS System
- Color Brewer A great, easy to use website, which helps you to select good color choices for graphs
- Visibone Color Lab A handy website allowing you to easily get your hands on hexadecimal codes for 256 colours (which can be used with SAS/GRAPH etc.). If you browse the rest of the website you'll also find other useful tools.
- Focus on Your Data! Keep Graphics Clean and Simple North Carolina State University sponsored link which gives suggestions for creating graphics for posters