Day 2 Agenda (must have attended Day 1):
- Variance stabilization
- x-y scatterplots
- Transforming curved x-y relationships to straight line relationships
- Use of half-slopes to explore x-y relationships
- Examples of transformations in everyday life
Objectives
- Explain the nature of EDA and how it relates to classical statistical inference
- Appreciate the role of graphical methods in data analysis
- Draw a stem-and-leaf diagram and explain its components
- Draw a boxplot and explain its components
- Appreciate the role of symmetry in working with probability distributions
- Describe methods for diagnosing asymmetry
- Describe methods for re-expressing or transforming data to achieve symmetry
- Describe methods and reasons for transforming data to achieve variance stabilization
- Describe methods and reasons for transforming data to straighten x-y plots
Speaker
The Public Research Education Program (PREP) is a series of courses developed by various research support offices in conjunction with other health system offices. The courses offer CME credits and are designed to increase quality of research throughout the health system and streamline the process of conducting research.
PREP courses also aim to enhance and expand investigator capacity to conduct research. PREP courses are free and open to all North Shore-LIJ employees, students, and volunteers. In addition, interested research collaborators and community partners are welcome to attend.
Light refreshments will be served at the courses held at the Goldman B Conference Room.
Don’t forget to check out select videos of PREP courses online.
The post PREP #13: Introduction to Exploratory Data Analysis and Data Transformation (Part 2) appeared first on The Feinstein Institute for Medical Research.