TS2017 Conference Pages Banner.jpg
Home Registration Hotel Schedule Education Program

Key Considerations in Design and Analysis of 'OMICS Based Studies

Track: Regulatory Science and Translational Methods

Session Number: 1019
Date: Fri, Apr 21st, 2017
Time: 8:00 AM - 9:00 AM

Description:

This session will address many of the practical issues associated with the successful design and implementation of an 'OMICS based study. After attending the session, participants will be able to:
- Identify the appropriate types of personnel (e.g., Biostatistician, Bioinformaticist, Computer Scientist, "Data Analyst") to recruit to their investigative team and how to best coordinate their roles.
- Identify considerations pertaining to experimental design which will improve the power, relevance, and reproducibility of their proposed studies.
- Recognize data analytic challenges that are frequently encountered in 'OMICS based studies and understand some of the prospective (i.e., design stage) and retrospective (e.g., "normalization" ) methods for correction.
Session Type: Lecture

Discipline: None
Session Description: This session will address many of the practical issues associated with the successful design and implementation of an 'OMICS based study. After attending the session, participants will be able to:
- Identify the appropriate types of personnel (e.g., Biostatistician, Bioinformaticist, Computer Scientist, "Data Analyst") to recruit to their investigative team and how to best coordinate their roles.
- Identify considerations pertaining to experimental design which will improve the power, relevance, and reproducibility of their proposed studies.
- Recognize data analytic challenges that are frequently encountered in 'OMICS based studies and understand some of the prospective (i.e., design stage) and retrospective (e.g., "normalization" ) methods for correction.
Session Type: Lecture

Discipline: None
Session Description: This session will address many of the practical issues associated with the successful design and implementation of an 'OMICS based study. After attending the session, participants will be able to:
- Identify the appropriate types of personnel (e.g., Biostatistician, Bioinformaticist, Computer Scientist, "Data Analyst") to recruit to their investigative team and how to best coordinate their roles.
- Identify considerations pertaining to experimental design which will improve the power, relevance, and reproducibility of their proposed studies.
- Recognize data analytic challenges that are frequently encountered in 'OMICS based studies and understand some of the prospective (i.e., design stage) and retrospective (e.g., "normalization" ) methods for correction.

Speakers

Speaker 1
Heidi Spratt, PhD
Associate Professor
University Of Texas Medical Branch At Galveston
Speaker 2
Daniel Patrick Gaile, PhD
Assistant Professor of Biostatistics
University At Buffalo, State University Of New York