CQS Summer Institute 2014

2014 CQS Summer Institute

Dates:  Monday, August 4th – Friday, August 8th

Times: 9:00 AM - 12:00 PM  and 1:00 PM - 4:00 PM
*Please see exact course dates and times below

Location: Vanderbilt Alumni Hall, Room 201

CME Accredited

The Vanderbilt Center for Quantitative Sciences will be holding our first ever CQS Summer Institute from August 4th thru August 8th in the Vanderbilt Alumni Hall on campus.  The institute will offer two short introductory courses in biostatistics and bioinformatics.  Each course will host up to 50 participants and will provide 15 hours of lecture-based instruction and hands-on application to Vanderbilt Medical School faculty, staff and research fellows who are interested in learning more about applied biostatistics tools and next-generation sequencing.  The summer institute is sponsored by the Vanderbilt University School of Medicine in conjunction with the Vanderbilt Center for Quantitative Sciences and is provided free of charge to all of those who register in advance.

 

Course 1: Introduction to Biostatistics

Directors:      
Ayumi Shintani, Ph.D., M.P.H.
Endowed Professor and Chair
Department of Clinical Epidemiology and Biostatistics
Osaka University Graduate School of Medicine

Tatsuki Koyama, Ph.D. (co-director)
Associate Professor of Biostatistics
Vanderbilt University School of Medicine

Course 1 Description:
This course will provide medical researchers basic concept of biostatistics and computational skills using SPSS to conduct univariable analyses such as student t-test, non-parametric tests, chi-square tests, as well as regressions including linear and logistic regression models.  Introduction to survival analyses using Kaplan-Meire curves and Cox regression will also be covered. 

Recommended software includes SPSS version 18 (or more recent). 

Learning Objectives:
After participating in this CME activity, participants should be able to describe and discuss:

  • Identify study design appropriate for a research question.
  • Select statistical test for each study design.
  • Perform the selected statistical test.

 

Course 1 Schedule:
Monday, August 4   (Morning)
9:00 AM – 12:00 PM
Instructor: Ayumi Shintani, Ph.D., M.P.H.             

          -Entering data into statistical software
          -Sample size and power computation
          -How to select proper statistical tests
          -How to perform Student t-test, ANOVA, Mann-Whitney U test, and Kruskal Wallis test                                                                  

Monday, August 4  (Afternoon)
1:00 PM – 4:00 PM    
Instructor: Ayumi Shintani, Ph.D., M.P.H.         

           -Linear regression (Concept)
           -Linear regression (Software demonstration)

 

Tuesday, August 5  (Morning)
9:00 AM – 12:00 PM
Instructor: Ayumi Shintani, Ph.D., M.P.H.             

          -Concept of confounding and interaction
          -Multiple linear regression (Concept)
          -Multiple linear regression (Software demonstration)

 

Wednesday, August 6 (Morning)
9:00 AM – 12:00 PM 
Instructor: Ayumi Shintani, Ph.D., M.P.H.            

          -Logistic regression (Concept)
          -Logistic regression (Software demonstration)

 

Thursday, August 7  (Morning)
9:00 AM – 12:00 PM 
Instructor: Ayumi Shintani, Ph.D., M.P.H.             

          -Survival analysis (Concept)-How to draw Kaplan-Meier Survival plots
          -Cox proportional hazard regression (Concept)
          -Cox proportional hazard regression (Software demonstration)

 

Course 2: Introduction to Bioinformatics & Computational Biology

Director:
Yu Shyr, Ph.D.
Harold L. Moses Chair in Cancer Research
Director, Vanderbilt Center for Quantitative Sciences
Director, Vanderbilt Technologies for Advanced Genomics Analysis and Research Design
Professor of Biostatistics, Biomedical Informatics, and Cancer Biology
Vanderbilt University School of Medicine

Course 2 Description:
This course will provide medical researchers with a broad overview of bioinformatical, computational biology and systems biology concepts along with applicable tools for omics study design and data analysis to foster skills researchers need to critically evaluate the increasingly complex data sets that contemporary research is producing. 

Learning Objectives:
After participating in this CME activity, participants should be able to describe and discuss:

  • Identify appropriate bioinformatics tools for omics study design.
  • Identify appropriate bioinformatics tools for omics data analysis.
  • Discuss the key points relating to bioinformatics topics in journal articles.

  

Course 2 Schedule:

Tuesday, August 5  (Afternoon)
1:00 PM-2:30 PM      
Instructor: Yu Shyr, Ph.D.          
Topic:  Overview of current challenges of omics analysis         

2:30 PM – 4:00 PM    
Instructor: Yan Guo, Ph.D.                                    
Topic:  Next-generation sequencing analysis

                 

Wednesday, August 6  (Afternoon)
1:00 PM - 2:30 PM      
Instructor: Yan Guo, Ph.D.                                  
Topic:  Next-generation sequencing analysis                

2:30 PM – 4:00 PM    
Instructor: Zhongming Zhao, Ph.D., M.S.                      
Topic:  Translational medicine                                           

 

Thursday, August 7  (Afternoon)
1:00 PM – 3:00 PM    
Instructor: David Tabb, Ph.D.                               
Topic:  Proteomics                                                               

3:00 PM – 4:00 PM    
Instructor: Fei Ye, Ph.D.                                         
Topic:  siRNA screen                                                                       

 

Friday, August 8  (Morning)
9:00 AM – 11:00AM    
Instructors: Yaomin Xu, Ph.D. and Xingyi Guo, Ph.D.
Topic:  Epigenomics                                                                        

11:00 AM – 12:00 PM           
Instructor: Qi Liu, Ph.D.                               
Topic:  Integrative omics analysis                                  

Friday, August 8  (Afternoon)
1:00 PM –  2:00 PM    
Instructor: Qi Liu, Ph.D.                                         
Topic:  Integrative omics analysis                                     

2:00 PM – 4:00 PM    
Instructor: Bing Zhang, Ph.D.                               
Topic:  Network analysis     

 

Accreditation
Vanderbilt University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Vanderbilt University School of Medicine designates this live activity for a maximum of 15 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.