UW Madison UW School of Medicine and Public Health

SIBS logo    Summer Institute for Training in Biostatistics (SIBS)
     
Practicum in Clinical Trials (3 credits)
     
Descriptive Statistics, One- and Two-Sample Inference Using the COAST Data

Ronald Gangnon will introduce students to descriptive statistics, graphical displays and one-sample and two-sample inference (hypothesis testing and confidence intervals) for continuous outcomes. These concepts will be introduced using data on cytokine responses during the first year of life in children enrolled in the Childhood Origins of Asthma (COAST) study, a prospective birth cohort study.

     
Clinical Trials Research

Dr. Dave DeMets will give a series of lectures which illustrate the interplay between scientific issues and research ethics, in particular, the interplay between statistical methods in the design and analysis of data and ethical principles. Examples are used to illustrate the points. Articles are assigned to read for each class that provide additional information on the examples used. One data set is assigned for analysis which further illustrates the statistical-ethical tensions with research agendas.

     
Epidemiologic Study Designs and Interpretation: Sleep Apnea and Hypertension

Ronald Gangnon will introduce students to the various epidemiologic study designs (case studies, cross-sectional, case-control, cohort, clinical trials) and the statistical methods used to analyze such data, (one-sample and two-sample inference, hypothesis testing and confidence intervals) for binomial data and various measures of effects for two-sample binomial data (risk difference, risk ratio, odds ratio). These concepts will be introduced using research on the hypothesized association between sleep apnea and hypertension.

     
Introduction to Genomic Analysis

Dr. Sunduz Keles will introduce the field of statistical genomics. She will provide an overview of genomic problems and how statistics are used to address them. More specifically, she will talk about DNA microarray experiments that attempt to relate biological and clinical outcomes using genome-wide measures such as mRNA levels and DNA copy number. These concepts will be introduced using research on the hypothesized association between sleep apnea and hypertension.

     
Survival Analysis

Dr. Rick Chappell will talk about survival analysis, which is how biostatisticians analyze times to events such as death. The special issue here is that event times will be unknown for research subjects who are still alive and so traditional mean-based methods no longer apply. He will present a real example from the Hong Kong Nasopharyngeal Carcinoma Group's study on the use of chemotherapy in nasopharyngeal cancer, and describe how to do survival analysis using R. These concepts will be introduced using research on the hypothesized association between sleep apnea and hypertension.

     
Final Projects

These projects are meant for you to exercise your new skills in data analysis and programming. You will be asked to collaborate with some of your classmates to analyze data from actual studies conducted by the National Heart, Lung, and Blood Institute and submit a report describing your findings. Students are encouraged to explore the data beyond the scope of the questions provided in the assignments.

 

Ebling Library and CSC
 
  
  

Any questions about the program or application procedures?

Please contact: Whitney Sweeney, Student Services Coordinator
Telephone: 608-262-9184 or Email:

 

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