Workshops

The Statistical Consulting Service (SCS) at the University of Connecticut is pleased to announce the SCS 2019 Spring Semester Workshop Series:

  • “Can Dead Fish be Alive? – (Math-Free Workshop to) Modern Statistical Methods for Testing Multiple Hypotheses” on February 15, 2019;
  • “Statistical Guarantee for Conducting a Successful Study – A Math-Free Workshop for Power Calculation” on March 8, 2019.
  • “Perfect the Imperfect Data – How to Deal with Missing Data in Practice” on April 5, 2019.
  • Information about past workshops is available here.


    Workshop 3: Perfect the Imperfect Data – How to Deal with Missing Data in Practice

    Abstract:

    No data would be perfect because of imperfect design or data collection process. Missing data is often inevitable in practice. In order to help researchers handle missing data properly, cause, consequence, analysis methods and prevention suggestions of missing data will be all introduced. In this workshop. Case studies in SPSS will be presented as well.

    Outline:

    1. Types of Missing Data
    2. Consequence of Missing Data
    3. Analysis of Missing Data
    4. Preventing Missing Data

    Location: Pharmacy/Biology Building (PBB) 129

    Date: 11:00 AM – 12:00 PM, April 5, 2019

    Live streaming is available at https://ait.uconn.edu/live-streaming/.

    Registration: http://merlot.stat.uconn.edu/www/consulting/workshops/register.php.


    Workshop 1: Can Dead Fish be Alive? – (Math-Free Workshop to) Modern Statistical Methods for Testing Multiple Hypotheses

    Abstract:

    If brain cells of a dead fish were tested, can we conclude if it’s dead? When everyone thought running multiple tests would better support our claim, turns out, it rather leads to false conclusions; hence, the name “multiplicity problem”. An overview of classical and modern multiplicity adjustment methods will be introduced controlling Family-wise Error Rate (FWER) and False Discovery Rate (FDR). Software details in R will be demonstrated. Real examples and applications will be presented. Don’t revive a dead fish!

    Outline:

    1. What is “multiplicity”?
    2. When does “multiplicity” arise?

      • (Example 1) Can dead fish be alive?
      • (Example 2) Can one drug cure multiple diseases?
    3. How can it be handled?

      • Procedures (Brace yourself for namedropping!)
      • Dead fish revisited
      • Drug test revisited
    4. How else? (Modern method)

      • Parallel Gate Keeping

    Location: Pharmacy/Biology Building (PBB) 129

    Date: 11:00 AM – 12:00 PM, February 15, 2019

    Registration: The first workshop has ended.


    Workshop 2: Statistical Guarantee for Conducting a Successful Study – A Math-Free Workshop for Power Calculation

    Abstract:

    Sample size calculation plays an important role in study design and grant proposal preparation. An overview of power analysis will be given. Two case studies will be presented to demonstrate the magic of power calculation for the survival model and the linear mixed effect model using SAS and R.

    Outline:

    1. Basic elements of power analysis
    2. Design of a survival study based on the Log-Rank test
    3. The linear mixed effect model: a path for designing a longitudinal study

    Location: Pharmacy/Biology Building (PBB) 129

    Date: 11:00 AM – 12:00 PM, March 8, 2019

    Registration: The second workshop has ended.