Beyond the T-Test: A Practical Guide to Coding and Statistics for Large-Scale Datasets
July 9th, 10th, and 11th

This hands-on workshop is designed to guide you through the challenges of analyzing complex data, including small sample sizes and large number of variables, and missing values. Whether you're working with biomarkers, metabolites, proteins, or large non-biological datasets, you'll gain practical skills to improve the reliability and interpretability of your findings. We’ll begin with an introduction to core statistical concepts, walking through traditional approaches like t-tests and ANOVA, and compare them to more advanced methods—such as limma, LASSO, and sPLS-DA—that are better suited for large and complex datasets. No prior experience in statistics is required!

All workshop materials will be provided to participants.

Total cost [all 3 days] of the workshop is $300 total per individual for UConn Affiliates (Previously $450). Inquire about external rates. If you cannot attend all 3 days please contact us (timothy.e.moore@uconn.edu).

Click here to register!

Summer 2025 Workshop Registration Form

"*" indicates required fields

Name*

First Last

Email*

UConn affiliates, please use Uconn email

Department

KFS Number for Billing (If External/Self-pay put "CC")*

What is your current role or field of research?*

How confident are you with basic statistical concepts (e.g. p-values, confidence intervals)?*

1 - not at all confident

2

3

4

5 - very confident

How much experience do you have with using statistical software or programming tools for data analysis?*

1 - little to no experience

2

3

4

5 - lots of experience

Which of the following methods have you used before? (Check all that apply)*

t-test or ANOVA

Linear or logistic regression

limma

LASSO or ridge regression

PLS-DA, sPLS-DA, oPLS-DA

None of the above

What type of data do you typically work with?*

Gene expression / RNA-seq

Proteomics

Metabolomics

Clinical / survey data

Other:

If Other, specify below:

What are you hoping to learn or take away from this workshop?*

Name

This field is for validation purposes and should be left unchanged.