UVM Statistical Consulting offers workshops on a variety of data related topics. Check out the calendar on the left to find upcoming events.
During this workshop we will chat about how best to leverage AI to help write code for statistical analysis. We will discuss validity, reliability, reproducibility and data safety.
During this workshop we will discuss pros and cons of methods to approach data sets that have an overabundance of variables, such as stepwise selection, penalized regression and PCA.
During this workshop we will discuss how to approach the choice of an appropriate data analysis, how to check assumptions and how to assess goodness-of-fit as well as validity.
During this workshop we will learn when and how to use data projection and ordination methods such as PCA and NMDA.
During this workshop we will discuss methods for data that do not follow a known distribution.
During this workshop we will chat about best practices to organize, format, clean, manage and store data.
During this workshop we will chat about data collection best practices including sampling, sources of bias and sample size.
During this workshop we will chat about how to interpret the output from a statistical analysis such as p-values and confidence intervals and parameter estimates.
During this workshop we will chat about best practices when synthesizing results from cumulating studies.
During this workshop we will explore linear regression, t-tests, ANOVA and other linear models.
