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This workshop will focus on the basic analyses, procedures, and best practices that any researcher should consider when faced with a new dataset.

The first step in fitting any linear models should be exploratory graphing with the raw data.  In many cases, this step will provide preliminary answers to the hypotheses and will provide a general idea of the effect sizes for the predictors.  Sometimes, descriptive graphs will not provide the whole picture, in particular when the response […]

This workshop is designed for people who have very little experience with statistics. We strongly recommend that participants view our Basic Data and Research Skills workshop on our Cornell VOD Page. beforehand. We will focus on the basic analyses, procedures and best practices that any researcher should consider when faced with a new dataset. All […]

This workshop is intended for people who have taken an introductory statistic course and feel comfortable with the material covered in our Introductory Statistics Using Stata workshop. This is a hands-on workshop and all methods will be demonstrated using the free statistical software package R.Topics that will be covered include: Chi-squared tests One-way and two-way ANOVA Simple […]

This workshop is designed for people who have very little experience with statistics. We strongly recommend that participants view our Basic Data and Research Skills workshop on our Cornell VOD Page beforehand. We will focus on the basic analyses, procedures and best practices that any researcher should consider when faced with a new dataset. All […]

This workshop will provide a hands-on overview of the Bayesian approach to statistical inference. Topics will include the foundations of Bayesian modeling, choice of prior distribution, Monte Carlo simulation, and practical implementation. Examples will be done using R, using the Stan language (https://mc-stan.org). This will be done using the cmdstanr R package (R Interface to […]

A receiver operating characteristic (ROC) curve is a graph that shows the diagnostic capability of a continuous variable at various thresholds predicting a binary outcome. This graph shows the relationship between the true positive rate to the false positive rate at different threshold values of the predictor variable. Different algorithms for defining the optimal threshold […]

Epidemiology is the study of the distribution and determinants of the presence of disease in populations. The goal of epidemiological studies is often to quantify the relationship between potential risk factors or exposures and disease. To accomplish this goal, there are several commonly used study designs including cross-sectional, cohort, and case-control. The study design dictates […]

This workshop will cover the basics of fitting non-linear models.  Topics covered include choosing an appropriate non-linear function, choosing appropriate starting values, evaluation model assumptions,  evaluating model fits, and prediction. We will also cover ways to compare non-linear fits by group ( i.e. by includingcovariates in a model), as well as touch on covering non-linear […]

Structural regression models allow researchers to do path analysis on latent variables. At its core, structural regression models have a measurement model, which is estimated using confirmatory factor analysis, and a structural part, which consists of hypotheses about the direct and indirect effects among observed or latent variables. Researchers often conflate the terms structural equation […]