Latent profile analysis (LPA) is a statistical technique that aims to detect underlying latent groups, called profiles, from observed continuous data. LPA falls under the umbrella of a finite mixture model (FMM). The model estimates the probability of belonging to each latent profile for each participant. This should be viewed in contrast to factor analysis, […]
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 R 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 […]
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 […]