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Propensity Score Analysis

Workshop

Randomized controlled trials are considered to be the gold standard in research design due to removal of confounding through randomization. However, in many instances true experimental designs are not always practical, or even ethical. Propensity score analysis methods can reduce bias in estimating treatment effect that is introduced due to non-random assignment of experimental units […]

Missing Data

Workshop

Missing data are very common in all types of data sets, but most statistical procedures assume that all data are observed. The result is that most standard statistical software packages automatically drop from the analysis all observations with any missing data. This approach can lead to very low sample sizes and biased results. This two-part […]

Model Selection and Multimodel Inference

Workshop

Multimodel inference (MMI) is a model selection framework that has recently gained some popularity as an alternative to null hypothesis significance testing. This type of inference favors stepwise approaches (forward and backwards model selection) to determine a single best “final” model. This workshop gives an overview of the MMI framework, in which researchers generate a […]

Getting started with data analysis using SAS

Workshop

This workshop is designed for people who need to analyze their data using SAS. We will focus on the workflow, best practices, and procedures that any researcher should consider when faced with a new dataset and illustrate them in a hands-on fashion using SAS. Researchers should have access to a copy of SAS if they […]

Introduction to Survey Methodology

Workshop

From course evaluations to public opinion polls, survey research is a great way to extract specific data from select populations. However, in order to collect valid data, it is essential to have a solid foundation of survey basics prior to launching a study. This workshop will guide you through the basic process of designing and […]

Introduction to Multinomial Logistic Regression

Workshop

Multinomial logistic regression is an extension of binary logistic regression. This statistical method can be implemented when modeling a dependent variable that is a categorical variable with more than two levels. This workshop will cover the mathematics of the multinomial logistic regression model, the interpretation of coefficients, model fit, and post-hoc tests.

Measurements of Agreement and Reliability

Workshop

In many fields of research, it is common to have several individuals rate a common set of study participants or objects. These measurements are almost always prone to various sorts of errors. Agreement statistics gauge how close the repeated measurements are by estimating the measurement error. Reliability statistics assess how well study participants\objects can be […]

Principal Component Analysis

Workshop

Principal Component Analysis (PCA) is a popular multivariate technique used for data reduction. By analyzing the variance-covariance structure of a set of variables, uncorrelated linear combinations of the variables (called principal components) are calculated that maximize the amount of variance explained. The resulting principal components can then be used in further analyses such as regression […]

An Introduction to Writing Loops for Efficient Statistical Analyses

Workshop

Loops can be used in a variety of ways to tackle statistical analyses that would be overwhelming otherwise. For instance, loops can be used to run a particular model or produce a series of figures over a sequence of variables. In this workshop, we will cover several examples in which loops are utilized to make […]

Sampling Design and Analysis of Complex Surveys

Workshop

Large-scale surveys are increasingly made available to and used by researchers in many fields for secondary data analysis. These surveys have often a complex design which might include features such as stratification, multi-stage sampling and unequal sampling probabilities. The statistical analysis of such a survey will yield incorrect results if the design is not properly […]