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Presentations

Kim, Yoonsang. (2014, Nov. 11). What You Need to Know about Multilevel Modeling for Complex Survey Data [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

In this session, we will discuss how to analyze survey data with longitudinal measures or with multiple levels where the hierarchical relationships and variation are substantively important. The role of sampling weights in survey data, how to use them in multilevel/longitudinal analysis, and recent developments in available statistical software also will be discussed.

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Pugach, Oksana. (2014, October 14). Time-Dependent Covariates in the Cox Proportional Hazard Regression Model. Institute for Health Research and Policy, University of Illinois at Chicago.

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Copyright Do's and Don'ts

Hunter, Pia, and DeGroote, Sandra. (2014, October 9) Talking About Research: Copyright Do’s and Don’ts [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

This session offered practical guidance on using images, extracts and other materials in compliance with U.S. copyright law when discussing research formally and informally — in scientific conferences, webinars, manuscripts and social media.

A 40-minute presentation, followed by a Q&A, covered copyright law, the fair use clause, fair use scenarios and best practices, public domain,Creative Commons, and open access sources.

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Hedeker, Donald. (2014, April 15). Cross-Classified and Multi-membership Multilevel Models. Institute for Health Research and Policy, University of Illinois at Chicago.

Cross-classified multilevel models apply when, say, a student is clustered within both a grammar and high school, but not all students from a given grammar school go the same high school. In this situation, the two types of clusters — grammar schools and high schools — do not represent hierarchical factors, but crossed factors. Multi-membership models are used in studies in which, for example, an individual patient may see multiple health care providers, or when a person is observed in multiple neighborhoods. In... more

Kim, Yoonsang. (2014, Jan. 14).  What You Need to Know about Proportions and Rates as Dependent Variables. Institute for Health Research and Policy, University of Illinois at Chicago.

What would you do when the variable of interest is continuous and restricted to the interval (0,1)? A linear regression assuming normality may not work because of the restricted range. Regression models for proportions and rates include beta regression and fractional logit regression. This Chalk Talk introduced these two approaches and reviewed their estimation methods, interpretation of parameters, and related statistical software.

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