lmaowisc.github.io/courses.qmd at master · lmaowisc/lmaowisc.github.io · GitHub

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---
title: "Courses"
css: courses.css
---


## University Courses

### Applied Survival Analysis
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[![](images/surv_hex.png){width="100%"}](https://lmaowisc.github.io/BMI741){target="_blank"}\
[Spring 2020 -- 2025]{style="font-size: 0.85em"}
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Provides a survey of statistical methods for time-to-event data arising in medical and industrial settings.

-   Kaplan-Meier estimator, log-rank test, Cox proportional hazards model
-   Multiple failures, recurrent events, competing risks, joint analysis with longitudinal data, multistate processes, composite endpoints
-   Causal inference, machine learning

Emphasizes case studies and data analysis (using R)
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### Applied Longitudinal Analysis
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![](images/longit_hex.png){width="100%"}\
[Spring 2019 ]{style="font-size: 0.85em"}
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Introduces modern statistical methods for longitudinal data, with applications in health sciences, behavioral studies, and beyond.

<!-- -   Response profiles of repeated measurements, cluster data -->
-   Linear mixed-effects models,  mean and variance structure
-   Marginal models, generalized estimating equations (GEE)
-   Generalized linear mixed effects models, growth curve analysis
-   Missing data, sample size calculation

Emphasizes modeling and analyzing real-world datasets (using SAS)
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## Workshops