Events

  • Mediation analysis in Python

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    This session will be held online, and presenters will be in touch with more information after you register.   Mediation analysis is a set of tools for exploring hypotheses about causal pathways, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome.  Many approaches to mediation analysis are based […]

    Statistical analysis with missing data in Python

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    This session will be held online, and presenters will be in touch with more information after you register.   Missing data arise in many fields of research, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data.  Here we focus mainly on multiple imputation, which […]

    Introduction to Survey Design: Data Collection, Questionnaire Design and Response Processes-Lecture

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    This session will be held online, and presenters will be in touch with more information after you register.   This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire design. Participants will gain an appreciation […]

    Geostatistical Analysis with R

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    This session will be held online, and presenters will be in touch with more information after you register.   Geostatistical approach models spatially correlated continuous random phenomenon for robust estimation and prediction. The approach is common across different fields in applied science where continuous phenomenon is observed at a few locations in space and the […]

  • Intro to SQL

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    Ever want to know how to communicate with a database? You need to know SQL, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will […]

    Spatial Point Process Modelling in R

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    A BlueJeans link will be sent to all registered participants. Spatial point process models help us analyze the geometrical pattern of points (events) in space and find application in a variety of fields including image processing, public health, forestry, ecology, and business. This workshop will provide an introduction to point process models focusing on the conceptual […]

    CSCAR/MIDAS workshops on data, methodology, and Covid

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    CSCAR and MIDAS will hold a series of on-line technical workshops on the use of publicly-available data for analyzing human health at the population level. Some of the analyses and data are relevant to understanding the covid pandemic, but the focus of these workshops is on methods that are of broader use in population health […]

    Introduction to the Linux Command Line

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    This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […]

    Research computing on the Great Lakes Cluster

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    OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […]

    Advanced research computing on the Great Lakes Cluster

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    OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, […]