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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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UID:10000353-1585836000-1585846800@micde.umich.edu
SUMMARY:GIS analysis in R
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register. \n  \nR is a popular open source programming environment for statistics and data science. However\, it has also gradually become very powerful for GIS and spatial data science. \nThis workshop will help you learn about the tools and techniques available in R\, primarily for vector data analysis. Participants should register with the Census and get a census API key (https://api.census.gov/data/key_signup.html).
URL:https://micde.umich.edu/event/gis-analysis-in-r/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200406T150000
DTEND;TZID=America/Detroit:20200406T170000
DTSTAMP:20260607T094851
CREATED:20230905T171344Z
LAST-MODIFIED:20230905T171344Z
UID:10000340-1586185200-1586192400@micde.umich.edu
SUMMARY:Mediation analysis in Python
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register. \n  \nMediation 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 on regression analysis. In this workshop\, we will cover some of the basic ideas behind regression-based mediation analysis\, and show how this type of analysis can be performed in Python using the Statsmodels package.  All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/mediation-analysis-in-python-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200413T150000
DTEND;TZID=America/Detroit:20200413T170000
DTSTAMP:20260607T094851
CREATED:20230905T171344Z
LAST-MODIFIED:20230905T171344Z
UID:10000341-1586790000-1586797200@micde.umich.edu
SUMMARY:Statistical analysis with missing data in Python
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register. \n  \nMissing 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 is a broadly-applicable approach for working with missing data. We will illustrate through several case studies how multiple imputation allows certain types of missing data to be rigorously accounted for\, while preserving the flexibility to use a variety of familiar statistical tools to account for other aspects of the data.   The analyses presented in this workshop will be performed in Python using the Statsmodels package. All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/statistical-analysis-with-missing-data-in-python-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20200417T090000
DTEND;TZID=America/Detroit:20200417T170000
DTSTAMP:20260607T094851
CREATED:20230905T171344Z
LAST-MODIFIED:20230905T171344Z
UID:10000361-1587114000-1587142800@micde.umich.edu
SUMMARY:Introduction to Survey Design: Data Collection\, Questionnaire Design and Response Processes-Lecture
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register. \n  \nThis 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 of the tradeoffs inherent in survey design decisions and how design can affect data quality and survey errors. Topics will include: \nSurvey errors\, in particular measurement\, coverage\, and nonresponse error.\nWhat to consider when selecting a data collection method for a particular research question.\nMeasurement (response) error and how to reduce it through question wording/format and questionnaire structure.\nThe role of the interviewer and interviewee effects.
URL:https://micde.umich.edu/event/introduction-to-survey-design-data-collection-questionnaire-design-and-response-processes-lecture-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200420T140000
DTEND;TZID=America/Detroit:20200420T163000
DTSTAMP:20260607T094851
CREATED:20230905T171344Z
LAST-MODIFIED:20230905T171344Z
UID:10000359-1587391200-1587400200@micde.umich.edu
SUMMARY:Geostatistical Analysis with R
DESCRIPTION:This session will be held online\, and presenters will be in touch with more information after you register. \n  \nGeostatistical 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 task is to estimate it at un-sampled locations. \nWe will use R to explore and develop an understanding of variogram and kriging and how they can be used for robust and unbiased interpolation of data over space. \nThis workshop will be offered remotely via BlueJeans.
URL:https://micde.umich.edu/event/geostatistical-analysis-with-r/
LOCATION:Your Desktop
CATEGORIES:Workshops
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