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January 2018

Making Web Maps with Google Fusion Tables

January 12, 2018 @ 9:30 am - 11:30 am

Fusion Tables is an experimental data visualization web application (launched in 2009) to gather, visualize, and share data tables. You can create web maps (e.g. dot maps, choropleths, heat maps)…

Regular Expressions

January 12, 2018 @ 2:00 pm - 4:30 pm

Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find”…

Statistics: A Review

January 16, 2018 @ 8:30 am - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States
Presenters: Kerby Shedden is a professor in the department of Statistics at the University of Michigan; He has extensive experience as a statistical consultant in studies both on and off campus. Brenda Gillespie is the Associate Director of CSCAR and Assistant professor in the Department of Biostatistics at the University of Michigan. She has extensive experience as a statistical consultant, and specializes in ANOVA, survival analysis, design of experiments, and clinical trials. Corey Powell is a Statistical Consultant at CSCAR.

A one-day, intensive review of common statistical methods of design, measurement analysis and presentation of scientific investigations.  The workshop is designed for any scholar engaged in quantitative research. Statistics: A…

SPSS I Introduction to SPSS

January 18, 2018 @ 9:00 am - 4:30 pm
Presenters: Corey Powell is a statistical consultant at CSCAR.

Note: Topic order is subject to change. This workshop is designed to introduce participants to SPSS. It will cover the fundamentals of SPSS, within-case transformations, data management with multiple files,…

Regular Expressions II

January 19, 2018 @ 2:00 pm - 4:30 pm
Presenters: Alex Cao

Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find”…

Android Application Development: Why and How

January 23, 2018 @ 10:00 am - 3:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google has stated that over 2 billion devices around the world use the…

Stata 1: Introduction to Stata

January 25, 2018 @ 9:00 am - 4:30 pm

Note: Topics are subject to change. Topics: Basics – Interfacing with Stata, Do-files, getting help. Working with Data Sets – Importing, opening, and saving data files. Data Management – Getting…

February 2018

Statistical Analysis with R

February 5, 2018 @ 8:30 am - 3:30 pm
|Recurring Event (See all)
February 5 and 6. Two full days
Presenters: Chris Andrews is a statistical consultant at CSCAR and statistician in the UM Department of Ophthalmology and Visual Sciences. Formerly he was Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Region Biostatistics Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute.

This is a two day workshop (February 5 and 6) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many…

Stata 2: Statistical Modeling in Stata

February 7, 2018 @ 9:00 am - 4:30 pm
Presenters: Josh Errrickson is a statistical consultant at CSCAR.

This workshop is aimed at participants with some basic knowledge of Stata (e.g having taken Stata 1), and covers statistical analyses and graphing tools within Stata. Topics include descriptive statistics, t-tests, regression, mixed models, multiple…

Mixed Models with R

February 8, 2018 @ 1:00 pm - 5:00 pm

Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data, where the correlation typically arises from the observations being…