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Events & Workshops

Some CSTAT Seminars are available for Responsible and Ethical Conduct of Research (RECR) for discussion based credits. Themes are mostly rigor and reproducibility and on data management for quantitative fields. These seminars are are marked as "Available for RECR credit" in the seminar descriptions. The Graduate School offers more general workshops: https://grad.msu.edu/rcr

Upcoming Events

Past Events & Workshops

Apr
18
2023

Lunch 'N Learn - How to do ANOVA and Regression in SPSS - part 1

Title: Lunch 'N Learn - How to do ANOVA and Regression in SPSS - part 1
Speaker: Barry DeCicco, CSTAT
Date: Tuesday, April 18, 2023
Time: Noon - 1:00 pm EST

Mar
28
2023

Introduction to data visualization with ggplot2 in R

Title: Introduction to data visualization with ggplot2 in R
Speaker: Wenyue Ma, Ph.D. Candidate, CSTAT
Date: Tuesday, March 28, 2023
Time: 1:30-2:30 pm EST

Feb
2
2023

Data quality, simple yet complicated

Title: Data quality, simple yet complicated
Speaker: Prof. Carsten O. Schmidt, University of Greifswald, Germany
Date: Thursday, February 2, 2023
Time: noon-1:00 pm EST
Available for RCR credit

Nov
10
2022

Elements of data dictionaries

Title: REDCap Data Dictionary
Speaker: Jonathan Babbage, CTSI/BRIC, MSU
Date: Thursday, November 10, 2022
Time: noon-1:30 pm EST

Oct
27
2022

Research Integrity: Common pitfalls in design, analysis, and interpretation

GGS forum (Genetics and Genome Sciences Program)
Speaker: Dr. Marianne Huebner, STT and CSTAT
Date: Thursday, October 27, 2022
Time: noon-1pm
Location: 1425 BPS (in person or Zoom)

Sep
29
2022

IRB protocols and processes

Presenter: Rebecca Gore, Human Research Protection Program (HRPP) Office
Noon - 1:00 PM
Free Zoom registration is open.

Sep
23
2022

Introduction to Qualtrics

Title: Introduction to Qualtrics
Speaker: Dr. Wenjuan Ma, CSTAT
Date: Friday, September 23, 20222
Time: 2-4:30 pm EST

Registration $10: Eventbrite registration now open

Sep
20
2022

Regression without regrets

Colloquium of the Department of Statistics and Probability
Speaker: Dr. Marianne Huebner, STT and CSTAT
Time: 10:20 AM - 11:10 AM
Location: C405 Wells Hall
More info or link to Zoom: https://stt.natsci.msu.edu/calendar/colloquium-marianne-huebner2/

Sep
7
2022

Writing high impact papers: CSTAT Self-paced D2L Course

This is a self-paced course on D2L and is open to all MSU students and researchers.  Open during Fall Semester 2022.
Participants will be guided through reporting guidelines from the EQUATOR Network (https://www.equator-network.org) for randomized trials, observational studies, systematic reviews, and for diagnostic and prognostic studies. These were developed for health research, but apply to other disciplines. Participants will be able to apply these guidelines to improve the writing of their manuscript or of a conference abstract.

Jun
29
2022

Ten Simple Rules for Initial Data Analysis

Initial Data Analysis (IDA) is a crucial step and aims for transparency and integrity by providing you with an analysis-ready data set and reliable information about its data properties that enables you to perform the statistical analyses in a responsible manner and interpret the obtained results.

Article appeared in PLOS Computational Biology, 2022 in the Ten Simple Rules Series. https://doi.org/10.1371/journal.pcbi.1009819

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