TSHS Portal Update: New Dataset and Call for Data
TSHS Portal Update, by Carol Bigelow, PhD, University of Massachusetts.
TSHS Has two exciting new updates regarding the TSHS Portal! Below see the information below:
The TSHS Portal is excited to announce a new posting, the Stand Your Ground didactic dataset developed by Nicole Ackermann (Washington University School of Medicine). The data are selected information on 237 cases litigated in Florida between 2005 and 2013. Teachers will find it useful for providing students with practice in data cleaning, basic inference, and multiple predictor logistic regression. https://causeweb.org/tshs/stand-your-ground/
2025 Funding Opportunity for Dataset Submissions
The American Statistical Association (ASA) Section on Teaching of Statistics in the Health Sciences (TSHS) Resources Portal (Portal) Editorial Board is pleased to announce two (2) $500 stipend opportunities in 2025 for the submission of teaching datasets that are associated with publicly accessible published research. Priority will be given to datasets that are suitable for teaching multiple predictor linear regression, poisson regression, or mixed model approaches for repeated measurements data.
The TSHS Resources Portal (https://www.causeweb.org/tshs/) is one of the major products of the TSHS Section, supporting the use of real data in the health-sciences classroom. We are always looking to expand our collection of datasets, but realize that formatting the data, generating the dictionary, and creating the introduction materials are time consuming.
In 2025, the TSHS is sponsoring two (2) $500 stipends to be used to compensate graduate students assisting in the preparation of a portal dataset, including any required revisions. Priority will be given to health sciences datasets that are suitable for teaching linear regression, poisson regression or mixed model approaches for repeated measurements data.
In addition to sharing great datasets, this is an opportunity for members wanting to mentor students. Also, since datasets are peer reviewed, the submitters can list the submission as a publication on their CVs.
Applicants must have a publication in mind and have obtained permission to share the corresponding dataset, after deidentification, on the Portal. Datasets should be based on a journal publication in the health sciences. Students are welcome to apply but must have identified a faculty mentor who has access to an appropriate dataset and is willing to commit to working with the student on the submission.
How to apply.
To apply, please submit the following using this Google form here
Brief description of chosen dataset
Citation of the corresponding publication
Attestation that you have obtained permission to share a deidentified version of the dataset
Timeline for the submission
Applications will be processed on a rolling basis. For more information about the process of contributing a dataset, please see https://www.causeweb.org/tshs/contributors/.
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