Resources

Beginner's Guide to Research Studies

Data storage finder (MSU internal): https://data-storage-finder.tech.msu.edu/

Examples of Study Protocols

CSTAT Seminar Recordings

Recordings of past CSTAT Seminars and Workshops found at our Media Space page:

CSTAT Media Space

CSTAT Posters and Checklists

Poster: Scientific Data: Management and Sharing

Poster: Ten Simple Rules for Initial Data Analysis (IDA)

Checklist: Statistical Analysis Plan - observational studies

Checklist: Initial Data Analysis - cross-sectional studies

Checklist: Initial Data Analysis - longitudinal studies

CSTAT Scientific Review Committee (SRC)

Some projects may be selected for a review by the CSTAT Scientific Review Committee (SRC). You may request a scientific review from the SRC by emailing your protocol to cstatcon@msu.edu before submitting one of the forms below.

Guided protocol submission for CSTAT support for dissertations

SRC Review form for CSTAT support for grant proposals

Research and Consulting Units at MSU

Institute for Cyber-Enabled Research (iCER)

Biomedical Research Informatics Core (BRIC)

Bioinformatics Core

College of Agriculture and Natural Resources: Statistical Consulting (SCC)

CSTAT PUBLICATIONS

The following are publications with CSTAT statisticians or made possible by CSTAT resources. MSU faculty that would like to highlight the output of their research that has benefited from CSTAT resources are invited to contact us.

Huebner, M., Lawrence, F., & Lusa, L. (2022). Sex Differences in Age-Associated Rate of Decline in Grip Strength When Engaging in Vigorous Physical Activity. International Journal Of Environmental Research And Public Health, 19, 11009.

Huebner, M., Faber, F., Currie, K., & Rieger, T. (2022). How do Master Weightlifters Train? A Transnational Study of Weightlifting Training Practices and Concurrent Training. International Journal Of Environmental Research And Public Health, 19, 2708.

Yao, S., Ewoldsen, D., Ellithorpe, M., Van Der Heide, B., & Rhodes, N. (2022). Gamer Girl vs. Girl Gamer: Stereotypical Gamer Traits Increase Men s Play Intention. Computers In Human Behavior, 131, 107217. http://doi.org/https://doi.org/10.1016/j.chb.2022.107217

Akaeze, H., Lawrence, F., & Wu, J. (2022). Resolving Dimensionality in a Child Assessment Tool: An Application of the Multilevel Bifactor Model. Educational And Psychological Measurement, 00131644221082688. http://doi.org/10.1177/00131644221082688

McClaran, N., Rhodes, N., & Yao, S. (2022). Trust and Coping Beliefs Contribute to Racial Disparities in COVID-19 Vaccination Intention. Health Communication, 1-8. http://doi.org/10.1080/10410236.2022.2035944

Baillie, M., le Cessie, S., Schmidt, C. O., Lusa, L., Huebner, M., & Initiative, T. (2022). Ten simple rules for initial data analysis. PLOS Computational Biology. Public Library of Science San Francisco, CA USA.

Kwiatkowski, C. C., Akaeze, H., Ndlebe, I., Goodwin, N., Eagle, A. L., Moon, K., & Robison, A. J. (2021). Quantitative standardization of resident mouse behavior for studies of aggression and social defeat. Neuropsychopharmacology. Retrieved from https://doi.org/10.1038/s41386-021-01018-1

Huebner, M., Ma, W., & Rieger, T. (2021). Weightlifting during the COVID-19 Pandemic—A Transnational Study Regarding Motivation, Barriers, and Coping of Master Athletes. International Journal Of Environmental Research And Public Health, 18, 9343.

Campbell, R., Fehler-Cabral, G., Pierce, S. J., Sharma, D. B., Shaw, J., Horsford, S., & Feeney, H. (2021). Changing the criminal justice system response to sexual assault: An empirical study of a participatory action research project. American Journal Of Community Psychology, 67(1-2), 166-178. http://doi.org/10.1002/ajcp.12428

Fiebig, A., Vrentas, C. E., Le, T., Huebner, M., Boggiatto, P. M., Olsen, S. C., & Crosson, S. (2021). Quantification of Brucella abortus population structure in a natural host. Proceedings Of The National Academy Of Sciences, 118.

Schmidt, C. O., Struckmann, S., Enzenbach, C., Reineke, A., Stausberg, J., Damerow, S., et al. (2021). Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R. Bmc Medical Research Methodology, 21, 1-15. http://doi.org/http://doi.org/10.21203/rs.3.rs-119457/v1

Lusa, L., & Huebner, M. (2021). Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms. International Journal Of Environmental Research And Public Health, 18, 9684.

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