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  • VPR
  • Funding & Proposals
    • Find Funding
    • Research Development & Proposal Services
    • Training Grants
    • Pre-Award Support
    • Post-Award Support
    • Collaboration
  • Compliance
    • Research Regulatory Support
    • Animal Care
    • Human Subjects
    • Environmental Health & Safety
    • Export Control
    • Conflict of Interest
    • Research Integrity
    • Stem Cell
    • University Research Organization
    • Outside Influence Guidance
    • MSU Policies
  • Commercialization
    • Innovation Center
    • Business Connect
    • MSU Technologies
    • Spartan Innovations
    • Bioeconomy Institute
    • AgBio Product Center
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    • Getting Started in Research
    • Resource Contact List
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    • Centers & Institutes
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    • Find an Expert
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Michigan State University Center for Statistical Training and Consulting

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Resources

Beginner's Guide to Research Studies

  1. Study Design
  2. Protocol and Scientific Review
  3. Institutional Review Board
  4. Data Management
  5. Data Analysis
  6. Abstract and Manuscript Submission

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., Meltzer, D., & Perperoglou, A. (2019). Age-associated Performance Decline and Sex Differences in Olympic Weightlifting. Med Sci Sports Exerc. http://doi.org/10.1249/MSS.0000000000002037

Pfeiffer, K., Robbins, L., Ling, J., Sharma, D. B., Dalimonte-Merckling, D., Voskuil, V., et al. (2019). Effects of the Girls on the Move randomized trial on adiposity and aerobic performance (secondary outcomes) in low-income adolescent girls. Pediatric Obesity, 14.

Miller, R., Chiaramonte, D., Strzyzykowski, T., Sharma, D., Anderson-Carpenter, K., & Fortenberry, D. (2019). Improving timely linkage to care among newly diagnosed HIV-infected youth: results of SMILE. Journal Of Urban Health, 96, 845-855.

Campbell, R., Pierce, S. J., Sharma, D. B., Feeney, H., & Fehler-Cabral, G. (2019). Developing empirically-informed policies for sexual assault kit (SAK) DNA forensic testing: Is it too late to test kits beyond the statute of limitations?. Criminal Justice Policy Review, 30, 3-27. http://doi.org/10.1177/0887403416638507

Scow, J. S., Tomhave, N. M., Lovely, J. K., Spears, G. M., Huebner, M., & Larson, D. W. (2019). Post-Discharge Opioid Prescribing Patterns and Risk Factors in Patients Undergoing Elective Colon and Rectal Surgery Without Complications. Journal Of Gastrointestinal Surgery, 23, 1022-1029.

Lovely, J. K., Huang, L. C., Meyers, A. J., Spears, G. M., Huebner, M., & Larson, D. W. (2019). Post-surgical opioid prescribing patterns and risk factors for additional opioid prescriptions within one year after non-emergent colorectal surgery. The American Journal Of Surgery, 218, 56-61.

Grass, F., Braafladt, S., Alabbad, J., Lovely, J. K., Kelley, S. R., Mathis, K. L., et al. (2019). The effects of tranexamic acid on blood loss and transfusion rate in colorectal surgery. The American Journal Of Surgery.

Huebner, M., & Perperoglou, A. (2019). Performance Development From Youth to Senior and Age of Peak Performance in Olympic Weightlifting. Frontiers In Physiology, 10, 1121. http://doi.org/10.3389/fphys.2019.01121

Wisnieski, L., Norby, B., Pierce, S. J., Becker, T., & Sordillo, L. M. (2019). Prospects for predictive modeling of transition cow diseases. Animal Health Research Reviews. http://doi.org/10.1017/S1466252319000112

Wisnieski, L., Norby, B., Pierce, S. J., Becker, T., Gandy, J., & Sordillo, L. M. (2019). Cohort level disease prediction using aggregate biomarker data measured at dry-off in transition dairy cattle: A proof of concept study. Preventive Veterinary Medicine, 169. http://doi.org/10.1016/j.prevetmed.2019.104701

Wisnieski, L., Norby, B., Pierce, S. J., Becker, T., Gandy, J., & Sordillo, L. M. (2019). Cohort level disease prediction by extrapolation of individual level predictions in transition dairy cattle. Preventive Veterinary Medicine, 169. http://doi.org/10.1016/j.prevetmed.2019.104692

Voskuil, V. R., Robbins, L. B., & Pierce, S. J. (2019). Predicting physical activity among urban adolescent girls: A test of the Health Promotion Model. Research In Nursing And Health, 42, 392-409. http://doi.org/10.1002/nur.21968

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