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An active learning approach to teach advanced multi-predictor modeling concepts to clinicians

Publication ,  Journal Article
Samsa, GP; Thomas, L; Lee, LS; Neal, EM
Published in: Journal of Statistics Education
January 1, 2012

Clinicians have characteristics - high scientific maturity, low tolerance for symbol manipulation and programming, limited time outside of class - that limit the effectiveness of traditional methods for teaching multi-predictor modeling. We describe an active-learning-based approach that shows particular promise for accommodating these characteristics. © 2012.

Duke Scholars

Published In

Journal of Statistics Education

DOI

EISSN

1069-1898

Publication Date

January 1, 2012

Volume

20

Issue

1

Start / End Page

1 / 34

Related Subject Headings

  • Statistics & Probability
  • 1302 Curriculum and Pedagogy
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
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Samsa, G. P., Thomas, L., Lee, L. S., & Neal, E. M. (2012). An active learning approach to teach advanced multi-predictor modeling concepts to clinicians. Journal of Statistics Education, 20(1), 1–34. https://doi.org/10.1080/10691898.2012.11889631
Samsa, G. P., L. Thomas, L. S. Lee, and E. M. Neal. “An active learning approach to teach advanced multi-predictor modeling concepts to clinicians.” Journal of Statistics Education 20, no. 1 (January 1, 2012): 1–34. https://doi.org/10.1080/10691898.2012.11889631.
Samsa GP, Thomas L, Lee LS, Neal EM. An active learning approach to teach advanced multi-predictor modeling concepts to clinicians. Journal of Statistics Education. 2012 Jan 1;20(1):1–34.
Samsa, G. P., et al. “An active learning approach to teach advanced multi-predictor modeling concepts to clinicians.” Journal of Statistics Education, vol. 20, no. 1, Jan. 2012, pp. 1–34. Scopus, doi:10.1080/10691898.2012.11889631.
Samsa GP, Thomas L, Lee LS, Neal EM. An active learning approach to teach advanced multi-predictor modeling concepts to clinicians. Journal of Statistics Education. 2012 Jan 1;20(1):1–34.

Published In

Journal of Statistics Education

DOI

EISSN

1069-1898

Publication Date

January 1, 2012

Volume

20

Issue

1

Start / End Page

1 / 34

Related Subject Headings

  • Statistics & Probability
  • 1302 Curriculum and Pedagogy
  • 0104 Statistics