Journal article
Science Advances, 2022
Reader in Statistics and Data Science
School of Mathematics
University of Edinburgh
Room 5406
James Clerk Maxwell Building, Edinburgh, EH9 3FD
APA
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Leist, A. K., Klee, M., Kim, J. H., Rehkopf, D. H., Bordas, S. P. A., Muniz-Terrera, G., & Wade, S. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances. https://doi.org/10.1126/sciadv.abk1942
Chicago/Turabian
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Leist, A.K., M. Klee, J.H. Kim, D.H Rehkopf, S.P.A Bordas, G. Muniz-Terrera, and S. Wade. “Mapping of Machine Learning Approaches for Description, Prediction, and Causal Inference in the Social and Health Sciences.” Science Advances (2022).
MLA
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Leist, A. K., et al. “Mapping of Machine Learning Approaches for Description, Prediction, and Causal Inference in the Social and Health Sciences.” Science Advances, 2022, doi:10.1126/sciadv.abk1942.
BibTeX Click to copy
@article{leist2022a,
title = {Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences},
year = {2022},
journal = {Science Advances},
doi = {10.1126/sciadv.abk1942},
author = {Leist, A.K. and Klee, M. and Kim, J.H. and Rehkopf, D.H and Bordas, S.P.A and Muniz-Terrera, G. and Wade, S.}
}