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Should We Adjust for Covariates in Nonlinear Regression Analyses of Randomized Trials?
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Towards better clinical prediction models: seven steps for development and an ABCD for validation
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Using simulation studies to evaluate statistical methods
Morris, T. P., White, I. R., & Crowther, M. J. (2019) · Statistics in Medicine · doi:10.1002/sim.8086 · Cited by 1,305
Management of coronary disease in patients with advanced kidney disease
Bangalore, S., Maron, D. J., O’Brien, S. M., Fleg, J. L., Kretov, E. I., Briguori, C., Kaul, U., Reynolds, H. R., Mazurek, T., Sidhu, M. S., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1915925 · Cited by 499
Kahan, B. C., Jairath, V., Doré, C. J., & Morris, T. P. (2014) · Trials · doi:10.1186/1745-6215-15-139 · Cited by 497
Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models
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Metadata
- Authors
- Hauck, W. W., Anderson, S., & Marcus, S. M.
- Venue
- Controlled Clinical Trials
- Publisher
- Elsevier BV
- Published
- 1998-06
- Volume
- 19
- Issue
- 3
- Pages
- 249-256
- ISSN
- 0197-2456 (ISSN-L)
- OpenAlex
- W1966428349
- Cited by
- 218
- References
- 3
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- Hauck, W. W., Anderson, S., & Marcus, S. M. (1998). Should We Adjust for Covariates in Nonlinear Regression Analyses of Randomized Trials? Controlled Clinical Trials. https://doi.org/10.1016/s0197-2456(97)00147-5
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