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Likelihood calculations for matched case-control studies and survival studies with tied death times
Abstract
A recursion is presented which permits rapid computation of a conditional likelihood function which arises in matched case-control studies and survival studies with tied death times. An example with seven parameters and ten large strata, the largest of which contains 29 cases and 52 controls, illustrates the feasibility of the conditional maximum likelihood solution. These methods may be specialized to permit rapid calculation of the conditional maximum likelihood estimate of the common odds ratio for several 2×2 tables.
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Cited by
Giuliano, A. E., Ballman, K. V., McCall, L., Beitsch, P. D., Brennan, M. B., Kelemen, P. R., Ollila, D. W., Hansen, N. M., Whitworth, P. W., Blumencranz, P. W., et al. (2017) · JAMA · doi:10.1001/jama.2017.11470 · Cited by 1,912
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Avgar, T., Potts, J. R., Lewis, M. A., & Boyce, M. S. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12528 · Cited by 594
Boyle, P. A., Buchman, A. S., Barnes, L. L., & Bennett, D. A. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.208 · Cited by 580
Exact logistic regression: Theory and examples
Mehta, C. R., & Patel, N. R. (1995) · Statistics in Medicine · doi:10.1002/sim.4780141908 · Cited by 481
Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
Fay, M. P., & Graubard, B. I. (2001) · Biometrics · doi:10.1111/j.0006-341x.2001.01198.x · Cited by 306
Metadata
- Authors
- GAIL, M. H., LUBIN, J. H., & RUBINSTEIN, L. V.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1981
- Volume
- 68
- Issue
- 3
- Pages
- 703-707
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W1997202142
- Cited by
- 209
- References
- 0
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- GAIL, M. H., LUBIN, J. H., & RUBINSTEIN, L. V. (1981). Likelihood calculations for matched case-control studies and survival studies with tied death times. Biometrika. https://doi.org/10.1093/biomet/68.3.703
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