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Royal Society Open Science|February 13, 2023
Missing observations in regression: a conditional approachH S Battey, D R CoxProceedings of the National Academy of Sciences of the United States of America|July 26, 2017
Large numbers of explanatory variables, a semi-descriptive analysisD R Cox, H S BatteyProceedings. Mathematical, Physical, and Engineering Sciences|August 16, 2018
Large numbers of explanatory variables: a probabilistic assessmentH S Battey, D R CoxRoyal Society Open Science|June 21, 2019
On the linear in probability model for binary dataH S Battey, D R Cox, M V JacksonInformation Geometry|November 24, 2025
On partial likelihood and the construction of factorisable transformationsH S Battey, D R Cox, Su Hyeong LeeCancer Treatment Reports|February 1, 1980
Proceedings of the Symposium on Designs for Clinical Cancer Research. Summary views: A statistician's perspectiveD R CoxLifetime Data Analysis|January 29, 2000
Some remarks on failure-times, surrogate markers, degradation, wear, and the quality of lifeD R CoxBiostatistics (Oxford, England)|August 20, 2003
Generalized least squares for the synthesis of correlated informationA Berrington, D R CoxProceedings of the National Academy of Sciences of the United States of America|October 1, 1971
Specific detection of antigen-binding cells by localized growth of bacteriaB Rotman, D R CoxScience Advances|June 21, 2017
Statistical thinking for 21st century scientistsD R Cox, Bradley EfronPageof 14