1. Sekhon, Jasjeet. Multivariate and propensity score matching with automated balance search. Journal of Statistical Software 2011
2. Sekhon, Jasjeet, and Richard D. Grieve. “A matching method for improving covariate balance in cost‐effectiveness analyses.”Health economics 21, no. 6 (2012): 695-714.
3. Radice, Rosalba, Roland Ramsahai, Richard Grieve, Noemi Kreif, Zia Sadique, and Jasjeet S. Sekhon. “Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach.”The international journal of biostatistics8, no. 1 (2012).
4. Kreif, Noemi, Richard Grieve, Rosalba Radice, Zia Sadique, Roland Ramsahai, and Jasjeet S. Sekhon. “Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data.”Medical Decision Making 32, no. 6 (2012): 750-763.
5. Kreif, Noémi, Richard Grieve, Rosalba Radice, and Jasjeet S. Sekhon. “Regression-adjusted matching and double-robust methods for estimating average treatment effects in health economic evaluation.”Health Services and Outcomes Research Methodology13, no. 2-4 (2013): 174-202.
6. Kreif, Noémi, Susan Gruber, Rosalba Radice, Richard Grieve, and Jasjeet S. Sekhon. “Evaluating treatment effectiveness under model misspecification: a comparison of targeted maximum likelihood estimation with bias-corrected matching.”Statistical methods in medical research(2014): 0962280214521341.
7. Kreif, Noémi, Richard Grieve, Iván Díaz, and David Harrison. “Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury.”Health economics24, no. 9 (2015): 1213-1228.
8. Abadie, Alberto, Alexis Diamond, and Jens Hainmueller. “Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program.”Journal of the American Statistical Association105, no. 490 (2010).
9. Kreif, Noémi, Richard Grieve, Dominik Hangartner, Alex James Turner, Silviya Nikolova, and Matt Sutton. “Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units.”Health economics (2015). doi: 10.1002/hec.3258.
10. Hartman, Erin, Richard Grieve, Roland Ramsahai, and Jasjeet S. Sekhon. “From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects.”Journal of the Royal Statistical Society: Series A (Statistics in Society)178, no. 3 (2015): 757-778.
11. Díaz‐Ordaz, Karla Michael G. Kenward, and Richard Grieve. “Handling missing values in cost effectiveness analyses that use data from cluster randomized trials.”Journal of the Royal Statistical Society: Series A (Statistics in Society)177, no. 2 (2014): 457-474.
12. Gomes, Manuel, Edmond S-W. Ng, Richard Grieve, Richard Nixon, James Carpenter, and Simon G. Thompson. “Developing appropriate methods for cost-effectiveness analysis of cluster randomized trials.”Medical Decision Making 32, no. 2 (2012): 350-361.
13. Gomes, Manuel, Richard Grieve, Richard Nixon, Edmond S‐W. Ng, James Carpenter, and Simon G. Thompson. “Methods For Covariate Adjustment In Cost‐Effectiveness Analysis That Use Cluster Randomised Trials.”Health economics21, no. 9 (2012): 1101-1118.
14. Ng, Edmond SW, Karla Diaz-Ordaz, Richard Grieve, Richard M. Nixon, Simon G. Thompson, and James R. Carpenter. “Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: an approach to model choice.”Statistical methods in medical research(2013): 0962280213511719.