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- A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications. International Statistical Review 2017. 85:185-203 .
- Intermediate and advanced topics in multilevel logistic regression analysis. Statistics in Medicine 2017. 36:3257-3277 .
- Comparing the performance of propensity score methods in healthcare database studies with rare outcomes. Statistics in Medicine 2017. 36:1946-1963 .
- Accounting for competing risks in randomized controlled trials: a review and recommendations for improvement. Statistics in Medicine 2017. 36:1203-1209 .
- The median hazard ratio: a useful measure of variance and general contextual effects in multilevel survival analysis. Statistics in Medicine 2017. 36:928-938 .
- Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis. Statistics in Medicine 2016. 35:5642-5655 .
- Terminating observation within matched pairs of subjects in a matched cohort analysis: a Monte Carlo simulation study. Statistics in Medicine 2016. 35:294-304 .
- Developing points-based risk-scoring systems in the presence of competing risks. Statistics in Medicine 2016. 35:4056-4072 .
- Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Statistics in Medicine 2015. 34:3661-3679 .
- Optimal full matching for survival outcomes: a method that merits more widespread use. Statistics in Medicine 2015. 34:3949-3967 .
- The use of bootstrapping when using propensity-score matching without replacement: a simulation study. Statistics in Medicine 2014. 33:4306-4319 .
- Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers. Statistics in Medicine 2014. 33:517-535 .
- A comparison of 12 algorithms for matching on the propensity score. Statistics in Medicine 2014. 33:1057-1069 .
- The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Statistics in Medicine 2014. 33:1242-1258 .
- Bootstrap confidence intervals for loess-based calibration curves. Statistics in Medicine 2014. 33:2699-2700 .
- Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models. Statistics in Medicine 2013. 32:661-672 .
- Correction: ‘Generating survival times to simulate Cox proportional hazards models with time-varying covariates’. Statistics in Medicine 2013. 32:- .
- The performance of different propensity score methods for estimating marginal hazard ratios. Statistics in Medicine 2013. 32:2837-2849 .
- Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?. Biometrical Journal 2012. 54:657-673 .
- Generating survival times to simulate Cox proportional hazards models with time-varying covariates. Statistics in Medicine 2012. 31:3946-3958 .
- Optimal caliper widths for propensity-score matching when estimating differences in means and difference in proportions in observational studies. Pharmaceutical Statistics 2011. 10:150-161 .
- Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples. Statistics in Medicine 2011. 30:1292-1301 .
- Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical Statistics 2011. 10:150-161 .
- A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: A review. The International Journal of Biostatistics 2011. 7:NA-NA .
- The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies. Statistics in Medicine 2010. 29:2137-2148 .
- A data-generating process for data with specified risk differences or numbers needed to treat. Communications in Statistics: Simulation and Computation 2010. 39:563-577 .
- A comparison of the statistical power of different methods for the analysis of repeated cross-sectional cluster randomization trials with binary outcomes. The International Journal of Biostatistics 2010. 6:NA-NA .
- Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulations. Biometrical Journal 2009. 51:171-184 .
- Inflation of type I error rate in multiple regression when independent variables are measured with error. Canadian Journal of Statistics 2009. 37:33-46 .
- Type I Error Rates, Coverage of Confidence Intervals, and Variance Estimation in Propensity-Score Matched Analyses. The International Journal of Biostatistics 2009. 5:NA-NA .
- Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine 2009. 28:3083-3107 .
- Bayesian propensity score analysis for observational data. Statistics in Medicine 2009. 28:94-112 .
- Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses. The International Journal of Biostatistics 2009. 5:NA-NA .
- Inverse probability weighted estimation of the marginal odds ratio. Statistics in Medicine 2008. 27:5560-5563 .
- Reply to comments on ``The performance of different propensity score methods for estimating marginal odds ratios'' (2007V26 p3078-3094)(Pkg: p3915-3920). Statistics in Medicine 2008. 27:3918-3920 .
- A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine 2008. 27:2037-2049 .
- Discussion of ‘A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003’. Statistics in Medicine 2008. 27:2066-2069 .
- Optimal Bayesian probability levels for hospital report cards. Health Services and Outcomes Research Methodology 2008. 8:80-97 .
- Reply to comments on ``A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003'' (Pkg: p2037-2069). Statistics in Medicine 2008. 27:2066-2069 .
- The large-sample performance of backwards variable elimination. Journal of Applied Statistics 2008. 35:1355-1370 .
- A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003 (Pkg: p2037-2069). Statistics in Medicine 2008. 27:2037-2049 .
- Using the bootstrap to improve estimation and confidence intervals for regression coefficients selected using backwards variable elimination. Statistics in Medicine 2008. 27:3286-3300 .
- Reply to comment on ``The performance of different propensity score methods for estimating marginal odds ratios'' (2007V26 p3078-3094) (Pkg: p5556-5563). Statistics in Medicine 2008. 27:5560-5563 .
- The performance of different propensity score methods for estimating marginal odds ratios, Statistics in Medicine 2007; 26:3078–3094. Statistics in Medicine 2008. 27:3918-3920 .
- A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: A Monte Carlo study. Statistics in Medicine 2007. 26:734-753 .
- Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study. Statistics in Medicine 2007. 26:754-768 .
- A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine 2006. 25:2084-2106 .
- Comparing clinical data with administrative data for producing acute myocardial infarction report cards. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2006. 169:115-126 .
- The use of the propensity score for estimating treatment effects: Administrative versus clinical data. Statistics in Medicine 2005. 24:1563-1578 .
- Reply to comment on ``Bootstrap methods for developing predictive models'' (2004V58 p131-137). The American Statistician 2005. 59:118-118 .
- The reliability and validity of Bayesian measures for hospital profiling: A Monte Carlo assessment. Journal of Statistical Planning and Inference 2005. 128:109-122 .
- The use of quantile regression in health care research: A case study examining gender differences in the timeliness of thrombolytic therapy. Statistics in Medicine 2005. 24:791-816 .
- Estimating linear regression models in the presence of a censored independent variable. Statistics in Medicine 2004. 23:411-429 .
- Bootstrap methods for developing predictive models. The American Statistician 2004. 58:131-137 .
- Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analyses. Statistics in Medicine 2004. 23:1159-1178 .
- A comparison of several regression models for analysing cost of CABG surgery. Statistics in Medicine 2003. 22:2799-2815 .
- The use of finite mixture models to estimate the distribution of the health utilities index in the presence of a ceiling effect. Journal of Applied Statistics 2003. 30:909-923 .
- Type I error inflation in the presence of a ceiling effect. The American Statistician 2003. 57:97-104 .
- A comparison of statistical modeling strategies for analyzing length of stay after CABG surgery. Health Services and Outcomes Research Methodology 2002. 3:107-133 .