Elsewhere: [math people] [google] [google scholar]

- Latent class instrumental variables: a clinical and biostatistical perspective. Statistics in Medicine 2016. 35:147-160 .
- The latent class twin method. Biometrics 2016. 72:827-834 .
- How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through. Statistics in Medicine 2014. 33:3946-3959 .
- Instrumental variable methods for causal inference: early work and recent developments. Statistics in Medicine 2014. 33:3058-3059 .
- Biomarker evaluation in randomized trials: addressing different research questions. Statistics in Medicine 2014. 33:4139-4140 .
- A latent class method for diagnostic tests: the new, reference, gold standard problem. Statistics in Medicine 2014. 33:- .
- Causal inference, probability theory, and graphical insights. Statistics in Medicine 2013. 32:4319-4330 .
- Letter to the Editor: “Comment on Hubbard and Miglioretti (2013), Consider Also a Selection Model for the Cumulative Risk of False Positive Screening Tests”. Biometrics 2013. 69:- .
- The risky reliance on small surrogate end point studies when planning a large prevention trial. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2013. 176:603-608 .
- Remarks on ‘A simple decision analytic solution to the comparison of two binary diagnostic tests’ by Vickers et al.. Statistics in Medicine 2013. 32:- .
- Additional thoughts on causal inference, probability theory, and graphical insights. Statistics in Medicine 2013. 32:4334-4337 .
- Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time. Biometrics 2012. 68:248-257 .
- Comment on Nie et al. (2011), Biometrics, Early View. Biometrics 2012. 68:- .
- Evaluating a New Marker for Risk Prediction Using the Test Tradeoff: An Update. The International Journal of Biostatistics 2012. 8:1-37 .
- Comment on ``Estimation and inference for the causal effect of receiving treatment on a multinomial outcome'' (2009V65 p96-103)(Pkg:319-325): An alternative approach. Biometrics 2011. 67:319-323 .
- Modelling the cumulative risk of a false-positive screening test. Statistical Methods in Medical Research 2011. 20:291-293 .
- Comment on ``Principal stratification -- A goal or a tool?'' (2011V7) (Pkg). The International Journal of Biostatistics 2011. 7:NA-NA .
- Estimation and Inference for the Causal Effect of Receiving Treatment on a Multinomial Outcome: An Alternative Approach. Biometrics 2011. 67:319-323 .
- Using relative utility curves to evaluate risk prediction. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2009. 172:729-748 .
- Correction to ``Two simple approaches for validating a binary surrogate endpoint using data from multiple trials'' (2008V17 p505-514). Statistical Methods in Medical Research 2009. 18:227-227 .
- Randomized trials for the real world: Making as few and as reasonable assumptions as possible. Statistical Methods in Medical Research 2008. 17:243-252 .
- Two simple approaches for validating a binary surrogate endpoint using data from multiple trials. Statistical Methods in Medical Research 2008. 17:505-514 .
- Estimating efficacy in a proposed randomized trial with initial and later non-compliance. Journal of the Royal Statistical Society: Series C (Applied Statistics) 2007. 56:211-221 .
- Genes, cancer, and twins: The statistics behind the headlines. CHANCE 2007. 20:59-62 .
- Peirce, Youden, and Receiver Operating Characteristic Curves. The American Statistician 2007. 61:343-346 .
- The paired availability design: If you can't randomize, perhaps this applies. CHANCE 2006. 19:57-60 .
- A simple Meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpoint. Biostatistics (Oxford) 2006. 7:58-70 .
- Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates. Biostatistics (Oxford) 2006. 7:29-40 .
- Resolving paradoxes involving surrogate end points. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2005. 168:753-762 .
- Genetic susceptibility to prostate, breast, and colorectal cancer among nordic twins. Biometrics 2005. 61:55-63 .
- Simple maximum likelihood estimates of efficacy in randomized trials and before-and-after studies, with implications for meta-analysis. Statistical Methods in Medical Research 2005. 14:349-367 .
- A simple loglinear model for haplotype effects in a case-control study involving two unphased genotypes. Statistical Applications in Genetics and Molecular Biology 2005. 4:N/A-N/A .
- Statistics for weighing benefits and harms in a proposed genetic substudy of a randomized cancer prevention trial. Journal of the Royal Statistical Society: Series C (Applied Statistics) 2005. 54:941-954 .
- A sensitivity analysis for nonrandomly missing categorical data arising from a national health disability survey. Biostatistics (Oxford) 2003. 4:41-56 .
- Evaluating serial observations of precancerous lesions for further study as a trigger for early intervention†. Statistics in Medicine 2002. 21:2383-2390 .
- Evaluating serial observations of precancerous lesions for further study as a trigger for early intervention. Statistics in Medicine 2002. 21:2383-2390 .
- Comment on ``Addressing an idiosyncrasy in estimating survival curves using double sampling in the presence of self-selected right censoring'' (Pkg: p333-353). Biometrics 2001. 57:348-350 .
- Rethinking historical controls. Biostatistics (Oxford) 2001. 2:383-396 .
- Compliance subsampling designs for comparative research: Estimation and optimal planning. Biometrics 2001. 57:899-908 .
- Discussion of double sampling for survival analysis. Biometrics 2001. 57:348-350 .
- Identifying combinations of cancer markers for further study as triggers of early intervention. Biometrics 2000. 56:1082-1087 .
- Analyzing a randomized cancer prevention trial with a missing binary outcome, an auxiliary variable, and all-or-none compliance. Journal of the American Statistical Association 2000. 95:43-50 .
- Analysis of survival data from a randomized trial with all-or-none compliance: Estimating the cost-effectiveness of a cancer screening program. Journal of the American Statistical Association 1998. 93:929-934 .
- The partial testing design: A less costly way to test equivalence for sensitivity and specificity. Statistics in Medicine 1998. 17:2219-2232 .
- Multinomial-Poisson transformation. .
- Evaluating the age to begin periodic breast cancer screening using data from a few regularly scheduled screenings. Biometrics 1998. 54:1569-1578 .
- All-or-none compliance. .
- The analysis of categorical case-control data subject to nonignorable nonresponse. Biometrics 1996. 52:362-369 .
- Evaluating multiple diagnostic tests with partial verification. Biometrics 1995. 51:330-337 .
- Marginal regression for repeated binary data with outcome subject to non-ignorable non-response. Biometrics 1995. 51:1042-1052 .
- The multinomial-Poisson transformation. The Statistician: Journal of the Institute of Statisticians 1994. 43:495-504 .
- Composite linear models for incomplete multinomial data (Disc: p647-649). Statistics in Medicine 1994. 13:609-622 .
- Composite linear models for incomplete multinomial data. Statistics in Medicine 1994. 13:609-622 .
- The paired availability design: A proposal for evaluating epidural analgesia during labor (Corr: 95V14 p1841). Statistics in Medicine 1994. 13:2269-2278 .
- The paired availability design: A proposal for evaluating epidural analgesia during labor. Statistics in Medicine 1994. 13:2269-2278 .
- Regression analysis of grouped survival data with incomplete covariates: Nonignorable missing-data and censoring mechanisms. Biometrics 1994. 50:821-826 .
- Regression analysis of grouped survival data: Informative censoring and double sampling. Biometrics 1993. 49:379-389 .
- A score test for non-informative censoring using doubly sampled grouped survival data. Journal of the Royal Statistical Society, Series C: Applied Statistics 1993. 42:159-172 .
- The design of observer agreement studies with binary assessments. Statistics in Medicine 1993. 12:165-179 .
- A simple method for computing the observed information matrix when using the EM algorithm with categorical data (Corr: p180). Journal of Computational and Graphical Statistics 1992. 1:63-76 .
- Graphical representation of survival curves associated with a binary non-reversible time dependent covariate. Statistics in Medicine 1992. 11:455-474 .
- Obituary: Yohanan Wax, 1947-1991. The IMS Bulletin 1992. 21:6-6 .
- Closed-form estimates for missing counts in two-way contingency tables. Statistics in Medicine 1992. 11:643-657 .
- Evaluating a new test using a reference test with estimated sensitivity and specificity. Communications in Statistics: Theory and Methods 1991. 20:2739-2752 .
- Using replicate observations in observer agreement studies with binary assessments (Corr: 96V52 p1530). Biometrics 1991. 47:1327-1338 .
- Evaluating screening for the early detection and treatment of cancer without using a randomized control group. Journal of the American Statistical Association 1990. 85:321-327 .
- Two-process models for discrete-time serial categorical response. Statistics in Medicine 1988. 7:965-974 .
- Regression analysis for categorical variables with outcome subject to nonignorable nonresponse (Corr: V83 p1232). Journal of the American Statistical Association 1988. 83:62-69 .