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- Estimating peer effects in longitudinal dyadic data using instrumental variables. Biometrics 2014. 70:506-515 .
- Combining information from two data sources with misreporting and incompleteness to assess hospice-use among cancer patients: a multiple imputation approach. Statistics in Medicine 2014. 33:3710-3724 .
- A Comparison of Marginal and Conditional Models for Capture–Recapture Data with Application to Human Rights Violations Data. Biometrics 2013. 69:1022-1032 .
- Propensity score weighting with multilevel data. Statistics in Medicine 2013. 32:3373-3387 .
- Disclosure control using partially synthetic data for large-scale health surveys, with applications to CanCORS. Statistics in Medicine 2013. 32:4139-4161 .
- Diagnosing imputation models by applying target analyses to posterior replicates of completed data. Statistics in Medicine 2012. 31:1-18 .
- Comments on ``How uncertainty about privacy and confidentiality is hampering efforts to more effectively use administrative records in producing U.S. national statistics'' (Pkg: 2011V3 p3-100). The Journal of Privacy and Confidentiality 2011. 3:83-90 .
- Sampling from a Bayesian Menu. Statistical Science 2011. 26:235-237 .
- Gaussian-based routines to impute categorical variables in health surveys. Statistics in Medicine 2011. 30:3447-3460 .
- A zero- and K-inflated mixture model for health questionnaire data. Statistics in Medicine 2011. 30:1028-1043 .
- Using a short screening scale for small-area estimation of mental illness prevalence for schools. Journal of the American Statistical Association 2010. 105:1323-1332 .
- Adjusting for health status in non-linear models of health care disparities. Health Services and Outcomes Research Methodology 2009. 9:1-21 .
- Combining information from cancer registry and medical records data to improve analyses of adjuvant cancer therapies. Biometrics 2009. 65:946-952 .
- Combining inexactly-matched data sets to analyze end-of-life medical costs. .
- Domain-Level Covariance Analysis for Multilevel Survey Data With Structured Nonresponse. Journal of the American Statistical Association 2008. 103:1405-1418 .
- Using Calibration to Improve Rounding in Imputation. The American Statistician 2008. 62:125-129 .
- Reducing bias in parameter estimates from stepwise regression in proportional hazards regression with right-censored data. Lifetime Data Analysis 2008. 14:65-85 .
- Optimal sample allocation for design-consistent regression in a cancer services survey when design variables are known for aggregates. Techniques d'Enquête 2008. 34:71-86 .
- Meta-analysis of survey data: application to health services research. Health Services and Outcomes Research Methodology 2008. 8:98-114 .
- Optimal sample allocation for design-consistent regression in a cancer services survey when design variables are known for aggregates. Survey Methodology 2008. 34:65-78 .
- Here's to your health -- Misreporting, Missing data, and multiple imputation: Improving accuracy of cancer registry databases. CHANCE 2008. 21:55-58 .
- A model for estimating and imputing nonrespondent census households under sampling for nonresponse follow-up. Techniques d'Enquête 2006. 32:73-85 .
- Are finite population corrections appropriate when profiling institutions?. Health Services and Outcomes Research Methodology 2006. 6:153-156 .
- A model for estimating and imputing nonrespondent census households under sampling for nonresponse follow-up. Survey Methodology 2006. 32:65-76 .
- Confronting the data release requirement while maintaining confidentiality. .
- Using matched substitutes to improve imputations for geographically linked databases. Techniques d'Enquête 2005. 31:69-78 .
- Using matched substitutes to improve imputations for geographically linked databases. Survey Methodology 2005. 31:65-72 .
- Imputation of binary treatment variables with measurement error in administrative data. Journal of the American Statistical Association 2005. 100:1123-1132 .
- A multistate Markov chain model for longitudinal, categorical quality-of-life data subject to non-ignorable missingness. Statistics in Medicine 2005. 24:2317-2334 .
- Privacy and the statistician: What do we need to know to certify nondisclosure?. .
- Implementation of cluster-level covariance analysis for survey data with structured nonresponse. .
- Practical suggestions on rounding in multiple imputation. .
- Chip Alexander and the American Community Survey. .
- Cluster-level factor analysis for survey data with structured nonresponse. .
- Racial disparities in the HEDIS measures of health care quality. .
- Using administrative records to predict census day residency. .
- Interactions between survey estimates and federal funding formulas. Journal of Official Statistics 2002. 18:371-391 .
- Comment on ``A note on the estimation of the multinomial logit model with random effects'' (2001V55 p89-95). The American Statistician 2002. 56:80-81 .
- Single observation unbiased priors. The Annals of Statistics 2002. 30:1345-1375 .
- Discussion: The 2000 census adjustment decision. .
- Using matched substitutes to improve imputations for geographically linked databases. .
- Imputation of binary responses with measurement error for treatments in health services data. .
- Using administrative records to predict census day residency. .
- Statistical issues in reporting quality data: Small samples and casemix variation. International Journal for Quality in Health Care 2001. 13:481-488 .
- Downweighting influential clusters in surveys: Application to the 1990 post enumeration Survey. Journal of the American Statistical Association 2001. 96:858-869 .
- An evaluation of state estimates produced by model-based reweighting of a national database. .
- Interactions between survey estimates and federal funding formulas. .
- Applying the Cox proportional hazards model when the change time of a binary time-varying covariate is interval censored. Biometrics 1999. 55:445-451 .
- Applying the Cox proportional hazards model when the change time of a binary time-varying covariate is interval censored. Biometrics 1999. 55:445-451 .
- Applying the Cox proportional hazards model for analysis of latency data with interval censoring. Statistics in Medicine 1999. 18:2737-2747 .
- Large numbers of estimates for small areas. .
- Sample allocation for overlapping domains in a physician survey with a limited population. Statistics in Medicine 1999. 18:935-946 .
- A hierarchical latent variable model for ordinal data from a customer satisfaction survey with ``no answer'' responses. Journal of the American Statistical Association 1999. 94:43-52 .
- A Markov chain Monte Carlo EM algorithm for analyzing interval-censored data under the Cox proportional hazards model. Biometrics 1998. 54:1498-1507 .
- Balancing disclosure risk against the loss of nonpublication. Journal of Official Statistics 1998. 14:411-419 .
- Model-based microsimulation estimates for states when state programs vary. .
- Modeling census mailback questionnaires, administrative records, and sampled nonresponse followup, to impute census nonrespondents. .
- Comment on papers on ``Small domain estimation -- Census Bureau income and poverty estimates for states and counties, 1993'' (Pkg: p177-191). .
- Reweighting households to develop microsimulation estimates for states. .
- Posterior predictive outlier detection using sample reweighting. .
- Case influence analysis in Bayesian inference. Journal of Computational and Graphical Statistics 1997. 6:314-331 .
- Case influence analysis in Bayesian inference. .
- Case influence analysis in Bayesian inference. .
- Survival analysis in S-plus. .
- Comment on ``A Bayesian approach to designing U.S. census sampling for reapportionment''. Journal of Official Statistics 1996. 12:95-100 .
- Variance estimation in microsimulation models of the food stamp program. .
- Estimating a population roster from an incomplete census using mailback questionnaires, administrative records, and sampled nonresponse followup (Disc: p549-550). .
- An empirical Bayes model for Markov-dependent binary sequences with randomly missing observations. Journal of the American Statistical Association 1995. 90:1364-1372 .
- Discussion of ``Sampling and estimation in the census''. .
- Error analysis of food stamp microsimulation models: Further results. .
- A model for imputing nonsample households with sampled nonresponse follow-up. .
- Comment on ``Multiple-imputation inferences with uncongenial sources of input''. Statistical Science 1994. 9:563-565 .
- Models for imputing nonsample households with sampled nonresponse follow-up. .
- [Multiple-Imputation Inferences with Uncongenial Sources of Input]: Comment: Using the Full Toolkit. Statistical Science 1994. 9:563-565 .
- Single observation unbiased priors. .
- Using ethnographic data to evaluate dual system estimates. .
- Triple-system modeling of census, post-enumeration survey, and administrative-list data. Journal of Business & Economic Statistics 1993. 11:279-288 .
- Combining census, dual-system, and evaluation study data to estimate population shares. Journal of the American Statistical Association 1993. 88:1092-1105 .
- Combining census and dual-system estimates of population (Disc: p184-186). .
- Hierarchical logistic-regression models for imputation of unresolved enumeration status in undercount estimation (Disc: p184-186). .
- Effect of movers on triple system estimation. .
- Composite estimators for multiple domains and information sources via hierarchical Bayes linear models and Gibbs sampling. .
- Combining census and dual-system estimates of population (Disc: p676-677). .
- Triple system modeling of Census, Post-Enumeration Survey, and administrative list data. .
- An overview of representing within-household and whole-household misenumerations in the census by multiple imputations. .
- Multiple-system methods for census coverage evaluation (Pkg: p639-676). .
- Multiple-system methods for census coverage evaluation. .
- Representing local area undercount by reweighting of households. .
- Representing local area adjustments by reweighting of households. Survey Methodology 1988. 14:265-288 .
- Representing local area adjustment by reweighting of households. .