Some Publications:

Daniels, M.J., Roy, J., Kim, C., Hogan, J.W., and Perri, M.G. (2012) Bayesian Inference for the Causal Effect of Mediation. To appear in Biometrics. [pdf] [supp materials pdf]

Wang, Y. and Daniels, M.J. (2012) Bayesian modeling of the dependence in longitudinal data via partial autocorrelations and marginal variances. Submitted. [pdf] web appendix [pdf]

Wang, Y. and Daniels, M.J. (2012) Estimating Large Correlation Matrices by Banding the Partial Autocorrelation Matrix. Submitted. [pdf] web appendix [pdf]

Gaskins, J. and Daniels, M.J. (2012) A Nonparametric Prior for Simultaneous Covariance Estimation. Submitted. [pdf] web appendix [pdf]

Lee, K., Daniels, M.J, Joo, Y. and Shorr, R. (2011) Marginalized Transition Models for the Analysis of Longitudinal Count Data with Application to Two Clinical Trials. Submitted. [pdf]

Li, N, Daniels, M.J., Li, G. and Elashoff, R. (2012) An exploration of fixed and random effects selection for longitudinal binary outcomes in the presence of non-ignorable dropout. Submitted. [pdf] [Documentation for code] [C code] [sample response data] [sample missingness]

Daniels, M.J., Chatterjee, A., and Wang, C. (2012) Bayesian model selection for incomplete longitudinal data using the posterior predictive distribution. To appear in Biometrics. [pdf] web appendix [pdf]

Bhadra, D., Daniels, M.J., Kim, S., Ghosh, M., Mukherjee, B. (2012) A Bayesian semiparametric approach for incorporating longitudinal information on exposure history for inference in case-control studies. Biometrics. [pdf] web appendix [pdf]

Wang, C. and Daniels, M.J. (2011) A Note on MAR, Identifying Restrictions, and Sensitivity Analysis in Pattern Mixture Models With and Without Covariates for Incomplete Data. Biometrics. [pdf] web appendix [pdf]

Yang, Y., Halloran, M.E., Daniels, M.J. and Longini, I.M. (2010) Modeling Competing Infectious Pathogens from a Bayesian Perspective: Application to Influenza Studies with Incomplete Laboratory Results. Journal of the American Statistical Association [pdf]

Wang, C., Daniels, M.J., Scharfstein, D.O., and Land, S. (2010) A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data with Application to the Breast Cancer Prevention Trial. Journal of the American Statistical Association [pdf]

Lee, K., Daniels, M.J., and Sargent, D. (2010) Causal effects of treatment for informative missing data due to progression/death. Journal of the American Statistical Association [pdf] web appendix [pdf]

Daniels, M.J., Pourahmadi, M. (2009) Modeling covariance matrices via partial autocorrelations. Journal of Multivariate Analysis. [pdf]

Daniels, M.J., Wang, C. (2009) Discussion of "Missing data methods in longitudinal studies: a review" by Ibrahim and Molenberghs. TEST. [pdf]

Liu, X., Daniels, M.J., and Marcus, B. (2009) Joint models for the association of longitudinal binary and continuous processes with application to a smoking cessation trial. Journal of the American Statistical Association [pdf] web appendix [pdf]

Botts, C., Daniels, M.J. (2008) A flexible approach to Bayesian multiple curve fitting. Computational Statistics and Data Analysis. [pdf]

Lee, K. and Daniels, M.J. (2008) Marginalized random effects models for longitudinal ordinal data. Statistics in Medicine. [pdf]

Roy, J. and Daniels, M.J. (2008) A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times. Biometrics. [pdf]

Lee, K. and Daniels, M.J. (2007) A class of Markov models for longitudinal ordinal data. Biometrics. [pdf], web appendix [pdf]

Ilk, O. and Daniels M. (2007) Marginalized transition random effects models for multivariate longitudinal binary data. Canadian Journal of Statistics. [pdf], web appendix [pdf]

Pourahmadi, M, Daniels M, and Park, T. (2007) Simultaneous Modelling of the Cholesky Decomposition of Several Covariance Matrices with Applications. Journal of Multivariate Analysis. [pdf]

Liu, X. and Daniels, M.J. (2006) A new algorithm for simulating a correlation matrix based on parameter expansion and re-parameterization. Journal of Computational and Graphical Statistics. [pdf]

Scharfstein, D.O., Halloran, M.E., Chu, H., and Daniels M.J. (2006) On estimation of vaccine efficacy using validation samples with selection bias. Biostatistics. [pdf] supplementary material [pdf]

Daniels M. (2006) Bayesian modeling of several covariance matrices and some results on propriety of the posterior for linear regression with correlated and/or heterogeneous errors. Journal of Multivariate Analysis. [pdf]

Botts, C. and Daniels M. (2006) A shrinkage estimator of spectral densities. Biometrika. [pdf] web appendix [pdf]

Daniels M, Zhou, Z, and Zou, H. (2006) Conditionally specified space-time models for multivariate processes. Journal of Computational and Graphical Statistics. [pdf]

Daniels M. and Normand, S-L (2006) Longitudinal profiling of health care units based on mixed multivariate patient outcomes. Biostatistics. [pdf]

Daniels M (2005) Shrinkage priors for dependence in temporal data. Journal of Statistical Planning and Inference. [email mdaniels@stat.ufl.edu for a copy].

Daniels M, Dominici F, Zeger, S. (2004) Underestimation of standard errors in multi site time series studies. Epidemiology. [email mdaniels@stat.ufl.edu for a copy].

Scharfstein D, Daniels M, Robins J. (2003) Incorporating prior beliefs about selection bias into the analysis of randomized clinical trials with missing outcomes. Biostatistics.[email mdaniels@stat.ufl.edu for a copy].

Daniels, M., Zhao, Y. (2003) "Modelling the random effects covariance matrix in longitudinal data", Statistics in Medicine. [email mdaniels@stat.ufl.edu for a copy].

Daniels, M., Pourahmadi, M. (2002) "Bayesian analysis of covariance matrices and dynamic models for longitudinal data", Biometrika. [email mdaniels@stat.ufl.edu for a copy].

Pourahmadi, M., Daniels, M. (2002) "Dynamic conditionally linear mixed models," Biometrics. [email mdaniels@stat.ufl.edu for a copy].

Daniels, M., Kass, R. (2001) "Shrinkage estimators for covariance matrices", Biometrics. [email mdaniels@stat.ufl.edu for a copy]

Daniels, M., Lee, Y, Kaiser, M. (2002) "Assessing sources of variability in measurment of ambient particulate matter", Environmetrics.[email mdaniels@stat.ufl.edu for a copy]

Kaiser, M., Daniels, M., Furakawa, K., Dixon, P. (2002) Analysis of particulate matter air pollution using markov random field models of spatial dependence. Environmetrics. [email mdaniels@stat.ufl.edu for a copy]

Daniels M, Dominici F, Samet J., Zeger, S. (2000) Estimating PM$_{10}$-mortality dose-response curves and threshold levels: An analysis of the 20 largest U.S. cities (with commentary). American Journal of Epidemiology.

Dominici, F., Daniels, M., Zeger S., Samet J. (2002) National models for estimating the effect of particulate matter on mortality in U.S. cities. JASA. [email mdaniels@stat.ufl.edu for a copy]

Carriquiry A., Daniels M. (2001) Adjusting for measurement error of a dietary risk factor in age-related maculopathy. ISBA Proceedings.

Hogan J., Daniels M. (2001) "A hierarchical model for longitudinal measurements with outcome-dependent dropout and noncompliance." Applied Statistics (JRSS-C). [email mdaniels@stat.ufl.edu for a copy]

Daniels, M., Hogan, J. (2000) "A new parameterization for pattern mixture models with informative dropout", Biometrics.

Devlin, B., Daniels, M., Roeder, K. (1997) "Heritability of IQ" Nature: July 31. [email bdevlin@stat.cmu.edu for a copy]

Daniels, M. (1999) "A prior for the variance in hierarchical models," Canadian Journal of Statistics . [postscript]

Daniels, M., Cressie, N. (2001) "A hierarchical approach to covariance function estimation for time series," Journal of Time Series Analysis. [postscript]

Daniels, M., Gatsonis C. (1999) "Hierarchical generalized linear models for health services research" Journal of American Statistical Association. [postscript]

Daniels, M. (1998) "Computing posterior distributions for covariance matrices" Interface 98 Proceedings . [postscript]

Daniels MJ, Kass RE. (1999) "Nonconjugate Bayesian Estimation of Covariance matrices and its use in hierarchical models" Journal of the American Statistical Association. Abstract

Daniels MJ, Kass RE. (1998) "A note on first stage approximations in two stage hierarchical models" (Sankhya) Abstract

Daniels, M.J. and Hughes, M.D. (1997) "Meta-analysis for the Evaluation of Potential Surrogate Markers," Statistics in Medicine. 16:1965-1982. [email mdaniels@stat.ufl.edu for a copy]

Daniels, M.J. and Gatsonis, C.A. (1997). "Hierarchical Polytomous Regression Models with Applications to Health Services Research", Statistics in Medicine. 16: 2311-2325. [email mdaniels@stat.ufl.edu for a copy]