Research
Mixed Models for Finite Populations
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Unpublished Papers

Publications- Published/In Press

Li, W., Stanek, E.J. III, and Bertone-Johnson, E.R. (2008). Should adjustement for covariates be used in prevalence estimations? Epidemiologic Perspectives and Innovations 5(2)  doi:10.1186/1742-5573-5-2. (pdf 304k)

Stanek, E.J. III and Singer, J.D. (2008) Predicting random effects with an Expanded Finite Population Mixed Model, in press in Journal of Statistical Planning and Inference (28pp. c07ed47v6.doc, pdf 193k ) (see Details)


Lencina, V., Singer, J.M., and Stanek, E.J.III. (2007) "What is the mixed model controversy?: reply to J.A. Nelder" , International Statistical Review. (pdf 81k)
San Martino, S., Singer, J.D.M., and Stanek, E.J. III. (2007) "Performance of balanced two-stage empirical predictors of realized cluster latent values from finite populations: A simulation study," Comput. Statist. Data Anal. (2007), doi: 10.1016/j.csda.2007.07.013. (pdf 705k) (figs 746k) (SAS codes 13k)

Lencina, V., Singer, J.M., and Stanek, E.J.III. (2005) "Much ado about nothing: the mixed models controversy revisited", International Statistical Review. 73:9-20. (pdf 134k ) (fig1 17k; fig2 17k; fig3 17k; fig4 17k)

Stanek, E.J.III and Singer, J.M. (2004). "Predicting Random Effects from Finite population clustered samples with response error," Journal of the American Statistical Association, 99(468):pp1119-1130. (pdf 277k )


Stanek, E.J.III (2004) Predicting Random Effects in Group Randomized Trials, Encyclopedia of Group Randomized Trials, in press (pdf 198k)
Stanek, E.J. III (2004) Final Report: Improving Analysis Methods for Cluster Randomized Primary Prevention Trials (5R01-HD36848) (pdf 218k) 18 pages.
Stanek, E.J. III, Singer, J.M. and Lencina, V.B. (2004). "A unified approach to estimation and prediction under simple random sampling." Journal of Statistical Planning and Inference, 121:325-338. (pdf 267k) (see Details )
Lu, J. (2004). Estimating parameters when considering the unobserved units as missing values in simple random sampling. Master of Science Thesis, Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst (pdf 420k)
Li, W. (2003). Use of Random Permutation Model in Rate Estimation and Standardization, Ph.D. Thesis, Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst (pdf 967k)
Stanek, Well & Ockene (1999) : "Why Not Rutinely Use Best Linear Unbiased predictors (BLUPs) as Estimates of Cholesterol, Per Cent Fat from Kcal and Physical Activity ?" Statistics in Medicine 18. Abstract : Paper

Publications- In Press


Lu, J., Stanek, E.J. III, and Puleo, E. (2010) “Estimating the population mean from a simple random sample when some responses are missing,” in press in the Brazilian Journal of Probability and Statistics.


Publications- Submitted/Under Review


Li, W. Stanek, E.J.III, and Singer, J.D.M. (revised 7/16/2009). “Design-based random permutation models with auxiliary information",” to Statistics. (pdf 218k) [Other reviews: 04ref1, 04ref2, 05ref1, 05ref2]


Stanek, E. J. III and Singer, J.M. (11/19/2009) “Sampling, WLS and Mixed Models,” submitted to Statistics in Biopharmaceutical Research (pdf 206k)

 


Unpublished Manuscripts with previous reviews

Stanek, Lencina, Singer, Gonzalez, Li, and San Martino, "Linking Design-Based and Model-Based Predictors via a Partially Conditional Random Permutation Model" Submitted to Biometrika 9/7/2006. (pdf, coverletter) [Other reviews: JASA1, JRSS1, JRSS2]


Singer, J.M., Stanek, E.J. III, Lencina, V.B., Gonzalez, L.M., Li, W., and San Martino, S.S. (2009) Prediction with measurement errors: do we really understand the BLUP? Submitted to Statistics in Medicine (pdf 200k)) Review.


González, L.M., Singer, J.M., and Stanek, E.J. III. (2008). Estimation of finite population parameters with auxiliary information and response error,  Submitted to the Journal of Statistical Planning and Inference. (pdf 736k) Review


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