Research
Mixed Models for Finite Populations
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Presentations

 

 

Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference (Presentation)
 
Synopsis :

We develop a linear unbiased predictor of the expected value of a first-stage sample unit (PSU) under simple random sampling with measurement error in a finite population.  The predictor is based on the expanded random variables which identify both unit and position.

 
Contents :
 
 
Print :
 
 
Author :

Stanek, E.J.III
Reviewer : none.

 
Related :
 

 

Developing Best Linear Unbiased estimator in Finite Population Accounting for Measurement Error Due to Interviewer (Presentation)
Synopsis :

Explore how to develoop Best Linear Unbiased Estimator in Finite Population Accounting for Interviewer Error in FPMM approach and Godambe's class of linear estimator. We also explore their connections.

Contents :
Abstract. Presented as defensing proposal at Bio/Epi department of Umass,August 29, 2008.
Print :
Author :

Ruitao Zhang and Stanek, E.J.III
Reviewer : none.

Related :

 

Rio Talk

 
Synopsis :

 

 
Contents :
 
 
Print :
 
 
Author :

Julio M. Singer and Stanek, E.J.III
Reviewer : none.

 
Related :
 
Interpreting variances in mixed models predictors with measurement errors (Presentation)
 
Synopsis :

Interpreting variances in mixed models predictors with measurement error. 

 
Contents :
International Statistical Institute Meetings, August 27, Lisboa Portugal.
 
Print :
 
 
Author :

Julio M. Singer and Stanek, E.J.III
Reviewer : none.

 
Related :
 

 

An approach to estimation and prediction with measurement error under simple random sampling (Presentation)
 
Synopsis :

We develop a linear unbiased predictor of the expected value of a first-stage sample unit (PSU) under simple random sampling with measurement error in a finite population.  The predictor is based on the expanded random variables which identify both unit and position.

 
Contents :
Abstract. Presented at the 10th Annual Research Day, Umass,March 29, 2007.
 
Print :
 
 
Author :

Ruitao Zhang and Stanek, E.J.III
Reviewer : none.

 
Related :
 

 

Covariate adjustment may not be better: thresholds of relative risk for reductions in MSE (Presentation)
 
Synopsis :
Adjusted rates should not be used in all settings, and in particular, not when both RRs and sample sizes are small.
 
Contents :
Abstract. Presented at the International Biometric Society Eastern North American Region 2006 Meetings, Tampa, Florida, March 26-29, 2006.
 
Print :
 
 
Author :

Li, W. and Stanek, E.J.III
Reviewer : none.

 
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Predicting treatment means in a one-way factorial design based on a potential observable random variable framework (presentation)
 
Synopsis:
We refer to the predictors of the realized treatment level mean as the best linear unbiased predictors. Comparison of the expected MSE of these predictors with the simple sample treatment group mean illustrates the advantage of this approach.
 
Contents :
Abstract. Presented at the International Biometric Society Eastern North American Region 2006 Meetings, Tampa, Florida, March 26-29, 2006.
 
Print :
 
 
Author :
Xu, B. and Stanek, E.J.III
Reviewer: none
 
Related :
 

 

Predicting realized cluster means in unequally sized cluster populations (presentation)
 
Synopsis :
We develop design-based predictors for unequally sized clustered finite populations based on two stage sampling. Such predictors can be closely related to those in balanced designs and outperform their mixed model counterparts.
 
Contents :
Abstract . Presented at the International Biometric Society Eastern North American Region 2006 Meetings, Tampa, Florida, March 26-29, 2006.
 
Print :
 
 
Author :
Stanek, E.J.III and Singer, J.M.
Reviewer : none.
 
Related :
 

 

When BLUPs are BAD
 
Synopsis :
We contrast the usual mixed model BLUPs with predictors of random effects based on random permutation models, illustrating the superior performance of the latter.
 
Contents :
Abstract . Presented at the International Biometric Society Eastern North American Region 2004 Meetings, Pittsburgh, PA. March 28-31, 2004.
 
Print :
13 pages; 3/2004 (pdf, 121 k)
 
Author :
Stanek, E.J.III, Singer, J.M., Reed, G., and Li, W.; Reviewer : none.
 
Related :
 

 

Predicting random Effects in Group randomized trials
 
Synopsis :
We discuss mixed models used in prediction of realized random effects, applied to group randomized trials.
 
Contents :
Presented at the Department of Biostatistics Seminar Series, Yale Medical School October 7, 2003.
 
Print :

26 pages; (pdf 285k)

 
Author :
Stanek, E.J.III

 

Predicting Random Effects of Realized Clusters in Finite Populations
 
Synopsis :
We discuss mixed models used in prediction of realized random effects in finite populations.
 
Contents :
Presented at the International Biometric Society Eastern North American Region 2003 Meetings, Tampa, Flordia. March 31, 2003.
 
Author :
Stanek, E.J.III ; Singer, J.D.

 

What are mixed models? Whay are they used? An introduction.
 
Synopsis :
We discuss the ideas behind fixed and random effects, and introduce and motivate mixed models and prediction of realized random effects in finite populations.
 
Contents :
Seminar in the Dept. of Public Health, UMASS, Amherst, Nov. 15, 2002.
 
Author :
Stanek, E.J.III

 

Understanding Predictors of realized random Effects in Mixed Models
 
Synopsis :
We discuss mixed models used in prediction of realized random effects in finite populations.
 
Contents :
Presented at the Department of Statistics, University of Sao Paulo, Sao Paulo, Brazil, 12/6/2002.
 
Print :

 

 
Author :
Stanek, E.J.III

 

Estimating Cluster Means in Finite Population Two-stage Clustered Designs
 
Synopsis :
We discuss estimates of cluster means in a two stage random permutation model that corresponds to usual two stage finite population sampling. While the balanced case is straight-forward, the unbalanced setting is more complicated. We develop two possible solutions based on reducing the dimension of the underlying data, and illustrate their use.
 
Contents :
Abstract and draft Manuscript. Presented at the International Biometric Society Eastern North American Region 2002 Meetings, Washington D.C. March 17-20, 2002.
 
Print :
40 pages; 11/15/01; c01ed37.pdf
 
Author :
Stanek, E.J.III and Singer, J.M.; Reviewer : none.
 
Related :
 

 

Much ado about nothing: the mixed models controversy revisited.
 
Synopsis :
We revisit the classic mixed model, and discuss the controversy about testing for random block effects. We resolve this controversy using two model definitions by focusing attention on the definition of a block effect.
 
Contents :
Poster, Slides, and Manuscript. Presented at the VIII Congreso Latinoamericano de Probabilidad y Estadistica Matematica, La Havana, Cuba. Nov 15, 2001.
  13 pages; 11/15/01; Controver3v4.pdf
 
Author :
Lencina, V., Singer, J.M., and Stanek, E.J.III; Reviewer : none.
 
Related :
 

 

Optimal Estimation in A Simple Random Sampling Model
 
Synopsis :
We investigate a random permutation model for simple random sampling using an expanded population framework, and discuss estimation problems of relevance including the mean, the value for a position in the permutation, and the value for a realized subject.
 
Contents :
Poster and Slides. Presented at the VIII Congreso Latinoamericano de Probabilidad y Estadistica Matematica, La Havana, Cuba. Nov 15, 2001.
  12 page; 11/15/01;
 
Author :
; Reviewer : none.
 
Related :
 


Using the Web for Teaching with Research
 
Synopsis :
We describe two web sites developed for research projects with an eye fir their use in teaching.
 
Contents :
Abstract.
  1 page; 11/14/00; sea00d4.doc
 
Author :
Eds Stanek, Ira Ockene, Arnold Well; Reviewer : none.
 
Related :
 


Estimating Realized Random Effects in Mixed Models
 
Synopsis :
We use a two stage random permutation model to represent two stage cluster sampling and estimate cluster means.
 
Contents :

Presentation (22 pages, 3/23/01 c01e21.pdf)
Draft Manuscript (20 pages, 3/20/01 c01ed20.doc)

  1 page abstract; 3/21/01; c01ed20a.doc
 
Author :
Ed Stanek and Julio Singer; Reviewer : none.
 
Related :
 

 


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