Melanie M. Wall
Associate Professor
McKnight Presidential Fellow
Division of Biostatistics
I received a Ph.D. (1998) and M.S. (1995) from the Department of
Statistics at Iowa State
University, and a B.S. (1993) in mathematics from Truman State University. My research
interests are in latent variable analysis, in particular, using
structural equations to model nonlinear relationships among variables
that are not directly observable. I also am working on methods in
spatial data analysis and longitudinal data analysis that can be used
to improve the analysis of Department of Health data.
Courses
- PubH 7435/8435- Latent Variable Modeling and Path Analysis
(Fall 2007)
-
PubH 5450- Biostatistics I. (Fall 2003)
- PubH 5414- Biostatistical
Methods I.
(Spring 2002)
- PubH 8436-Spatial
Biostastics. (Spring 2001)
Selected research papers... (Note, a link to the Research Reports mentioned
below is here)
- Papers on nonlinear structural equation models and other latent
variable models
- Nonlinear SEM Programs
- Wall, M.M. and Amemiya, Y, (2000) "Estimation for polynomial
structural equation models". JASA, 95, 929-940.
- Wall, M.M. and Amemiya, Y, (2001) "Generalized appended
product indicator procedure for nonlinear structural equation analysis". Journal of Educational and Behavioral
Statistics, 26, 1-29.
- Wall, M.M. and Amemiya, Y, (2003) "A method of
moments technique for fitting interaction effects in structural
equation models", British Journal of Mathematical and Statistical Psychology, 56, 47-64.
- Wall, M.M. and Li, R. (2003)
"A Comparison of Multiple Regression to Two
Latent Variable Techniques for Estimation and Prediction", Statistics in Medicine, 22, 3671-3685. SAS programs for performing analysis in this paper here
- Guo, J. Wall, M.M., and Amemiya, Y. (2006) "Latent class regression on latent factors", Biostatistis, 7, 1, pp. 145-163.
- Wall M.M. and Amemiya, Y. (2007)
"A review of nonlinear factor analysis and nonlinear structural equation modeling" In Factor Analysis at 100: Historical Developments and Future Directions, eds. Robert Cudeck and Robert C. MacCallum, Chapter 16 pp 337-362, Lawrence Erlbaum Associates.
- Wall M.M. and Amemiya, Y. (2007) "Nonlinear structural equation modeling as a statistical method" In Handbook of Latent Variable and related Models, ed Sik-Yum Lee, Chapter 15, 321-344, Elsevier, The Netherlands.
- Wall MM (2008) Maximum likelihood and Bayesian estimation for nonlinear structural equation models, to appear in the Handbook of Quantitative Methods in Psychology eds Roger Millsap and Albert Maydeu-Olivares. Available at Research Report 2007-021, Division of Biostatistics, University of Minnesota, 2007.
- Papers on spatial data modelling
- Wang, F., and Wall, M.M. (2003)
"Generalized Common Spatial Factor Model" Biostatistics 4(4), 569-582.
pdf version of paper
- Wang, F. and Wall, M.M.
"Modelling multivariate data with a common spatial factor"
Research Report No. 2001-008, Division of Biostatistics, University of Minnesota, Minneapolis, MN.
- Wang, F., and Wall, M.M. (2003)
"Incorporating Parameter Uncertainty into Prediction Intervals for
Spatial Data Modeled via a Parametric Variogram", JABES, 8, Vol. 3., 1-14.
- Banerjee, S., Wall, M.M., and Carlin, B.P. (2003)
"Frailty Modeling for Spatially Correlated Survival Data, with
Application to Infant Mortality in Minnesota", Biostatistics, 4, 123-143.
- Wall, M.M. (2004)
"A close look at the spatial correlation structure implied by
the CAR and SAR models" Journal of Statsitical Planning and Inference Vol 121, 2, 311-324.
- Zhao, Y. and Wall, M.M. (2004) ``Investigating the use of the
variogram for lattice data''
Journal of Computational and Graphical Statistics, 13(3)
, 1-20.
- Liu X, Wall MM, Hodges JS (2005)
"Generalized spatial structural equation modeling" Biostatistics, 6: 539-557.
- Wall MM and Liu X (2008) ``Spatial Latent Class Analysis Model for Spatially Distributed Multivariate Binary Data" Available at
Research Report 2008-007, Division of Biostatistics, University of Minnesota, 2008.
- The following is a power point presentation
given at the Minnesota Maternal and Child Health Institute:
Addressing Health Disparities Conference, June 27, 2002:
Using geographic information in the
analysis of Public Health data
- Other statistical methodology papers and reviews
- Wall, M.M., Boen, J. and Tweedie, R. L. (2001) "An effective CI
for the mean with samples of size 1 and 2",
The American Statistician, 55, No. 2, 102-105.
- Pan, W. and Wall, M.M. (2002) "Small-Sample Adjustments in Using
the Sandwich Variance Estimator in Generalized Estimating
Equations" Statistics in Medicine, 21, No. 10,
1429-1441.
- Wall, M.M. (2004) "Adjusting SIDS rates by seasonality in births
in Minnesota", Statistics in Medicine, 23(13): 2037-2048.
- Wall, M.M. (2004) Review of "Introduction to Applied Statistics: A Modelling Approach, 2nd Edition by Lindsey"
Statistics in Medicine 23(22)
- Wall, M.M., Dai, Y., Eberly, L.E. (2005) "GEE Estimation of a
Mis-specified Time-varying Covariate in Poisson Regression with Many
Observations" Statistics in Medicine, 24:925-939.
- Friedman L, Wall MM. (2005) "Graphical views of suppression and multicollinearity in mul-
tiple linear regression", The American Statistician, vol. 59, no. 2, pp. 127 - 136.
Splus program for producing graphs in this paper here prepared by Lynn Friedman.
- Other collaborative papers in Public Health
Advising.....
Former students who I have had the opportunity to work with for
their MS or PhD in Biostatistics.
Some links....
Melanie Wall
email:
melanie@biostat.umn.edu
phone: (612) 625-2138; fax: (612) 626-0660
snail mail:
School of Public Health
A460 Mayo Building, Box 303
420 Delaware Street S.E.
Minneapolis MN 55455
