Selected Publications
As of Jan 5, 2009
Albert, P.S., McFarland, H.F., Smith, M.E., and Frank, J.A.
Time series for counts from a relapsing-remitting disease: application
to modeling the disease course in multiple sclerosis. Statistics in
Medicine 13: 453-466, 1994.
Albert, P.S. A Markov model for sequences of ordinal data
from a relapsing-remitting disease. Biometrics 50, 51-60,
1994.
Albert, P.S. and McShane, L.M. A generalized estimating
equations approach for spatially correlated binary data: with an
application to the analysis of neuroimaging data. Biometrics
51: 627-638, 1995.
McShane, L.M., Albert, P.S., and Palmatier, M. A latent
processes regression for spatially correlated counts. Biometrics
53: 1116-1124, 1997.
Albert, P.S., Follmann, D.A., and Barnhart, H.X. A
generalized estimating equation approach for modeling random-length
binary vector data. Biometrics 53: 1116-1124, 1997.
Albert, P.S., Hunsberger, S.A., and Biro, F. Modeling
repeated measures with monotonic ordinal response and misclassification
error, with applications to studying maturation. Journal of the
American Statistical Association 92: 1304-1312, 1997.
Albert, P.S. and Waclawiw, M.A. A two state Markov chain for
heterogeneous transitional data: a quasi-likelihood approach. Statistics
in Medicine 17: 1481-1493, 1998.
Follmann, D.A. and Albert, P.S. Bayesian monitoring of event
rates with censored data. Biometrics 55, 603-607, 1999.
Albert, P.S. A mover-stayer model for longitudinal marker
data. Biometrics 55, 1252-1257, 1999.
Shih, J.H. and Albert P.S. A latent model for correlated
binary data with diagnostic error. Biometrics 55, 1232-1235, 1999.
Follmann, D.A., Hunsberger, S.A., and Albert, P.S. Repeated
probit regression when covariates are measured with error. Biometrics
55, 603-607, 1999.
Albert, P.S. Tutorial in Biostatistcs: Longitudinal data
analysis (repeated measures) in clinical trials. Statistics
in Medicine18, 1707-1732, 1999.
Albert, P.S. A transitional model for longitudinal
binary data subject to nonignorable missing data. Biometrics 56,
602-608, 2000.
Albert, P.S. and Follmann, D.A. Modeling longitudinal count
data subject to informative dropout. Biometrics 56,
667-677,2000
Wu, M.C., Albert, P.S., and Wu, B.U. Adjusting for dropout
in clinical trials with repeated measures: design and analysis issues.
Statistics in Medicine 20, 93-108, 2001.
Albert, P.S., McShane, L.M., Shih, J.H. and the U.S.
National Cancer Institute (NCI) Bladder Tumor Marker Network. Latent
class modeling approaches for assessing diagnostic error without a gold
standard: with applications to p53 immunohistochemical assays in
bladder tumors. Biometrics 57, 610-619,2001.
Albert, P.S., Ratnasinghe, D., Tangrea, J., and Wacholder,
S. Limitations of the case-only design for identifying
gene-environment interactions. The American Journal of Epidemiology
154, 687-693,2001.
Hunsberger, S., Albert, P.S., Follmann, D.A., and Suh, E.
Parametric and semiparametric approaches to testing for seasonal trend
in serial count data. Biostatistics 3, 289-298, 2002.
Albert, P.S., Follmann, D.A., Wang, S.A., and Suh, E.B. A
latent autoregressive model for longitudinal binary data subject to
nonignorable missingness. Biometrics 58, 631-642, 2002.
Albert, P.S., McShane, L.M., and Korn, E.L. The design of a
binary biomarker study from the results of a pilot reproducibility
study. Biometrics 58, 576-585, 2002.
Wu, M., Borkowf, C, and Albert, P.S. The analysis of
longitudinal quality of life data with informative dropout. Statistical
Design, Measurement and Analysis of Health Related Quality of Life. Edited
by Mounir Mesbah, Bernard Cole, and Mei-ling Ting Lee. Kluwer Academic
Publishers, 2002.
Albert, P.S. and Borkowf, C. An introduction to
biostatistics: randomization, hypothesis testing, and sample
size. Principles and Practice of Clinical Research. Edited
by John Gallin. Academic Research, 2002.
Albert, P.S. and Follmann, D.A. A random effects transition
model for binary longitudinal data with informative missingness.
Invited paper in a special volume: Incomplete Data: imputation and
model based approaches. Statistica Neerlandica 57,
100-111, 2003.
Borkowf, C.B., Albert, P.S., and Abnet, C.C. Using lowess to
remove systematic trends in predictor variables before logistic
regression with quantile-categories. Statistics in Medicine
22,1477-1494, 2003.
Albert, P.S and Shih,
J.H. Modeling tumor growth with random onset. Biometrics 59,
897-906, 2003.
Albert, P.S. and Wu, M.C. Longitudinal data analysis with
missingness. Contemporary Issues in Clinical Trials. Editor:
Nancy Geller. Marcel Decker, 2004.
Albert, P.S. and Dodd, L. A cautionary note on the
robustness of latent class models for estimating diagnostic error
without a gold standard. Biometrics 60, 427-435, 2004.
Albert, P.S., Hunsberger, S.A., Hu, N., and Taylor, P.
Identifying multiple change points in heterogeneous binary data with an
application to molecular genetics. Biostatistics 5, 515-529, 2004.
Albert, P.S. Longitudinal data analysis (repeated measures)
in clinical trials. Tutorials in Biostatistics: Volume I.
Editor: R.B. D'Agostino. Wiley Press, 2004.
Albert, P.S. Missclassification Models. Encylopedia of
Biostatistics, 2nd Edition. Editors: Peter Armitage and Theodore
Colton, Wiley Press, 2005.
Korn, E.L., Albert, P.S.,
and McShane, L.M. Assessing surrogates as trial endpoints using mixed
models. Statistics in Medicine 24, 163-182.
Albert, P.S. and Shen J. Modeling longitudinal semi-continuous emesis
volume data with serial correlation in an acupuncture clinical trial.
Journal of the Royal Statistical Society: Series C:
Applied Statistics 54, 707-720, 2005.
Albert, P.S. On the interpretation of marginal inference
with a mixture model for clustered semi-continuous data. Biometrics
61, 879-880, 2005.
Albert, P.S. and Hunsberger, S. On analyzing circadian rhythm data
using non-linear mixed models with harmonic terms. Biometrics
61, 1115-120, 2005.
Borkowf, C.B. and Albert, P.S. Efficient estimation of risk of a
disease by quantile-categories of a predictor variable using
generalized additive models. Statistics in Medicine 24,
623-645, 2005.
Albert, P.S. and Follmann, D.A. Random effects and latent process
approaches for longitudinal binary data with missingness: With an
application to the analysis of opiate clinical trial data. Statistical
Methods in Medical Research 18, 417-439, 2007.
Johnson, L.L., Borkowf, C, Albert, P.S.. An
introduction to biostatistics: randomization, hypothesis testing, and
sample size. Principles and Practice of Clinical Research,
2nd Edition . Edited by John Gallin. Academic Research, 2007
Albert, P.S. Imputation approaches for estimating diagnostic accuracy
for multiple tests from partial verified designs. Biometrics
63, 947-957, 2007.
Albert, P.S. Random effects modeling approaches for estimating ROC
curves from repeated ordinal tests without a gold standard. Biometrics
63, 593-602, 2007.
Albert, P.S. and Dodd, L.E. On estimating diagnostic accuracy from studies with multiple raters and partial gold standard evaluation. Journal of the American Statistical Association 103, 61-73, 2008.
Albert, P.S. Modeling longitudinal biomarker data with multiple assays which have known detection limits. Biometrics 64, 527-537, 2008.
Albert, P.S. Estimating diagnostic accuracy of multiple binary tests with an imperfect reference standard. Statistics in Medicine Online Early DOI: 10.1002/sim.3514, 2008.
Albert, P.S. and Follmann, D.A. Shared random parameter models. In Longitudinal Data Analysis: A Handbook of Modern Statistical Methods. Edited by Garret Fitzmaurice, Marie Davidian, Geert Verbeke, and Geert Molenberghs. Chapman and Hall Press, 433-452, 2008.
Ghosh, P. and Albert, P.S. A Bayesian analysis for longitudinal semi-continuous data with an application to an acupuncture clinical trial. Computational Statistics and Data Analysis 53, 699-706, 2009.
Hunsberger, S., Albert, P.S., and London, W.B. A finite mixture survival model to characterize risk groups of neuroblastoma. In Press at Statistics in Medicine.
Albert, P.S. The analysis of categorical data in medical studies. In Medical Uses of Statistics, 3rd Edition. Editors: Bailar and Hoaglin, New England Journal of Medicine Press.
brb@linus.nci.nih.gov