Hedeker, D., Gibbons, R. D., Waternaux, C., & Davis, J. M. (1989). Investigating drug plasma levels and clinical
response using
random regression models.
Psychopharmacology Bulletin, 25, 227-231. (pdf
file)
Hedeker,
D., Gibbons, R. D., & Davis, J. M. (1991). Random regression models for multi-center
clinical trials data.
Psychopharmacology Bulletin, 27, 73-77. (pdf
file)
Hedeker, D., Gibbons, R. D., & Flay, B. R.
(1994). Random-effects regression models
for clustered data: with an
example from
smoking prevention research. Journal of
Consulting and Clinical Psychology, 62, 757-765. (pdf
file)
Hedeker,
D., & Gibbons, R. D. (1994). A random-effects ordinal regression model for multilevel analysis.
Biometrics,
50, 933-944. (pdf
file)
Hedeker,
D., McMahon, S. D., Jason, L. A., &
with an example
from a worksite smoking cessation project.
American Journal of Community Psychology, 22,
595-615. (pdf file)
Gibbons, R. D., Hedeker, D.,
Charles, S. C., & Frisch, P. R. (1994). A random-effects probit
model for predicting
medical malpractice
claims. Journal of the American
Statistical Association, 89, 760-767. (pdf
file)
Gibbons, R. D. & Hedeker,
D. (1994). Application of
random-effects probit regression models. Journal of Consulting
and Clinical
Psychology, 62, 285-296. (pdf
file)
Hedeker, D., Flay, B. R., & Petraitis,
J. (1996). Estimating individual
influences of behavioral intentions: an applicaton
of
random-effects modeling to the theory of reasoned action. Journal of Consulting and Clinical
Psychology, 64,
109-120. (pdf file)
Hedeker,
D. & Gibbons, R. D.
(1996). MIXOR:
a computer program for mixed-effects ordinal probit
and logistic
regression
analysis. Computer Methods and Programs
in Biomedicine, 49, 157-176. (pdf
file)
Hedeker,
D. & Gibbons, R. D. (1996). MIXREG: a computer program for
mixed-effects regression analysis with
autocorrelated
errors. Computer Methods and Programs in
Biomedicine, 49, 229-252. (pdf
file)
Hedeker, D., & Mermelstein,
R.J. (1996). Application of random-effects regression
models in relapse research.
Addiction,
91 (Supplement), S211-S229. (pdf
file)
Siddiqui, O., Hedeker,
D., Flay, B. R., Hu, F. B. (1996). Intraclass
correlation estimates in a school-based smoking
prevention study:
outcome and mediating variables, by gender and ethnicity. American Journal of Epidemiology, 144,
425-433. (pdf
file)
Hedeker, D., & Gibbons, R. D. (1997). Application of random-effects
pattern-mixture models for missing data in
longitudinal
studies. Psychological Methods, 2,
64-78. (pdf
file)
Gibbons, R. D. & Hedeker,
D. (1997). Random-effects probit and logistic regression models for three-level data.
Biometrics, 53, 1527-1537. (pdf
file)
Hedeker,
D., & Mermelstein, R. J. (1998). A multilevel thresholds of change
model for analysis of stages of change
data. Multivariate Behavioral Research, 33,
427-455. (pdf
file)
Hu,
F. B., Goldberg, J., Hedeker, D., & Henderson, W.
G. (1998). Modeling
ordinal responses from co-twin control
studies. Statistics in Medicine, 17, 957-970. (pdf
file)
Hu, F. B., Goldberg, J., Hedeker, D., Flay, B. R., & Pentz,
M. A. (1998). A comparison of
generalized estimating
equation and
random-effects approaches to analyzing binary outcomes from longitudinal
studies: illustrations from a smoking prevention study. American Journal of Epidemiology, 147,
694-703. (pdf
file)
Hedeker, D. (1998). MIXPREG: a computer program for mixed-effects
Poisson regression. Technical Report,
Public
Health,
Hedeker, D., Gibbons, R. D., & Waternaux, C. (1999). Sample size
estimation for longitudinal designs with attrition.
Journal of Educational and Behavioral
Statistics, 24, 70-93. (pdf
file) (computer program) (program description)
Hedeker,
D., Mermelstein, R. J., & Weeks, K. A. (1999). The thresholds of change model: an
approach to analyzing
stages of change
data. Annals of Behavioral Medicine, 21,
61-70. (pdf file)
Hedeker, D. (1999). MIXNO: a computer program for mixed-effects
nominal logistic regression. Journal of
Statistical
Software, 4,(5):1-92. (pdf
file)
Hedeker, D., Siddiqui,
O., & Hu, F. B. (2000). Random-effects regression analysis of
correlated grouped-time survival
data. Statistical Methods in Medical Research, 9,
161-179. (pdf
file)
Hedeker,
D. & Mermelstein, R. J. (2000). Analysis of longitudinal substance use
outcomes using ordinal random-effects
regression models.
Addiction, 95 (Supplement 3), S381-S394.
(pdf
file)
Gibbons, R. D., & Hedeker,
D. (2000). Application of
mixed-effects models in biostatistics. Sankhya, Series B, 62, 70-
103.
(pdf file)
Hedeker,
D. & Rose, J.S. (2000).
The natural history of smoking: a pattern-mixture random-effects
regression model.
In J.S. Rose, L. Chassin,
C.C. Presson, S.J. Sherman, (Eds.), Multivariate
Applications in Substance Use Research (pp. 79-112).
Hedeker, D. (2003). A mixed-effects multinomial
logistic regression model.
Statistics in Medicine, 22, 1433-1446.
Hedeker, D. (2004). An introduction to growth
modeling. In D. Kaplan (Ed.), The Sage Handbook of Quantitative
Methodology for the Social Sciences (pp.
215-234). Sage
Publications,
Raman, R. & Hedeker, D.
(2005). Mixed-effects
regression models for three-level ordinal response data. Statistics in
Medicine, 24, 3331-3345. (pdf
file)
Leon, A.C. & Hedeker, D.
(2005). A
mixed-effects propensity adjustment for effectiveness analyses of ordered
categorical doses. Statistics in Medicine, 24, 647-658. (pdf
file)
Hedeker, D. (2005). Generalized linear mixed
models. In B. Everitt
& D. Howell (Eds.),
Encyclopedia of Statistics in
Behavioral Science. Wiley,
Liu, L.C. & Hedeker, D.
(2006). A mixed-effects regression model for longitudinal multivariate
ordinal data.
Biometrics, 62, 261-268. (pdf
file)
Hedeker,
D., Berbaum, M., & Mermelstein,
R.J. (2006). Location-scale
models for multilevel ordinal data: between- and
within-subjects variance
modeling. Journal of Probability and
Statistical Science, 4, 1-20. (pdf file) (SAS
code)
Hedeker, D., Mermelstein,
R.J., & Flay, B. R. (2006).
Application of item response theory models for intensive
longitudinal data. In T.A.
Walls & J.L. Schafer (Eds.), Models for Intensive Longitudinal Data
(pp. 84-108).
a
mixed-effects propensity adjustment.
Statistics in Medicine, 26, 110-123.
(pdf
file)
Demirtas, H. & Hedeker, D.
(2007). Gaussianization-based
quasi-imputation and expansion strategies for incomplete
correlated binary data. Statistics in
Medicine, 26, 782-799. (pdf
file)
Hedeker, D. & Mermelstein, R.J.
(2007). Mixed-effects regression models with
heterogeneous variance: analyzing
ecological momentary assessment data of smoking.
In T.D. Little, J.A. Bovaird, & N.A. Card
(Eds.), Modeling
Contextual Effects in Longitudinal Studies. Erlbaum:
a
randomized controlled clinical trial.
Clinical Trials, 4, 540-547. (pdf file)
Hedeker,
D., Mermelstein, R.J., & Demirtas,
H. (2007). Analysis of
binary outcomes with missing data:
missing=smoking,
last observation carried forward, and a little multiple imputation. Addiction, 102, 1564-1573.
(pdf
file) (SAS code) (SAS code
description) (data)
Hedeker, D. (2008).
Multilevel models for ordinal and nominal variables. In J. de Leeuw
&
Handbook of Multilevel Analysis. Springer,
Hedeker,
D., Mermelstein, R.J., & Demirtas,
H. (in press). An application
of a mixed-effects location scale model for
analysis of
Ecological Momentary Assessment (EMA) data.
Biometrics.
(pdf
file) (SAS code)
More
information:
Don's 15-week course
on Longitudinal Data Analysis
The MIX
website
Any questions or comments to Don: hedeker@uic.edu