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., & Salina, D. (1994). Analysis of clustered data in community
psychology: 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, School of Public Health, University of Illinois at Chicago. (pdf file)
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).
Xu,
W. & Hedeker, D. (2001). A random-effects mixture
model for classifying treatment response in longitudinal clinical trials. Journal of Biopharmaceutical Statistics, 11,
253-273. (pdf
file)
Hur,
K., Hedeker, D., Henderson, W.G., Khuri,
S., & Daley, J. (2002).
Modeling clustered count data with excess zeros in health care outcomes
research. Health Services and Outcomes
Research Methodology, 3, 5-20. (pdf
file)
Hedeker, D. (2003). A mixed-effects multinomial
logistic regression model.
Statistics in Medicine, 22, 1433-1446.
(pdf file)
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, Thousand Oaks, CA. (pdf
file)
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, New York. (pdf file)
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).
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:
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 & E. Meijer (Eds.), Handbook of Multilevel
Analysis. Springer,
New York. (pdf
file)
Hedeker,
D., Mermelstein, R.J., & Demirtas,
H. (2008). An application of a mixed-effects location scale model for analysis
of Ecological Momentary Assessment (EMA) data. Biometrics, 64, 627-634. (pdf
file) (SAS code)
Hedeker,
D., Mermelstein, R.J., Berbaum,
M.L., & Campbell, R.T. (2009).
Modeling mood variation associated with smoking: An application of a
heterogeneous mixed-effects model for analysis of Ecological Momentary
Assessment (EMA) data. Addiction, 104,
297-307. (pdf
file) (SAS code
description)
Hedeker,
D., Demirtas, H., & Mermelstein,
R.J. (2009). A mixed ordinal location scale model for analysis of Ecological
Momentary Assessment (EMA) data.
Statistics and its Interface, 2, 391-401. (pdf
file)
Hedeker, D. & Mermelstein, R.J.
(2011). Multilevel analysis of ordinal
outcomes related to survival data. In J.
J. Hox & J. K. Roberts (Eds.), The
Handbook of Advanced Multilevel Analysis} (pp. 115-136). Taylor and Francis, New
York. (pdf
file)
Hedeker, D., Mermelstein, R.J., & Demirtas, H. (in press). Modeling between- and
within-subject variance in Ecological Momentary Assessment (EMA) data using
mixed-effects location scale models. Statistics in Medicine.
(pdf
file)
Hedeker, D. & Mermelstein, R.J. (in
press).
Mood changes associated with smoking in adolescents: An application of a
mixed-effects location scale model for longitudinal Ecological Momentary
Assessment (EMA) data. In G. R. Hancock &
J. Harring (Eds.), Advances in Longitudinal Methods
in the Social and Behavioral Sciences. (pdf
file)
More
information:
Don's 15-week course
on Longitudinal Data Analysis
The MIX
website
Any questions or comments to Don: hedeker@uic.edu