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The following is a list of publications by Robert
D. Gibbons, Donald Hedeker, and colleagues, that are of relevance
to this area. |
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Gibbons, R.D., Clark, D., and Davis, J.M. A
statistical model for the classification of imipramine response in
depressed
inpatients.
Psychopharmacology, vol. 78, no. 2, pp. 185-189, October 1982. |
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Gibbons, R.D. and Davis, J.M. The price
of beer and the salaries of priests: analysis and display of longitudinal
psychiatric data.
Archives of General Psychiatry, vol. 41, pp. 1183-1184,
December 1984. |
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Gibbons, R.D. and Bock, R.D. Trend in Correlated
Proportions.
Psychometrika, vol. 52, no. 1, pp. 113-124, March 1987. |
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Gibbons, R.D., Hedeker, D., and Davis, J.M. Regression
toward the mean: more on the price of beer and the salaries of priests.
Psychoneuroendocrinology, vol. 12, no. 3, pp. 185-192, 1987. |
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Clark, D.C. and Gibbons, R.D. Does one nonlethal
suicide attempt increase the risk for a subsequent nonlethal attempt?
Medical Care, vol. 25, no. 12, pp. S87-S88, December 1987. |
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Gibbons, R.D., Hedeker, D., Waternaux, C., and
Davis, J.M. Random regression models: a comprehensive approach to
the analysis
of longitudinal
psychiatric data.
Psychopharmacology Bulletin, vol. 24, no. 3, pp. 438-443, 1988. |
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Hedeker, D., Gibbons, R.D., Waternaux, C., and
Davis, J.M.
Investigating
drug plasma levels and clinical response using random regression
models. 
Psychopharmacology Bulletin, vol. 25, no. 2, pp. 227-231,
1989. |
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Clark, D.C., Gibbons, R.D., Fawcett, J., and Sheftner,
W.A. What is the mechanism by which suicide attempts predispose
to later suicide attempts?
A mathematical model.
Journal of Abnormal Psychology, vol. 98, no. 1, pp. 42-49, February 1989. |
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Hedeker, D., Gibbons, R.D., and Davis, J.M.
Random
regression models for multicenter clinical trials data. 
Psychopharmacology Bulletin, vol. 27, no. 1, pp. 73-77,
1991. |
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Sharma, R.P., Hedeker, D., Pandey, G., Janicak,
P.G., and Davis, J.M. A longitudinal study of plasma cortisol and
depressive symptomatology by random regression analysis.
Biological Psychiatry, vol. 31, no. 3, pp. 304-314,
February 1992. |
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Gibbons, R.D., Hedeker, D., Elkin, I., Waternaux,
C.,
Kraemer, H.C., Greenhouse, J.B., Shea, M.T., Imber, S.D., Sotsky, S.M., and Watkins,
J.T. Some conceptual and statistical issues in analysis of longitudinal psychiatric
data.
Archives of General Psychiatry, vol. 50, pp. 739-750, 1993. |
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Gibbons, R.D. and Hedeker, D. Application
of random-effects probit regression models. 
Journal of Consulting and Clinical Psychology, vol. 62, no.
2,
pp. 285-296, April 1994. |
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Hedeker, D., Gibbons, R.D., and Flay, B.R. Random-effects
regression models for clustered data with an example from smoking
prevention research. 
Journal of Consulting and Clinical Psychology, vol. 62,
no. 4,
pp. 757-765, August 1994. |
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Gibbons, R.D., Hedeker, D., Charles, S.C., and
Frisch, P.R.
A
random-effects probit model for predicting medical malpractice claims. 
Journal of the American Statistical Association, vol. 89,
no. 427, pp. 760-767, September 1994. |
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Hedeker, D. and Gibbons, R.D. A
random-effects ordinal regression model for multilevel analysis. 
Biometrics, vol. 50, no. 4, pp. 933-944, December 1994. |
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Hedeker, D., McMahon, S.D., Jason, L.A., and
Salina, D. Analysis
of clustered data in community psychology: with an example from a
worksite smoking cessation project. 
American Journal of Community Psychology, vol. 22, no. 5,
pp. 595-615, October 1994. |
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Hedeker, D., Flay, B.R., and Petraitis, J. Estimating
individual influences of behavioral intentions: an application of
random-effects modeling to the theory of reasoned action. 
Journal of Consulting and Clinical Psychology, vol. 64, no.
1,
pp. 109-120, February 1996. |
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Hedeker, D. and Gibbons, R.D. MIXOR:
a computer program for mixed-effects ordinal regression analysis. 
Computer Methods and Programs in Biomedicine, vol. 49, no.
2, pp. 157-176, March 1996. |
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Hedeker, D. and Gibbons, R.D. MIXREG:
a computer program for mixed-effects regression analysis with autocorrelated
errors. 
Computer Methods and Programs in Biomedicine, vol. 49, no. 3, pp.
229-252, May 1996. |
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Hedeker, D. and Mermelstein, R.J. Application
of random-effects regression models in relapse research. 
Addiction, vol. 91, supplement 1, pp. S211-S229, December
1996. |
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Siddiqui, O., Hedeker, D., Flay, B.R., and Hu,
F.B. Intraclass
correlation estimates in a school-based smoking prevention study:
outcome and mediating variables by gender and ethnicity. 
American Journal of Epidemiology, vol. 144, no. 4, pp. 425-433, 1996. |
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Hedeker, D. and Gibbons, R.D. Application
of random-effects pattern-mixture models for missing data in longitudinal
studies. 
Psychological Methods, vol. 2, no. 1, pp. 64-78, March 1997.
RRMPAT.ZIP contains:
- a DVI version of the paper created by LaTex (2 DVI files)
- data and SAS code to perform the random-effects pattern mixture analysis |
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Hu, F.B., Goldberg, J., Hedeker, D., Flay, B.R.,
and Pentz, M.A. Comparison of population-averaged and subject-specific
approaches for analyzing
repeated binary outcomes.
American Journal of Epidemiology, vol. 147, no. 7, pp. 694-703,
April 1997. |
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Gibbons, R.D. and Hedeker, D. Random-effects
probit and logistic regression models for three-level data. 
Biometrics, vol. 53, no. 4, pp. 1527-1537, December 1997. |
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Hedeker, D. and Mermelstein, R.J. A
multilevel thresholds of change model for analysis of
stages of change data. 
Multivariate Behavioral Research, vol. 33, no. 4, pp. 427-455, 1998. |
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Hu, F.B., Goldberg, J., Hedeker, D., and Henderson,
W.G. Modeling
ordinal responses from co-twin control studies. 
Statistics in Medicine, vol. 17, no. 9, pp. 957-970,
December 1998. |
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Hedeker, D. MIXPREG:
a computer program for mixed-effects Poisson regression.

Technical
Report, School of Public Health, University of Illinois at Chicago,
1998.
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Hedeker, D., Gibbons, R.D., and Waternaux, C. Sample
size estimation for longitudinal designs with attrition: comparing
time-related contrasts between two groups. 
Journal of Educational and Behavioral Statistics, vol. 24,
no. 1, pp. 70-93, 1999.
RMASS2.EXE is an executable program
for sample size determination based on this paper.
Read the program guide.  |
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Hedeker, D., Mermelstein, R.J., and Weeks, K.A.
The
thresholds of change model: an approach to analyzing stages of change
data. 
Annals of Behavioral Medicine, vol. 21, no. 1, pp. 61-70,
1999.
THRESHM1.SPS and THRESHM2.SPS contain
SPSS macro programs implementing the thresholds of change model.
THRESHM1.SAS and THRESHM2.SAS contain
SAS macro programs implementing the thresholds of change model. |
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Hedeker, D. MIXNO:
a computer program for mixed-effects nominal logistic regression. 
Journal of Statistical Software, vol. 4, no. 5, pp.
1-92, October 1999.
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Hedeker,
D., Siddiqui, O., and Hu, F.B. Random-effects
regression analysis of correlated grouped-time survival data. 
Statistical Methods in Medical Research, vol. 9, no.
2,
pp. 161-179, April 2000. |
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Hedeker, D. and Mermelstein, R.J. Analysis
of longitudinal substance use outcomes using ordinal random-effects
regression models. 
Addiction, vol. 95, supplement 3, pp. S381-S394,
November 2000.
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Gibbons, R.D. and Hedeker, D. Applications
of mixed-effects models in biostatistics. 
Sankhya: The Indian Journal of Statistics, vol. 62,
series B, part 1, pp. 70-103, 2000. |
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Hedeker, D. and Rose, J.S. The
natural history of smoking: a pattern-mixture random-effects regression
model. 
In J.S. Rose, L. Chassin, C.C. Presson, and S.J.
Sherman, (Eds.), Multivariate Applications
in Substance Use Research. Hillsdale,
NJ: Lawrence
Erlbaum Associates; 2000. pp. 79-112. |
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Hedeker, D. A
mixed-effects multinomial logistic regression model. 
Statistics in Medicine, vol. 22, pp. 1433-1446, 2003. |
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Hedeker, D. An
introduction to growth modeling. 
In D. Kaplan (Ed.), The Sage Handbook of Quantitative Methodology
for the Social Sciences. Thousand Oaks,
CA: Sage Publications; 2004. pp. 215-234.
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Hedeker, D. Generalized
linear mixed models. 
In
B. Everitt and D. Howell (Eds.), Encyclopedia of Statistics
in Behavioral Science. New York: John Wiley & Sons;
2005.
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Hedeker, D., Berbaum, M., and Mermelstein, R.J.
Location-scale
models for multilevel ordinal data: between- and within-subjects
variance modeling. 
Journal of Probability and
Statistical Science, vol. 4, no. 1,
pp. 1-20, February 2006.
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SAS
code contains
syntax for several of the models and can be used to perform the
analyses presented in
this article. |
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Hedeker, D., Mermelstein, R.J., and Flay,
B.R. Application
of item response theory models for intensive longitudinal data. 
In T.A. Walls and J.L. Schafer (Eds.),
Models for Intensive Longitudinal Data. New York:
Oxford University Press; 2006.
pp. 84-108.
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SAS code contains
code for IRT analysis of the LSAT-6 data. |
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Hedeker, D. and Mermelstein, R.J. Mixed-effects
regression models with heterogeneous variance: analyzing Ecological
Momentary Assessment (EMA) data of smoking. 
In T.D. Little, J.A. Bovaird, and N.A. Card, (Eds.), Modeling
Contextual Effects in Longitudinal Studies. Mahwah,
NJ: Lawrence Erlbaum Associates; 2007. pp. 183–206. |
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SAS code contains
syntax for models in TABLE 8.3. |
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Hedeker, D., Mermelstein, R.J., and Demirtas,
H. Analysis of binary outcomes with missing data: missing=smoking,
last observation carried forward, and a little multiple imputation. 
Addiction,
vol. 102, no. 10, pp. 1564-1573, October 2007.
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SAS
code and
data are
provided for the logistic regression imputation described in this article.
Read the SAS
code description.  |
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Hedeker, D. Multilevel models for ordinal
and nominal
variables. 
In J. de Leeuw and E. Meijer (Eds.), Handbook of Multilevel
Analysis. New York: Springer; 2008. pp. 237-274.
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Hedeker, D., Mermelstein, R.J., and Demirtas,
H. An application of a mixed-effects location scale model
for analysis of Ecological Momentary Assessment (EMA) data. 
Biometrics,
vol. 64, no. 2, pp. 627-634, June 2008.
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SAS
code contains
a sample of syntax necessary to run the mixed location scale model
described in this article. |
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Hedeker, D., Mermelstein, R.J., Berbaum, M. and
Campbell, R.T. Modeling
mood variation associated with smoking: an application of a heterogeneous
mixed-effects model for
analysis
of Ecological Momentary Assessment (EMA) data. 
Addiction, accepted.
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