Projects |
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DRUGStat | MVPreg | MIXZIP | RMASS | BIFACTOR
SuperMix | Mixed-Up
Suite | NPPL | LPL |
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| DRUGStat |
DRUGStat is an easy to use system for determining which drugs
are potentially harmful or protective relative to all other drugs in the specific class of drugs of interest.
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| MVPreg |
MVPreg computes a general multivariate probit
regression model for the analysis of multivariate binary data.
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| MIXZIP |
MIXZIP provides the maximum marginal likelihood
estimates of mixed-effects Zero-Inflated Poisson
(ZIP) regression models.
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| Authors list: |
| Kwan
Hur, Robert
D. Gibbons and Kush
Kapur |
| Graphical user interface by Dave
Patterson |
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| RMASS |
The RMASS program computes sample size for three-level
mixed-effects linear regression models for
the analysis of clustered longitudinal data.
Three-level designs are used in many areas, but
in particular, multi-center randomized longitudinal
clinical trials in medical or health-related
research. In this case, level 1 represents
measurement occasion, level 2 represents subject,
and level 3 represents center.
The model allows for random-effects of the time trends at both
the subject-level and the center-level. The sample size determinations
in this program are based on the requirements for a test of treatment
by time interaction(s) for designs based on either subject-level
or cluster-level randomization.
The approach is general with respect to sampling proportions
and number of groups, and it allows for differential attrition
rates over time. The general methodology is discussed in Sample
Size Determination for Hierarchical Longitudinal Designs with
Differential Attrition
Rates  |
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| Authors list: |
| Anindya
Roy, Dulal
K. Bhaumik, Subhash
Aryal and Robert
D. Gibbons |
| Web interface by Monica
Jercan |
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| BIFACTOR |
The BIFACTOR program estimates the bifactor model
for ordinal and dichotomous data.
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| Authors list: |
| Robert D. Gibbons and Donald Hedeker |
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| SuperMix |
SuperMix extends the
functionality available in the Mixed-Up Suite
by providing
advanced data handling, the ability
to reference columns by name, sophisticated
import and export capability, visualization
of data and results, increased analysis
speed and additional statistical
engine functions.
SuperMix has been developed by Scientific Software International
under an SBIR Phase II contract N44MH32056. The
application will fit models with continuous,
count, ordinal, nominal, and survival outcome
variables with nested data, allowing for
up to three levels of nesting. For a more
in-depth look at SuperMix and to download
a free fully functional 15-day trial edition
vist the SSI
SuperMix homepage. |
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| The Mixed-Up Suite |
The Mixed-up Suite provides mixed-effects
regression functionality not available anywhere
else — at
any price. MIXOR, MIXREG, MIXNO and MIXPREG
are based on the collaborative effort of
Drs. Donald Hedeker and Robert D. Gibbons
of the University of Illinois at Chicago
and University of Chicago, respectively.
Discerning Systems Inc. produced the user interfaces
around the computer programs written by Don
Hedeker.
The work was
supported by the National Institute of Mental
Health and the MacArthur Foundation, and
the programs are available free of charge for download
from the MIXOR/MIXREG homepage located at the University of Illinois at Chicago. |
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| Nonparametric Prediction
Interval for Analysis of Microarray Data |
The statistical methodology implemented in
this applet is based on a nonparametric prediction
interval described in Sequential
Prediction Bounds for Identifying Differentially
Expressed Genes in Replicated
Microarray Experiments by
Robert D. Gibbons, Dulal K. Bhaumik, David
R. Cox, Dennis R. Grayson, John M. Davis, and
Rajiv P. Sharma.
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| Lognormal Prediction Limit
for the Arithmetic Mean of n future samples |
This program computes the 95% lognormal prediction
limit for a future mean of n samples based on a historical set of
m samples.
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