CSCAR is a service and research unit of the University of Michigan, administratively located in the Office of the Vice President for Research. Its staff provides statistical services to faculty, primary researchers, graduate students and staff of the University for up to one hour per week at no charge. For  additional statistical service options, click here.

CSCAR emphasizes an integrated, comprehensive statistical consulting service, covering all aspects of a quantitative research project ranging from the initial study design through to the presentation of the final research conclusions. More specifically, CSCAR offers the following services:

CSCAR's staff provides free consulting services on the statistical aspects of research grants and/or contract proposals. These include design and sampling methods, power and sample size calculations, and choice of statistical methodology.

Researchers are encouraged to make contact with CSCAR early in the planning process of a quantitative study. Consulting may involve power calculations and help in determining sample sizes needed to achieve various degrees of precision for sample estimators. Sample size software is also available at CSCAR for use by clients. Statistical advice on matters of measurement or instrument design is also provided.

CSCAR provides advice on database design and management, as well as on transferring datasets across platforms (e.g., Mac to PC) and across software (e.g., SPSS to SAS).

CSCAR provides consulting services regarding the choice of appropriate and contemporary statistical methodology.

CSCAR maintains a staff of consultants to help researchers implement statistical methodology using one or more of the standard statistical computer programs. At present these programs include SAS, SPSS, SYSTAT, S-Plus, Stata, R, HLM, LISREL, and AMOS. Support is also available on each platform for which the programs are written, including Windows, UNIX, and Macintosh.

CSCAR's staff assists researchers in interpreting the results of various statistical methods and in determining what conclusions are statistically justifiable.

CSCAR's staff offers advice on presenting the results of statistical analyses, including graphical presentation.

For projects that require more statistical services than CSCAR can offer without charge, CSCAR and its staff are available to submit joint, collaborative research grant/contract proposals or to enter into subcontract agreements. Such agreements might cover any or all of the various statistical/quantitative aspects of the research.

University of Michigan's CSCAR can provide remote consulting if necessary. CSCAR uses software called Centra to allow CSCAR consultants to view clients' computer screens and provide input on software problems. "Whiteboard" is also available within Centra, which in conjunction with a phone conversation, can substitute for a face-to-face meeting.

Client Requirements for Remote Consulting

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Edward D. Rothman, Ph.D.

Director and Professor of Statistics

Quality control, design of experiments, time series.

Brenda W. Gillespie, Ph.D.

Associate Director

Survival analysis, design of experiments, regression

modeling, clinical trials.

Kenneth Guire, M.A.

Research Associate

Study design, general linear modeling.

Joe Kazemi, M.A.

Statistical Consultant

SPSS, SAS, R, STATA, Minitab, Data Management,

Regression, ANOVA.

Hyungjin Myra Kim, Sc.D.

Associate Research Scientist

Clinical trials, medical decision making, technology

assessment, health services research.

Laura Klem, A.B.

Senior Research Associate

Structural equations, path analysis, LISREL/AMOS.

Charles Kowalski, Ph.D.

Professor of Dentistry

Multivariate methods, longitudinal data analysis,

clinical measurement of pain.

Heidi Reichert, M.A.

Statistical Consultant

SPSS, SAS, R, STATA, Minitab, Regression, ANOVA.

Ananda Sen, Ph.D.

Associate Research Scientist

Survival Analysis, Industrial Statistics, Reliability.

Kathleen Welch, M.A., M.P.H.

Statistical Consultant

SAS, SYSTAT, JMP, data management, regression modeling.

Brady West, B.S., M.A.

Statistical Consultant

SPSS, SAS, R, STATA, Data Management,

Regression/ANOVA, Analysis of Sample Survey Data.

Lingling Zhang, M.A.

Statistical Consultant, SPSS, Stata, SAS, NVivo, survey

sampling, statistical computing, categorical data analysis.

Faculty Associates

Julian Faraway, Ph.D.

Professor of Statistics

Nonparametric regression, bootstrapping, 

statistical computing.

James Lepkowski, Ph.D. 

Senior Research Scientist, SRC

Survey sampling.

Rod Little, Ph.D. 

Professor of Biotatistics

Missing data.

Vijay Nair, Ph.D.

Professor of Statistics

Design of experiments, reliability.

Trivellore Raghunathan, Ph.D. 

Senior Research Scientist, SRC and 

Professor, Biostatistics

Survey sampling, missing data.

George Michailidis, Ph.D

Assistant Professor, Statistics

Multivariate analysis, Applied Probability

Kerby Sheddon, Ph.D.

Assistant Professor, Statistics

High dimensional data sets, statistical computing

 

CSCAR's Computing Resources

The ITCS site in CSCAR consists of four PCs and one Mac.  The  statistical and GIS software packages that the PCs all have are: Amos 6, MATLAB 7.0, R 2.3.1, SAS 9.1.3, SPSS 14.0, StataSE9.2, ArcGIS 9.1 and ArcView GIS 3.3.  The Mac has MATLAB 7.0, R 2.3.1 and SPSS 13.0. Computers are available during regular CSCAR hours on a walk-in basis.

 

The CSCAR library PC has statistical packages, including sample-size software, that the sites machines may not have.  PASS 2002, SPSS 14.0 and 15.0, Stata 9.2, SAS 9.1.3, Amos 5 and 6, R 2.5.1, IVEware and nQuery Advisor 6.0 are all installed on this machine.  The library PC can be used from 9am-5pm Monday-Friday when it is not in use by CSCAR consultants or, for your convenience, may be reserved on Mondays-Thursdays from 7-9pm by calling the front desk at (734)764-STAT.