Samuel R. Lucas, Faculty Affiliate of the Institute for Research on Poverty at the University of Wisconsin-Madison, a Professor in the University of California-Berkeley Department of Sociology, and an affiliate of the University of California's Department of Sociology and Demography, has research interests in social stratification, sociology of education, research methods, and research statistics.


Sociology Department
University of California-Berkeley
410 Barrows Hall #1980
Berkeley, California 94720-1980


Lucas E-mail Policy


By Appointment


University of California-Berkeley

Berkeley Sociology

Sociology Faculty

Sociology Graduate Students

Sociology Staff

Berkeley Demography

University of Wisconsin-Madison

Institute for Research on Poverty

Statistical Methods and Software

This page contains links to sources for statistical software, as well as sites containing detailed discussions of statistics.

SAS surpasses many packages because of its data handling capability and the many models one may easily estimate with it. In addition to the basics, one may estimate log-linear models, logit models, complementary log-log models, and models for event history data. Using Proc Mixed one may estimate multi-level models for interval-level variables, dichotomous variables, ordinal variables, count data, and more.

Stata is also a widely used program that runs on several platforms. Further, several users have written macros that can be obtained and that extend the already extensive capabilities of the program.

StatLib contains links to software packages, macros, and discussions of statistical methods.