User Comments

“Egret is easy to use, powerful and sophisticated. Excellent software for teaching statistical methods in epidemiology.”

Alvaro Munoz
Professor, Department of Epidemiology
School of Public Health, Johns Hopkins University

“We have used Egret for four years now in teaching our two survival analysis courses. Because its analysis and graphics are interactive, I find it much easier to demonstrate survival methods to students. Because it has a user-friendly, menu-driven interface, students spend less time learning the program and more time learning the course material. Its graphics for hazard function estimation and regression diagnostics are especially nice.”

Michael Jones
Professor, Division of Biostatistics
Dept. of Preventive Medicine, University of Iowa

“We find Egret a very useful teaching tool, because it is so easy to use that we don't need to give any formal instruction on the package before letting participants loose on the problem. We usually demonstrate the use of the package within a lecture on methodology, but the students pick up the mechanics of using it very quickly, which allows more time for interpretation of the analyses.”

Gillian Maude
Joint Course Coordinator Dept. of Epidemiology and Population Sciences
London School of Hygiene and Tropical Medicine

“Egret is a first-class package for teaching the fundamentals of regression in the epidemiological setting. Because of its straight-forward menu-driven environment students can spend time thinking about the relevant theory rather than having to waste time contemplating the next computer command that is required. . . .The provision of easy access to delta-betas makes it very easy to assess local influence, a model checking procedure that is other-wise often overlooked. Egret provides a series of interesting approaches to the modeling of random effects in the setting of logistic regression.”

Paul Burton
Senior Biostatistician
Western Australian Research Institute for Child Health

“Egret is an excellent biostatistical tool. A statistician is allowed to employ a variety of models and diagnostics, many of which are simply unavailable elsewhere. I recommend it for every research unit. SERC has created a well-tested and superiorly documented software program; Egret SIZ determines appropriate sample sizes for most epidemiological/biostatistical modeling situations. It is clearly a seasoned researcher’s dream.”

Joseph Hilbe
Director of Research
Transitional Hospitals Corporation, Atlanta, Georgia

“Egret is a wonderfully easy to use package for fitting proportional hazard models and related likelihoods. The interface is comfortable and the program is powerful and flexible. Staggered entry times is an exceptionally powerful tool.”

Steven Piantadosi
Director Biostatistics
Johns Hopkins Oncology Center

“Egret is by far the most comprehensive and accurate package for statistical power, sample size and confidence interval analysis for nonlinear regression that I have seen. The manual is excellent and the provision of camera-ready graphics and Monte Carlo capability is a real bonus.”

Jacob Cohen, Ph.D.
Author of Statistical Power Analysis for the Behavioral Sciences
Emeritus Professor, Psychology Graduate School of Arts & Sciences
New York University

“Egret is unique in what it can do . . . a valuable tool for planning epidemiologic studies. Elegant documentation.”

Cedric Garland
Associate Professor
Family and Preventive Medicine, UC San Diego