Longitudinal studies play an increasingly prominent role in biomedical research. examples from the cancer field include analysis of repeated tumor marker measurements, tumor growth curve analysis for animal bioassay, and changesin body weight for patients on cancer clinical trials. in the past,… More

Cytel software intends to produce and market a statistical software package for exact nonparametric inference on a broad range of problems commonly encountered by applied statisticians. the emphasis is on providing a computationally efficient, strong, and portable set of tools for performing exact… More

In many clinical or epidemiological studies, the objective is to relate a binary response variable to treatment, exposure levels, and other covariates. usually this is doneby using a logistic model with the data analysis based on large-sample assumptions. frequently, however, the sample size is so… More

Large multi-institutional two-arm randomized clinical trials, in which the primary endpoint is the time until a specific event (such as death from cancer) occurs, are generally conducted as fixed sample studies. there are, however, ethical and economic pressures to monitor the accumulating data and… More

The overall goal is to provide a microcomputer package of statistical tables and functions for all the widely used parametric and nonparametric distributions. a friendly yet powerful user interface, permitting table look-up, hypothesis testing, interval estimation, random number generation, data… More

We will develop commercial software which implements graphical and numerical methods for checking tadequacy of a variety of regression models frequently used in biomedical studies. In Phase I of theconcentrate on three popular models: the Cox proportional hazards model, the logistic regression… More

Ordered categorical variables arise frequently in cancer clinical trials and other biomedicalstudies. The statistical procedures for analyzing such data are well known and software for performingthe analysis is readily available. The basic idea is to condition on the margins of the contingency… More

Binary logistic regression and its extensions to unordered polytocous response, orderedpolytocous response, and Poisson response are among the most popular mathematical models for theanalysis of categorical data with widespread applicability in the biomedical sciences. The usual methodof inference… More

We will develop commercial software which implements graphical and numerical methods for checking tadequacy of a variety of regression models frequently used in biomedical studies. In Phase I of theconcentrate on three popular models: the Cox proportional hazards model, the logistic regression… More

Not Available Our nation faces a growing threat from terrorist organizations. The proposed Phase I effort provides the fundamental required research and development for a system that can provide realistic insight into future actions of terrorist organizations and their sponsors. The purpose of… More

This Small Business Innovation Research (SBIR) Phase II project will create web-based courseware featuring software (the "Urn Sampler") built around the simulation/resampling method in statistics which focuses on the process of formulating a statistical test. This courseware will also feature a… More

DESCRIPTION: It is now standard practice to incorporate formal sequential monitoring procedures into the design and conduct of long term randomized clinical trials. Interim monitoring provides an advance determination of efficacy and safety so that a data and safety… More

This Small Business Innovation Research (SBIR) Phase II project will create web-based courseware featuring software (the "Urn Sampler") built around the simulation/resampling method in statistics which focuses on the process of formulating a statistical test. This courseware will also feature a… More

DESCRIPTION: It is now standard practice to incorporate formal sequential monitoring procedures into the design and conduct of long term randomized clinical trials. Interim monitoring provides an advance determination of efficacy and safety so that a data and safety… More

DESCRIPTION (provided by applicant): Logistic regression is a very popular model for the analysis of binary data with widespread applicability in the physical, behavioral and biomedical sciences. Parameter inference for this model is usually based on maximizing the… More

DESCRIPTION (provided by applicant): Today, software for fitting logistic regression models to binary data belongs in the toolkit of every professional biostatistician, epidemiologist, and social scientist. A natural follow-up to this development is the adoption of exact logistic regression by… More

DESCRIPTION (provided by applicant): Today, software for fitting logistic regression models to binary data belongs in the toolkit of every professional biostatistician, epidemiologist, and social scientist. A natural follow-up to this development is the adoption of exact logistic regression by… More

DESCRIPTION (provided by applicant): This is a Phase II SBIR proposal for completing the development of a comprehensive collection of statistical tools embedded in LogXact, in EGRET, in SAS as PROCs and in SPLUS as functions. This set of tools will compute maximum likelihood estimates for… More

DESCRIPTION (provided by applicant): This is a Phase I SBIR proposal for the development of computer software performing small sample exact inference for correlated categorical data. Such data are now common in many, biomedical areas of research, such as genetics, ophthalmology, and teratology. In… More

DESCRIPTION (provided by applicant): This is a Phase II SBIR proposal for a major extension to Cytel's flagship software, StatXact, to perform small sample exact inference for correlated categorical data. Such data are common in biomedical research, especially in areas such as genetics,… More

DESCRIPTION (provided by applicant): Logistic regression is the most frequently used model for binary data and has widespread applicability in the health, behavioral, and physical sciences. Over two thousand research papers were published in 1999 in which logistic regression was in the title of… More