||5R44CA094611-03 Interpret this number
||Software for Design Comparative Observational Studies
DESCRIPTION (provided by applicant): Comparative observational studies are used
to estimate the effect of treatments, large-scale policy interventions and
environmental exposures when controlled randomized studies are unethical,
infeasible, or during the early stages of research for the purpose of
generating hypotheses. The goal of this project is to produce user-friendly
software that yields improved designs for concurrent-cohort observational
studies that reduce bias due to measured covariates. The methods that will be
implemented include multivariate matching and subclassification using
propensity scores and the Mahalanobis metric. Tables, graphical displays, and
diagnostic reports will be automatically created so users can quickly assess
several designs to select the one most appropriate for their data. These
displays will incorporate formulas predicting the optimal performance of the
methods developed during the past decade. The design selection process does not
utilize response variables, thereby avoiding the severe bias that can occur
when an investigator evaluates several analyses but reports only those
conforming with their prior beliefs. The software will support importing data
from major software packages (e.g., SAS, SPSS), and the exporting of data and
results to these same programs. This product will be a significant step towards
the wider availability of the rapidly developing methods for causal inference
based on observational comparisons.
PROPOSED COMMERCIAL APPLICATION:
This project will produce a user-friendly Windows-based software product for use in the design of observational evaluations of the effects of medical procedures, environmental exposures, policy interventiopns in areas such as education and job training, and outcome research studies involving costs/service utilization and quality of life. It will be useful to academic, government, non-profit research organizations and pharmaceutical companies. It will be marketed and distributed by Statistical Solutions, Ltd.
Asymptomatic reactivation of herpes simplex virus in women after the first episode of genital herpes.
, Benedetti J.
, Langenberg A.
, Corey L.
Annals of internal medicine, 1992-03-15; 116(6), p. 433-7.