@article{ref1,
title="Investigating Treatment Effects in a Domestic Violence Experiment with Partially Missing Outcome Data",
journal="Journal of quantitative criminology",
year="2000",
author="Brame, Robert",
volume="16",
number="3",
pages="283-314",
abstract="This paper considers the problem of estimating the magnitude of a treatment effect in a randomized experiment where the outcome is missing for some cases. The primary concern in such situations is that the distribution of the outcome variable may vary in important ways between individuals whose outcomes are observed and individuals whose outcomes are missing. Since the data cannot be used to resolve this concern, it is necessary to take the uncertainty that is created by the missing data into account when developing inferences about the magnitude of the treatment effect. This paper considers a modeling framework that accomplishes this objective. Then, the proposed framework is applied to a study of the effectiveness of different types of police responses to spouse assault incidents in Charlotte, North Carolina. (Abstract Adapted from Source: Journal of Quantitative Criminology, 2000. Copyright © 2000 by Springer)Domestic Violence OffenderDomestic Violence TreatmentTreatment OutcomeTreatment ProgramProgram EvaluationProgram EffectivenessOffender TreatmentPolice ResponseViolence Against WomenPartner ViolenceSpouse Abuse OffenderSpouse Abuse TreatmentAdult TreatmentAdult MaleAdult OffenderAdult ViolenceMale OffenderMale ViolenceNorth Carolina02-02<p />",
language="",
issn="0748-4518",
doi="",
url="http://dx.doi.org/"
}