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. 2004 Mar;99(465):239-249.
doi: 10.1198/016214504000000232.

Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program

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Methodology for Evaluating a Partially Controlled Longitudinal Treatment Using Principal Stratification, With Application to a Needle Exchange Program

Constantine E Frangakis et al. J Am Stat Assoc. 2004 Mar.

Abstract

We consider studies for evaluating the short-term effect of a treatment of interest on a time-to-event outcome. The studies we consider are only partially controlled in the following sense: (1) Subjects' exposure to the treatment of interest can vary over time, but this exposure is not directly controlled by the study; (2) subjects' follow-up time is not directly controlled by the study; and (3) the study directly controls another factor that can affect subjects' exposure to the treatment of interest as well as subjects' follow-up time. When factors 1 and 2 are both present in the study, evaluating the treatment of interest using standard methods, including instrumental variables, does not generally estimate treatment effects. We develop the methodology for estimating the effect of treatment 1 in this setting of partially controlled studies under explicit assumptions using the framework for principal stratification for causal inference. We illustrate our methods by a study to evaluate the efficacy of the Baltimore Needle Exchange Program to reduce the risk of human immunodeficiency virus (HIV) transmission, using data on distance of the program's sites from the subjects.

Keywords: Causal inference; HIV; Needle exchange; Partially controlled studies; Potential outcomes; Principal stratification.

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Figures

Figure 1
Figure 1. Principal Stratification at a Particular Time (time index is omitted). Relations in (a) follow by multilevel monotonicity, and in (b) by compound exclusion restriction

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References

    1. Angrist JD, Imbens GW. Two-Stage Least Squares Estimation of Average Causal Effects in Models With Variable Treatment Intensity. Journal of the American Statistical Association. 1995;90:431–442.
    1. Angrist JD, Imbens GW, Rubin DB. Identification of Causal Effects Using Instrumental Variables. Journal of the American Statistical Association. 1996;91:444–472.
    1. Baker SG. Analysis of Survival Data From a Randomized Trial With All-or-None Compliance: Estimating the Cost-Effectiveness of a Cancer Screening Program. Journal of the American Statistical Association. 1998;93:929–934.
    1. Baker SG. Analyzing a Randomized Cancer Prevention Trial With a Missing Binary Outcome, an Auxiliary Variable, and All-or-None Compliance. Journal of the American Statistical Association. 2000;95:43–50.
    1. Baker SG, Lindeman KS. The Paired Availability Design: A Proposal for Evaluating Epidural Analgesia During Labor. Statistics in Medicine. 1994;13:2269–2278. - PubMed

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