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Risk-Set Matching

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Design of Observational Studies

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Abstract

When a treatment may be given at various times, it is important to form matched pairs or sets in which subjects are similar prior to treatment but avoid matching on events that were subsequent to treatment. This is done using risk-set matching, in which a newly treated subject at time t is matched to one or more controls who are not yet treated at time t based on covariate information describing subjects prior to time t.

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References

  • American Academy of Pediatrics.: Hospital discharge of the high-risk neonate – proposed guidelines. Pediatrics 102, 411–17 (1998)

    Google Scholar 

  • Cox, D.R.: Prediction by exponentially weighted moving averages and related methods. J R Statist Soc B 23, 414–422 (1961)

    MATH  Google Scholar 

  • Cox, D.R.: Regression models and life-tables. J Roy Statist Soc B 34, 187–220.

    Google Scholar 

  • Derigs, U.: Solving nonbipartite matching problems by shortest path techniques. Ann Operat Res 13, 225–261 (1988)

    Article  MathSciNet  Google Scholar 

  • Gail, M.H. : Does cardiac transplantation prolong life? A reassessment. Ann Intern Med 76, 815–817 (1972)

    Google Scholar 

  • Haviland, A.M., Nagin, D.S. : Causal inferences with group based trajectory models, Psychometrika 70, 557–578 (2005)

    Article  MathSciNet  Google Scholar 

  • Haviland, A.M., Nagin, D.S., Rosenbaum, P.R.: Combining propensity score matching and group-based trajectory analysis in an observational study. Psychol Methods 12, 247–267 (2007)

    Article  Google Scholar 

  • Haviland, A.M., Nagin, D.S., Rosenbaum, P.R., Tremblay, R.E. : Combining group-based trajectory modeling and propensity score matching for causal inferences in nonexperimental longitudinal data. Dev Psychol 44, 422–436 (2008)

    Article  Google Scholar 

  • Li, Y.F.P., Propert, K.J., Rosenbaum, P.R.: Balanced risk set matching. J Am Statist Assoc 96, 870–882 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  • Lu, B. : Propensity score matching with time-dependent covariates. Biometrics 61, 721–728 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  • Marcus, S.M., Siddique, J., Ten Have, T.R., Gibbons, R.D., Stuart, E., and Normand, S-L.: Balancing treatment comparisons in longitudinal studies. Psychiatric Ann 38, 805–812 (2008)

    Article  Google Scholar 

  • Messmer, B.J., Nora, J.J., Leachman, R.D., et al: Survival-times after cardiac allografts. Lancet 1, 954–956 (1969)

    Article  Google Scholar 

  • Nagin, D.S.: Group-Based Modeling of Development. Cambridge, MA: Harvard University Press (2005)

    Google Scholar 

  • Nieuwbeerta, P., Nagin, D.S., Blokland, A.A.J.: The relationship between first imprisonment and criminal career development: A matched samples comparison. J Quant Criminol, to appear.

    Google Scholar 

  • Propert. K.J., Schaeffer, A.J., Brensinger, C.M., Kusek, J.W., Nyberg, L.M., Landis, J.R. : A prospective study of interstitial cystitis: Results of longitudinal followup of the interstitial cystitis data base cohort. J Urol 163, 1434–1439. (2000)

    Article  Google Scholar 

  • Robins, J.M., Blevins, D., Ritter, G., Wulfsohn, M. : G-estimation of the effect of prophylaxis therapy for pneumocystis carinii pneumonia on the survival of AIDS patients. Epidemiology 3, 319–336.

    Google Scholar 

  • Rosenbaum, P.R.: The consequences of adjustment for a concomitant variable that has been affected by the treatment. J Roy Statist Soc A 147, 656–666 (1984)

    Article  Google Scholar 

  • Rosenbaum, P.R., Silber, J.H. : Sensitivity analysis for equivalence and difference in an observational study of neonatal intensive care units. J Am Statist Assoc 104, 501–511 (2009)

    Article  Google Scholar 

  • Silber, J.H., Lorch, S.L., Rosenbaum, P.R., Medoff-Cooper, B., Bakewell-Sachs, S., Millman, A., Mi, L., Even-Shoshan, O., Escobar, G.E. : Additional maturity at discharge and subsequent health care costs. Health Serv Res 44, 444–463 (2009)

    Article  Google Scholar 

  • Suissa, S.: Immortal time bias in pharmacoepidemiology. Am J Epidemiol 167, 492–499 (2008)

    Article  Google Scholar 

  • Tremblay, R.E., Desmarais-Gervais, L., Gagnon, C., Charlebois, P.: The preschool behavior questionnaire: Stability of its factor structure between culture, sexes, ages, and socioeconomic classes. Int J Behav Devl 10, 467–484 (1987)

    Google Scholar 

  • van der Laan, M., Robins, J.: Unified Methods for Censored Longitudinal Data and Causality. New York: Springer (2003)

    MATH  Google Scholar 

  • Wermink, H., Blokland, A., Nieubeerta, P., Nagin, D., Tollenaar, N.: Comparing the effects of community service and imprisonment on recidivism: A matched samples approach. Manuscript.

    Google Scholar 

  • Wu, W., West, S.G., Hughes, J.N. : Effect of retention in first grade on children’s achievement trajectories over 4 years: A piecewise growth analysis using propensity score matching. J Educ Psychol 100, 727–740 (2008)

    Article  Google Scholar 

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Correspondence to Paul R. Rosenbaum .

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Rosenbaum, P.R. (2010). Risk-Set Matching. In: Design of Observational Studies. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1213-8_12

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