메뉴 건너뛰기




Volumn 17, Issue 1, 2017, Pages 73-88

A comprehensive set of postestimation measures to enrich interrupted time-series analysis

Author keywords

Causal inference; Counterfactual; Interrupted time series analysis; Itsa; Quasiexperimental designs; St0389_3

Indexed keywords


EID: 85015611356     PISSN: 1536867X     EISSN: 15368734     Source Type: Journal    
DOI: 10.1177/1536867x1701700105     Document Type: Article
Times cited : (107)

References (21)
  • 1
    • 78649343503 scopus 로고    scopus 로고
    • Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program
    • Abadie, A., A. Diamond, and J. Hainmueller. 2010. Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. Journal of the American Statistical Association 105: 493–505.
    • (2010) Journal of the American Statistical Association , vol.105 , pp. 493-505
    • Abadie, A.1    Diamond, A.2    Hainmueller, J.3
  • 3
    • 84950643380 scopus 로고
    • Intervention analysis with applications to economic and environmental problems
    • Box, G. E. P., and G. C. Tiao. 1975. Intervention analysis with applications to economic and environmental problems. Journal of the American Statistical Association 70: 70–79.
    • (1975) Journal of the American Statistical Association , vol.70 , pp. 70-79
    • Box, G.E.P.1    Tiao, G.C.2
  • 5
    • 85010644023 scopus 로고    scopus 로고
    • Oslo: Norwegian Knowledge Centre for the Health Services
    • Cochrane Effective Practice and Organisation of Care (EPOC) Group. 2015. EPOCspecific resources for review authors. Oslo: Norwegian Knowledge Centre for the Health Services. http://epoc.cochrane.org/epoc-specific-resources-review-authors.
    • (2015) Epocspecific Resources for Review Authors
  • 6
    • 0027772083 scopus 로고
    • Interrupted time-series analysis with brief single-subject data
    • Crosbie, J. 1993. Interrupted time-series analysis with brief single-subject data. Journal of Consulting and Clinical Psychology 61: 966–974.
    • (1993) Journal of Consulting and Clinical Psychology , vol.61 , pp. 966-974
    • Crosbie, J.1
  • 10
    • 85010052701 scopus 로고    scopus 로고
    • Conducting interrupted time-series analysis for single- and multiplegroup comparisons
    • Linden, A. 2015. Conducting interrupted time-series analysis for single- and multiplegroup comparisons. Stata Journal 15: 480–500.
    • (2015) Stata Journal , vol.15 , pp. 480-500
    • Linden, A.1
  • 11
    • 3242681474 scopus 로고    scopus 로고
    • The generalizability of disease management program results: Getting from here to there
    • Linden, A., J. Adams, and N. Roberts. 2004. The generalizability of disease management program results: Getting from here to there. Managed Care Interface 17: 38–45.
    • (2004) Managed Care Interface , vol.17 , pp. 38-45
    • Linden, A.1    Adams, J.2    Roberts, N.3
  • 12
    • 77149163479 scopus 로고    scopus 로고
    • Evaluating health management programmes over time: Application of propensity score-based weighting to longitudinal data
    • Linden, A., and J. L. Adams. 2010. Evaluating health management programmes over time: Application of propensity score-based weighting to longitudinal data. Journal of Evaluation in Clinical Practice 16: 180–185.
    • (2010) Journal of Evaluation in Clinical Practice , vol.16 , pp. 180-185
    • Linden, A.1    Adams, J.L.2
  • 13
    • 80755168308 scopus 로고    scopus 로고
    • Applying a propensity score-based weighting model to interrupted time series data: Improving causal inference in programme evaluation
    • Linden, A., and J. L. Adams. 2011. Applying a propensity score-based weighting model to interrupted time series data: Improving causal inference in programme evaluation. Journal of Evaluation in Clinical Practice 17: 1231–1238.
    • (2011) Journal of Evaluation in Clinical Practice , vol.17 , pp. 1231-1238
    • Linden, A.1    Adams, J.L.2
  • 15
    • 0034149983 scopus 로고    scopus 로고
    • A double bootstrap method to analyze linear models with autoregressive error terms
    • McKnight, S. D., J. W. McKean, and B. E. Huitema. 2000. A double bootstrap method to analyze linear models with autoregressive error terms. Psychological Methods 5: 87–101.
    • (2000) Psychological Methods , vol.5 , pp. 87-101
    • McKnight, S.D.1    McKean, J.W.2    Huitema, B.E.3
  • 16
    • 0346955658 scopus 로고    scopus 로고
    • The impact of bootstrap methods on time series analysis
    • Politis, D. N. 2003. The impact of bootstrap methods on time series analysis. Statistical Science 18: 219–230.
    • (2003) Statistical Science , vol.18 , pp. 219-230
    • Politis, D.N.1
  • 18
    • 0001218120 scopus 로고
    • Cross-sectional time-series experiments: Some suggested statistical analyses
    • Simonton, D. K. 1977a. Cross-sectional time-series experiments: Some suggested statistical analyses. Psychological Bulletin 84: 489–502.
    • (1977) Psychological Bulletin , vol.84 , pp. 489-502
    • Simonton, D.K.1
  • 20
    • 84973815417 scopus 로고
    • The reliability and accuracy of time series model identification
    • Velicer, W. F., and J. Harrop. 1983. The reliability and accuracy of time series model identification. Evaluation Review 7: 551–560.
    • (1983) Evaluation Review , vol.7 , pp. 551-560
    • Velicer, W.F.1    Harrop, J.2
  • 21
    • 0007218472 scopus 로고
    • Cross-sectional time series designs: A general transformation approach
    • Velicer, W. F., and R. P. McDonald. 1991. Cross-sectional time series designs: A general transformation approach. Multivariate Behavioral Research 26: 247–254.
    • (1991) Multivariate Behavioral Research , vol.26 , pp. 247-254
    • Velicer, W.F.1    McDonald, R.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.