메뉴 건너뛰기




Volumn 25, Issue 1, 2018, Pages 115-120

Discrete Time Survival Analysis Via Latent Variable Modeling: A Note on Lagged Depression Links to Stroke in Middle and Late Life

Author keywords

depression; discrete time survival analysis; latent variable modeling; time invariant covariate; time varying covariate; vascular depression hypothesis

Indexed keywords

BIOINFORMATICS; MEDICINE;

EID: 85020717085     PISSN: 10705511     EISSN: 15328007     Source Type: Journal    
DOI: 10.1080/10705511.2017.1327817     Document Type: Article
Times cited : (3)

References (17)
  • 4
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini, Y., & Hochberg, Y., (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B, 57, 289–300.
    • (1995) Journal of the Royal Statistical Society, Series B, 57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 8
    • 84884586419 scopus 로고    scopus 로고
    • Evaluating the seven-item Center for Epidemiologic Studies Depression scale short-form: A longitudinal US community study
    • Levine, S. Z., (2013). Evaluating the seven-item Center for Epidemiologic Studies Depression scale short-form: A longitudinal US community study. Social Psychiatry and Psychiatric Epidemiology, 48, 1519–1526. doi:10.1007/s00127-012-0650-2.
    • (2013) Social Psychiatry and Psychiatric Epidemiology , vol.48 , pp. 1519-1526
    • Levine, S.Z.1
  • 9
    • 0013297364 scopus 로고    scopus 로고
    • Beyond SEM: General latent variable modeling
    • Muthén, B. O., (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81–117.
    • (2002) Behaviormetrika , vol.29 , pp. 81-117
    • Muthén, B.O.1
  • 12
    • 84965520932 scopus 로고
    • The CES–D scale: A self-report depression scale for research in the general population
    • Radloff, L. S. (1977). The CES–D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401. doi:10.1177/014662167700100306
    • (1977) Applied Psychological Measurement , vol.1 , pp. 385-401
    • Radloff, L.S.1
  • 13
    • 0001201909 scopus 로고
    • Bayesian model selection in social research
    • Raftery, A. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163. doi:10.2307/271063
    • (1995) Sociological Methodology , vol.25 , pp. 111-163
    • Raftery, A.1
  • 14
    • 85033460927 scopus 로고    scopus 로고
    • Santa Monica, CA: Author
    • RAND Corporation. (2016). RAND HRS Data, Version P. Santa Monica, CA: Author.
    • (2016) RAND HRS Data, Version P.
  • 16
    • 85018258902 scopus 로고    scopus 로고
    • Discrete time survival analysis using latent variable modeling: An application to the study of the vascular depression hypothesis
    • Advance online publication
    • Raykov, T., Gorelick, P., Zajacova, A., & Marcoulides, G. A., (2017). Discrete time survival analysis using latent variable modeling: An application to the study of the vascular depression hypothesis. Structural Equation Modeling. Advance online publication. doi: 10.1080/10705511.2017.1315305
    • (2017) Structural Equation Modeling
    • Raykov, T.1    Gorelick, P.2    Zajacova, A.3    Marcoulides, G.A.4
  • 17
    • 84961203889 scopus 로고    scopus 로고
    • Testing criterion correlations with scale component measurement errors using latent variable modeling
    • Raykov, T., Marcoulides, G. A., Gabler, S., & Lee, Y., (2017). Testing criterion correlations with scale component measurement errors using latent variable modeling. Structural Equation Modeling, 24, 468–474. doi: 10.1080/10705511.2015.1136220
    • (2017) Structural Equation Modeling , vol.24 , pp. 468-474
    • Raykov, T.1    Marcoulides, G.A.2    Gabler, S.3    Lee, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.