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Volumn 25, Issue 6, 2014, Pages 886-888

Interpretation and sensitivity analysis for the localized average causal effect curve

Author keywords

[No Author keywords available]

Indexed keywords

EPIDEMIOLOGY; EXPOSURE; LINEAR SYSTEM; MENDELIAN RANDOMIZATION ANALYSIS; NONLINEAR SYSTEM; NOTE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; HUMAN; PROCEDURES;

EID: 84927760345     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000187     Document Type: Note
Times cited : (13)

References (6)
  • 1
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    • Instrumental variable analysis with a nonlinear exposure-outcome relationship
    • Burgess S, Davies N, Thompson S. Instrumental variable analysis with a nonlinear exposure-outcome relationship. Epidemiology.
    • Epidemiology
    • Burgess, S.1    Davies, N.2    Thompson, S.3
  • 2
    • 0036188782 scopus 로고    scopus 로고
    • Principal stratification in causal inference
    • Frangakis C, Rubin D. Principal stratification in causal inference. Biometrics. 2002;58:21-29.
    • (2002) Biometrics. , vol.58 , pp. 21-29
    • Frangakis, C.1    Rubin, D.2
  • 3
    • 42349084894 scopus 로고    scopus 로고
    • Principal stratification for causal inference with extended partial compliance
    • Jin H, Rubin D. Principal stratification for causal inference with extended partial compliance. J Am Stat Assoc. 2008;103:101-111.
    • (2008) J Am Stat Assoc. , vol.103 , pp. 101-111
    • Jin, H.1    Rubin, D.2
  • 4
    • 79960139755 scopus 로고    scopus 로고
    • Modeling partial compliance through copulas in the princi-pal stratification framework
    • Bartolucci F, Grilli L. Modeling partial compliance through copulas in the princi-pal stratification framework. J Am Stat Assoc. 2011;106:469-479.
    • (2011) J Am Stat Assoc. , vol.106 , pp. 469-479
    • Bartolucci, F.1    Grilli, L.2
  • 5
    • 84856017133 scopus 로고    scopus 로고
    • A bayesian semiparametric approach to intermediate variables in causal inference
    • Schwartz S, Li F, Mealli F. A bayesian semiparametric approach to intermediate variables in causal inference. J Am Stat Assoc. 2011:106:1331-1344.
    • (2011) J Am Stat Assoc. , vol.106 , pp. 1331-1344
    • Schwartz, S.1    Li, F.2    Mealli, F.3
  • 6
    • 79960562295 scopus 로고    scopus 로고
    • Causal models for randomized trials with two active treatments and continuous compliance
    • Ma Y, Roy J, Marcus B. Causal models for randomized trials with two active treatments and continuous compliance. Stat Med. 2011;30:2349-2362.
    • (2011) Stat Med. , vol.30 , pp. 2349-2362
    • Ma, Y.1    Roy, J.2    Marcus, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.