메뉴 건너뛰기




Volumn 8, Issue 2, 2014, Pages 703-725

Effect of breastfeeding on gastrointestinal infection in infants: A targeted maximum likelihood approach for clustered longitudinal data

Author keywords

Causal inference; G computation; Inverse probability weighting; Marginal effects; Missing data; Pediatrics

Indexed keywords


EID: 84903777968     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/14-AOAS727     Document Type: Article
Times cited : (46)

References (32)
  • 1
    • 33644851650 scopus 로고    scopus 로고
    • Doubly robust estimation in missing data and causal inference models
    • MR2216189
    • BANG, H. and ROBINS, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics 61 962-972. MR2216189
    • (2005) Biometrics , vol.61 , pp. 962-972
    • Bang, H.1    Robins, J.M.2
  • 3
    • 18244374197 scopus 로고    scopus 로고
    • The apgar score has survived the test of time
    • FINSTER, M. andWOOD, M. (2005). The apgar score has survived the test of time. Anesthesiology 102 855-857.
    • (2005) Anesthesiology , vol.102 , pp. 855-857
    • Finster, M.1    Wood, M.2
  • 4
    • 84903776375 scopus 로고    scopus 로고
    • A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome
    • 6 Art, MR2672338
    • GRUBER, S. and VAN DER LAAN, M. J. (2010). A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome. Int. J. Biostat. 6 Art. 26, 16. MR2672338
    • (2010) Int. J. Biostat. , vol.26 , pp. 16
    • Gruber, S.1    Van Der Laan, M.J.2
  • 6
    • 0033839024 scopus 로고    scopus 로고
    • Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men
    • HERNÁN, M. A., BRUMBACK, B. and ROBINS, J. M. (2000). Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology 11 561-570.
    • (2000) Epidemiology , vol.11 , pp. 561-570
    • Hernán, M.A.1    Brumback, B.2    Robins, J.M.3
  • 7
    • 46249131752 scopus 로고    scopus 로고
    • Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
    • MR2420458
    • KANG, J. D. Y. and SCHAFER, J. L. (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statist. Sci. 22 523-539. MR2420458
    • (2007) Statist. Sci. , vol.22 , pp. 523-539
    • Kang, J.D.Y.1    Schafer, J.L.2
  • 15
    • 84903763801 scopus 로고    scopus 로고
    • R DEVELOPMENT CORE TEAM (2011). R: A Language and Environment for Statistical Computing. Vienna, Austria. ISBN 3-900051-07-0
    • POLLEY, E. C. and VAN DER LAAN, M. J. (2011). Package "SuperLearner, " 2.0-4 ed. R DEVELOPMENT CORE TEAM (2011). R: A Language and Environment for Statistical Computing. Vienna, Austria. ISBN 3-900051-07-0.
    • (2011) Package "SuperLearner, " 2.0-4 ed.
    • Polley, E.C.1    Van Der Laan, M.J.2
  • 16
    • 46149139403 scopus 로고
    • A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect
    • MR0877758
    • ROBINS, J. (1986). A new approach to causal inference in mortality studies with a sustained exposure period-application to control of the healthy worker survivor effect. Math. Modelling 7 1393-1512. MR0877758
    • (1986) Math. Modelling , vol.7 , pp. 1393-1512
    • Robins, J.1
  • 17
    • 0033847784 scopus 로고    scopus 로고
    • Marginal structural models and causal inference in epidemiology
    • ROBINS, J. M., HERNÁN, M. A. andBRUMBACK, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology 11 550-560.
    • (2000) Epidemiology , vol.11 , pp. 550-560
    • Robins, J.M.1    Hernán, M.A.2    Brumback, B.3
  • 18
    • 0001425735 scopus 로고
    • Recovery of information and adjustment for dependent censoring using surrogate markers
    • In (N. Jewell, K. Dietz and V. Farewell, eds.). Birkhäuser, Boston, MA
    • ROBINS, J.M. and ROTNITZKY, A. (1992). Recovery of information and adjustment for dependent censoring using surrogate markers. In AIDS Epidemiology-Methodological Issues (N. Jewell, K. Dietz and V. Farewell, eds.) 297-331. Birkhäuser, Boston, MA.
    • (1992) AIDS Epidemiology-Methodological Issues , pp. 297-331
    • Robins, J.M.1    Rotnitzky, A.2
  • 20
    • 77952025261 scopus 로고    scopus 로고
    • Targeted maximum likelihood estimation of the parameter of a marginal structural model
    • 6 Art. MR2644388
    • ROSENBLUM, M. and VAN DER LAAN, M. J. (2010b). Targeted maximum likelihood estimation of the parameter of a marginal structural model. Int. J. Biostat. 6 Art. 19, 23. MR2644388
    • (2010) Int. J. Biostat. , vol.19 , pp. 23
    • Rosenblum, M.1    Van Der Laan, M.J.2
  • 21
    • 58149417330 scopus 로고
    • Estimating causal effects of treatments in randomized and nonrandomized studies
    • RUBIN, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66 688-701.
    • (1974) Journal of Educational Psychology , vol.66 , pp. 688-701
    • Rubin, D.B.1
  • 22
    • 0002531157 scopus 로고
    • Bayesian inference for causal effects: The role of randomization
    • MR0472152
    • RUBIN, D. B. (1978). Bayesian inference for causal effects: The role of randomization. Ann. Statist. 6 34-58. MR0472152
    • (1978) Ann. Statist. , vol.6 , pp. 34-58
    • Rubin, D.B.1
  • 23
    • 84871249108 scopus 로고    scopus 로고
    • Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecification
    • SCHNITZER, M. E., MOODIE, E. E. M. and PLATT, R. W. (2013). Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecification. Biostatistics 14 1-14.
    • (2013) Biostatistics , vol.14 , pp. 1-14
    • Schnitzer, M.E.1    Moodie, E.E.M.2    Platt, R.W.3
  • 25
    • 79953852789 scopus 로고    scopus 로고
    • Implementation of G-computation on a simulated data set: Demonstration of a causal inference technique
    • SNOWDEN, J. M., ROSE, S. and MORTIMER, K. M. (2011). Implementation of G-computation on a simulated data set: Demonstration of a causal inference technique. Am. J. Epidemiol. 173 731-738.
    • (2011) Am. J. Epidemiol. , vol.173 , pp. 731-738
    • Snowden, J.M.1    Rose, S.2    Mortimer, K.M.3
  • 26
    • 84907611570 scopus 로고    scopus 로고
    • A general implementation of TMLE for longitudinal data applied to causal inference in survival analysis
    • Art. 26, front matter+37. MR2997676
    • STITELMAN, O.M., DE GRUTTOLA, V. and VAN DER LAAN, M. J. (2012). A general implementation of TMLE for longitudinal data applied to causal inference in survival analysis. Int. J. Biostat. 8 Art. 26, front matter+37. MR2997676
    • (2012) Int. J. Biostat. , vol.8
    • Stitelman, O.M.1    De Gruttola, V.2    Van Der Laan, M.J.3
  • 28
    • 84903751905 scopus 로고    scopus 로고
    • Targeted maximum likelihood based causal inference
    • 6 Art. MR2595112
    • VAN DER LAAN, M. J. (2010). Targeted maximum likelihood based causal inference. I. Int. J. Biostat. 6 Art. 2, 44. MR2595112
    • (2010) I. Int. J. Biostat. , vol.2 , pp. 44
    • Van Der Laan, M.J.1
  • 29
    • 84907657365 scopus 로고    scopus 로고
    • Targeted minimum loss based estimation of causal effects of multiple time point interventions
    • 8 Art. MR2923282
    • VAN DER LAAN, M. J. and GRUBER, S. (2012). Targeted minimum loss based estimation of causal effects of multiple time point interventions. Int. J. Biostat. 8 Art. 9, 41. MR2923282
    • (2012) Int. J. Biostat. , vol.9 , pp. 41
    • Van Der Laan, M.J.1    Gruber, S.2
  • 31
    • 33845971550 scopus 로고    scopus 로고
    • Targeted maximum likelihood learning
    • 2 Art. MR2306500
    • VAN DER LAAN, M. J. andRUBIN, D. (2006). Targeted maximum likelihood learning. Int. J. Biostat. 2 Art. 11, 40. MR2306500
    • (2006) Int. J. Biostat. , vol.11 , pp. 40
    • Van Der Laan, M.J.1    Rubin, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.