Specifying the Correlation Structure in Inverse-Probability-Weighting Estimation for Repeated Measures

被引:34
|
作者
Tchetgen, Eric J. Tchetgen [1 ,2 ]
Glymour, M. Maria [3 ]
Weuve, Jennifer [4 ]
Robins, James [1 ,2 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Dept Soc Human Dev & Hlth, Boston, MA 02115 USA
[4] Rush Univ, Med Ctr, Dept Internal Med, Rush Inst Hlth Aging, Chicago, IL 60612 USA
关键词
REGRESSION-MODELS; MISSING DATA;
D O I
10.1097/EDE.0b013e31825727b5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
引用
收藏
页码:644 / 646
页数:4
相关论文
共 44 条
  • [31] A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures
    Cruz, N. A.
    Melo, O. O.
    Martinez, C. A.
    STATISTICAL PAPERS, 2024, 65 (01) : 263 - 290
  • [32] Classification rules for triply multivariate data with an AR(1) correlation structure on the repeated measures over time
    Leiva, Ricardo
    Roy, Anuradha
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2009, 139 (08) : 2598 - 2613
  • [33] A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures
    N. A. Cruz
    O. O. Melo
    C. A. Martinez
    Statistical Papers, 2024, 65 : 263 - 290
  • [34] MAXIMUM-LIKELIHOOD ESTIMATION FOR INCOMPLETE REPEATED-MEASURES EXPERIMENTS UNDER AN ARMA COVARIANCE STRUCTURE
    ROCHON, J
    HELMS, RW
    BIOMETRICS, 1989, 45 (01) : 207 - 218
  • [35] Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records
    Sayon-Orea, Carmen
    Moreno-Iribas, Conchi
    Delfrade, Josu
    Sanchez-Echenique, Manuela
    Amiano, Pilar
    Ardanaz, Eva
    Gorricho, Javier
    Basterra, Garbine
    Nuin, Marian
    Guevara, Marcela
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
  • [36] Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records
    Carmen Sayon-Orea
    Conchi Moreno-Iribas
    Josu Delfrade
    Manuela Sanchez-Echenique
    Pilar Amiano
    Eva Ardanaz
    Javier Gorricho
    Garbiñe Basterra
    Marian Nuin
    Marcela Guevara
    BMC Medical Informatics and Decision Making, 20
  • [37] Effect Estimation in Point-Exposure Studies with Binary Outcomes and High-Dimensional Covariate Data-A Comparison of Targeted Maximum Likelihood Estimation and Inverse Probability of Treatment Weighting
    Pang, Menglan
    Schuster, Tibor
    Filion, Kristian B.
    Schnitzer, Mireille E.
    Eberg, Maria
    Platt, Robert W.
    INTERNATIONAL JOURNAL OF BIOSTATISTICS, 2016, 12 (02):
  • [38] Causal effects of dietary calcium, zinc and iron intakes on coronary artery disease in men: G-estimation and inverse probability of treatment weighting (IPTW) analyses
    Basnet, Til Bahadur
    Srijana, G. C.
    Basnet, Rajesh
    Neupane, Bidusha
    Thapa, Goma
    CLINICAL NUTRITION ESPEN, 2021, 42 : 73 - 81
  • [39] Two-stage estimation to adjust for treatment switching in randomised trials: a simulation study investigating the use of inverse probability weighting instead of re-censoring
    Latimer, N. R.
    Abrams, K. R.
    Siebert, U.
    BMC MEDICAL RESEARCH METHODOLOGY, 2019, 19 (1)
  • [40] Two-stage estimation to adjust for treatment switching in randomised trials: a simulation study investigating the use of inverse probability weighting instead of re-censoring
    N. R. Latimer
    K. R. Abrams
    U. Siebert
    BMC Medical Research Methodology, 19