Handling missing birthdates in marginal regression analysis with recurrent events

被引：1
|
作者：
Pietrosanu, Matthew [1 ]
Rosychuk, Rhonda J. [2 ,3 ]
Hu, X. Joan [4 ]
机构：
[1] Univ Alberta, Dept Math & Stat Sci, Edmonton, AB, Canada
[2] Univ Alberta, Dept Pediat, Edmonton, AB, Canada
[3] Women & Childrens Hlth Res Inst, Edmonton, AB, Canada
[4] Simon Fraser Univ, Dept Stat & Actuarial Sci, Burnaby, BC, Canada
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2021年 / 50卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Administrative health database; Birthdate distribution; Pediatric mental health care; Sample size; Simulation study; TIME-DEPENDENT COEFFICIENTS; SERVICES; RETURN; CHILD;
D O I：
10.1080/03610918.2018.1554106
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In attempt to provide a practical guide to handling missing birthdate information, this paper examines the strategy proposed by Hu and Rosychuk (2016) for estimating age-varying effects in a marginal regression analysis of recurrent event times. We conduct empirical studies based on the same dataset that motivated Hu and Rosychuk's research and explore how analysis outcomes differ when using different distributions for missing birthdates in situations with different sample sizes. Our studies show that Hu and Rosychuk's assumption of uniformly-distributed birthdates is an appropriate and computationally efficient solution to restricted birthdate information with a reasonably large sample.
引用
收藏
页码：142 / 152
页数：11
相关论文
共 50 条
  • [41] REGRESSION-ANALYSIS, RESIDUAL ANALYSIS AND MISSING VARIABLES IN REGRESSION-MODELS
    FRAMSTAD, E
    ENGEN, S
    STENSETH, NC
    OIKOS, 1985, 44 (02) : 319 - 323
  • [42] Confidence intervals for marginal parameters under fractional linear regression imputation for missing data
    Qin, Yongsong
    Rao, J. N. K.
    Ren, Qunshu
    JOURNAL OF MULTIVARIATE ANALYSIS, 2008, 99 (06) : 1232 - 1259
  • [43] Plug-in marginal estimation under a general regression model with missing responses and covariates
    Ana M. Bianco
    Graciela Boente
    Wenceslao González-Manteiga
    Ana Pérez-González
    TEST, 2019, 28 : 106 - 146
  • [44] Plug-in marginal estimation under a general regression model with missing responses and covariates
    Bianco, Ana M.
    Boente, Graciela
    Gonzalez-Manteiga, Wenceslao
    Perez-Gonzalez, Ana
    TEST, 2019, 28 (01) : 106 - 146
  • [45] BAYESIAN SEMIPARAMETRIC JOINT REGRESSION ANALYSIS OF RECURRENT ADVERSE EVENTS AND SURVIVAL IN ESOPHAGEAL CANCER PATIENTS
    Lee, Juhee
    Thall, Peter F.
    Lin, Steven H.
    ANNALS OF APPLIED STATISTICS, 2019, 13 (01): : 221 - 247
  • [46] Inverse probability weighted estimation for recurrent events data with missing category
    Lin, Feng-Chang
    Cai, Jianwen
    Deng, Yu
    Esther Jr, Charles R.
    STATISTICS IN MEDICINE, 2021, 40 (12) : 2765 - 2782
  • [47] A general approach to handling missing values in Procrustes analysis
    Albers, Casper J.
    Gower, John C.
    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2010, 4 (04) : 223 - 237
  • [48] Analysis of recurrent hypoglycemic events
    Ma, Chenchen
    Qu, Yongming
    Fu, Haoda
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2021, 31 (01) : 5 - 13
  • [49] A general approach to handling missing values in Procrustes analysis
    Casper J. Albers
    John C. Gower
    Advances in Data Analysis and Classification, 2010, 4 : 223 - 237
  • [50] Readmission risk in schizophrenics: Application of a frailty model for the handling of recurrent events
    Olesen, AV
    Mortensen, PB
    Munk-Jorgensen, P
    SCHIZOPHRENIA RESEARCH, 2000, 41 (01) : 77 - 77
12345