Penalized estimation in parametric frailty model

被引：0
|
作者：
Ahelali, Marwan H. [1 ]
Alamri, Osama Abdulaziz [2 ]
Sirohi, Anu [3 ]
机构：
[1] Univ Tabuk, Dept Stat, Tabuk 71491, Saudi Arabia
[2] Univ Tabuk, Dept Stat, Tabuk 71491, Saudi Arabia
[3] Amity Univ, Dept Stat, AIAS, Noida, India
来源：
HELIYON | 2024年 / 10卷 / 16期
关键词：
Frailty model; Collinearity; Ridge estimator; Principal component estimator; Infant mortality; RELIABILITY ESTIMATION; LOGISTIC-REGRESSION; RIDGE REGRESSION; COLLINEARITY; SURVIVAL;
D O I：
10.1016/j.heliyon.2024.e35848
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Frailty model examines the effect of observable and non-observable factors on time to event data. Presence of collinearity produces unstable estimates of parameters. Therefore, this research focus on the penalized estimation of frailty model and proposed the new estimator which is the extension of ridge and principal component estimators. Simulation is run to reveal the performance of proposed estimator. Moreover, the technique is applied on NFHS (National Family Health Survey) data to examine the infant mortality in India.
引用
收藏
页数：9
相关论文
共 50 条
  • [1] Lasso estimation in parametric frailty model
    Sirohi, Anu
    Jha, Prem Shanker
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2023, 44 (01): : 1 - 8
  • [2] Maximum penalized likelihood estimation in a gamma- frailty model
    Rondeau, V
    Commenges, D
    Joly, P
    LIFETIME DATA ANALYSIS, 2003, 9 (02) : 139 - 153
  • [3] Maximum Penalized Likelihood Estimation in a Gamma-Frailty Model
    Virginie Rondeau
    Daniel Commenges
    Pierre Joly
    Lifetime Data Analysis, 2003, 9 : 139 - 153
  • [4] Penalized Direct Estimation of Parametric Images in PET
    Kim, Kyungsang
    El Fakhri, Georges
    Li, Quanzheng
    2015 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2015,
  • [5] Penalized Direct Estimation of Parametric PET Image
    Kim, Kyungsang
    El Fakhri, Georges
    Li, Quanzheng
    JOURNAL OF NUCLEAR MEDICINE, 2016, 57
  • [6] Estimation and variable selection via frailty models with penalized likelihood
    Androulakis, E.
    Koukouvinos, C.
    Vonta, F.
    STATISTICS IN MEDICINE, 2012, 31 (20) : 2223 - 2239
  • [7] Nested frailty models using maximum penalized likelihood estimation
    Rondeau, V.
    Filleul, L.
    Joly, P.
    STATISTICS IN MEDICINE, 2006, 25 (23) : 4036 - 4052
  • [8] Estimation of multivariate frailty models using penalized partial likelihood
    Ripatti, S
    Palmgren, J
    BIOMETRICS, 2000, 56 (04) : 1016 - 1022
  • [9] Penalized proportion estimation for non parametric mixture of regressions
    Ji, Qinghua
    Ji, Zheng
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (07) : 1537 - 1560
  • [10] ON THE UNIFORM FRAILTY MODEL WITH PENALIZED LIKELIHOOD AND CLUSTERED DATA
    Androulakis, Emmanouil
    Koukouvinos, Christos
    Vonta, Filia
    JOURNAL OF RELIABILITY AND STATISTICAL STUDIES, 2012, 5 : 97 - 106
12345