A comparative study of forest methods for time-to-event data: variable selection and predictive performance

被引：0
|
作者：
Yingxin Liu
Shiyu Zhou
Hongxia Wei
Shengli An
机构：
[1] Southern Medical University,Department of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research)
来源：
BMC Medical Research Methodology | / 21卷
关键词：
Survival analysis; Random survival Forest; Conditional inference Forest; Maximally selected rank statistics; Machine learning; Variable selection; Brier score;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] A comparative study of forest methods for time-to-event data: variable selection and predictive performance
    Liu, Yingxin
    Zhou, Shiyu
    Wei, Hongxia
    An, Shengli
    BMC MEDICAL RESEARCH METHODOLOGY, 2021, 21 (01)
  • [2] Combined performance of screening and variable selection methods in ultra-high dimensional data in predicting time-to-event outcomes
    Lira Pi
    Susan Halabi
    Diagnostic and Prognostic Research, 2 (1)
  • [3] Penalized variable selection in copula survival models for clustered time-to-event data
    Kwon, Sookhee
    Ha, Il Do
    Kim, Jong-Min
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2020, 90 (04) : 657 - 675
  • [4] Performance of methods to conduct mediation analysis with time-to-event outcomes
    Ochoa, Lizbeth Burgos
    Rijnhart, Judith J. M.
    Penninx, Brenda W.
    Wardenaar, Klaas J.
    Twisk, Jos W. R.
    Heymans, Martijn W.
    STATISTICA NEERLANDICA, 2020, 74 (01) : 72 - 91
  • [5] Quantifying and estimating the predictive accuracy for censored time-to-event data with competing risks
    Wu, Cai
    Li, Liang
    STATISTICS IN MEDICINE, 2018, 37 (21) : 3106 - 3124
  • [6] Analysis of time-to-event data with incomplete event adjudication
    Cook, TD
    Kosorok, MR
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2004, 99 (468) : 1140 - 1152
  • [7] Beyond the Cox Model: Applying Machine Learning Techniques with Time-to-Event Data
    Pierri, Francesca
    Perri, Damiano
    Caroni, Chrys
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2024 WORKSHOPS, PT I, 2024, 14815 : 412 - 427
  • [8] Time-To-Event Data: An Overview and Analysis Considerations
    Le-Rademacher, Jennifer
    Wang, Xiaofei
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (07) : 1067 - 1074
  • [9] Germination Data Analysis by Time-to-Event Approaches
    Romano, Alessandro
    Stevanato, Piergiorgio
    PLANTS-BASEL, 2020, 9 (05):
  • [10] Approximation of Bayesian models for time-to-event data
    Catalano, Marta
    Lijoi, Antonio
    Prunster, Igor
    ELECTRONIC JOURNAL OF STATISTICS, 2020, 14 (02): : 3366 - 3395
12345