The STRAND Chart: A survival time control chart

被引:9
|
作者
Grigg, Olivia A. J. [1 ]
机构
[1] Univ Cambridge, MRC Biostat Unit, Cambridge, England
关键词
control chart; performance monitoring; quality control; risk adjustment; survival; CUSUM; MODELS; TESTS;
D O I
10.1002/sim.8065
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The STRAND Chart (Survival Time, Risk-Adjusted, N-Division Chart) is a new tool for online risk-adjusted (RA) monitoring of survival outcomes. The chart is drawn in continuous time, making it responsive to change in the process of interest, for example, performance over time of a surgical unit and the procedures that they employ. Though it is difficult to achieve with charts designed for the purpose described, we show that our suggested chart keeps patient ordering intact. We discuss the difficulties maintaining patient ordering poses, making reference to other charts in the literature. Our conclusion is that the best approach to preserving patient ordering on any chart of this nature involves compromising on the fullness of presentation of the recorded data. The chart is divided into N strands, each strand relating to a benchmark patient's survival information at t(n) days following treatment, n = 1,2, horizontal ellipsis ,N. We present a simple version of the chart where the strands consist of Bernoulli RA exponentially weighted moving averages, recording RA failure rates at t(n) days. It can detect recent process change and historical change. We illustrate the STRAND Chart using a well-known UK post cardiac surgery survival dataset, where the nature of a certain cluster in the data can be seen.
引用
收藏
页码:1651 / 1661
页数:11
相关论文
共 50 条
  • [1] A Control Scheme Integrating the T Chart and TCUSUM Chart
    Qu, Liang
    Wu, Zhang
    Liu, Tien-I
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2011, 27 (04) : 529 - 539
  • [2] SXC control chart
    Wu, Zhang
    Xie, Ming
    Liu, Qingchuan
    Zhang, Yu
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 30 (5-6) : 444 - 451
  • [3] SXC control chart
    Zhang Wu
    Ming Xie
    Qingchuan Liu
    Yu Zhang
    The International Journal of Advanced Manufacturing Technology, 2006, 30 : 444 - 451
  • [4] A risk-adjusted EWMA chart with dynamic probability control limits for monitoring survival time
    Tighkhorshid, Elahe
    Amiri, Amirhossein
    Amirkhani, Farzad
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 51 (03) : 1333 - 1354
  • [5] Risk-adjusted survival time monitoring with an updating exponentially weighted moving average (EWMA) control chart
    Steiner, Stefan H.
    Jones, Mark
    STATISTICS IN MEDICINE, 2010, 29 (04) : 444 - 454
  • [6] The effect of continuously updating control chart limits on control chart performance
    Huberts, Leo C. E.
    Schoonhoven, Marit
    Does, Ronald J. M. M.
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2019, 35 (04) : 1117 - 1128
  • [7] ATTRIBUTE CONTROL CHART
    Perez Bernabeu, Elena
    Selles Canto, Miguel Angel
    Gisbert Soler, Victor
    3C EMPRESA, 2012, 1 (03):
  • [8] Fuzzy control chart a better alternative for shewhart average chart
    Faraz, Alireza
    Moghadam, M. Bameni
    QUALITY & QUANTITY, 2007, 41 (03) : 375 - 385
  • [9] SUrvival Control Chart EStimation Software in R: the success Package
    Gomon, Daniel
    Fiocco, Marta
    Putter, Hein
    Signorelli, Mirko
    R JOURNAL, 2023, 15 (04): : 270 - 291
  • [10] Fuzzy Control Chart A Better Alternative for Shewhart Average Chart
    Alireza Faraz
    M. Bameni Moghadam
    Quality & Quantity, 2007, 41 : 375 - 385