改进型卡尔曼滤波器宏：用户指南。
The Modified Kalman Filter Macro: User's Guide.
作者信息
Setodji Claude Messan, Lockwood J R, McCaffrey Daniel F, Elliott Marc N, Adams John L
出版信息
Rand Health Q. 2012 Mar 1;2(1):18. eCollection 2012 Spring.
Abstract
The Modified Kalman Filter approach for pooling information across time and across outcomes is shown to improve accuracy in national estimates of health outcomes, including cancer, diabetes, and hypertension, especially in small racial/ethnic subgroups. The developed SAS macro models true health states in each subgroup assuming a linear time evolution and an autoregressive deviation around such trend. The macro provides multiple options for users.
摘要
用于跨时间和跨结果汇总信息的修正卡尔曼滤波方法被证明可提高国家健康结果估计的准确性，这些结果包括癌症、糖尿病和高血压，尤其是在小种族/族裔亚组中。所开发的SAS宏在假设线性时间演变以及围绕该趋势的自回归偏差的情况下，对每个亚组中的真实健康状态进行建模。该宏为用户提供了多种选项。
相似文献
1
The Modified Kalman Filter Macro: User's Guide.改进型卡尔曼滤波器宏：用户指南。
Rand Health Q. 2012 Mar 1;2(1):18. eCollection 2012 Spring.
2
Ordinary differential equation PK/PD models using the SAS macro NLINMIX.使用SAS宏NLINMIX的常微分方程PK/PD模型。
J Biopharm Stat. 2004 May;14(2):483-503. doi: 10.1081/BIP-120037194.
3
Smoothing across time in repeated cross-sectional data.在重复横断面数据中进行时间平滑。
Stat Med. 2011 Feb 28;30(5):584-94. doi: 10.1002/sim.3897. Epub 2011 Feb 3.
4
An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine Interfaces.一种基于改进型无迹卡尔曼滤波器的皮层脑机接口解码器
Front Neurosci. 2016 Dec 22;10:587. doi: 10.3389/fnins.2016.00587. eCollection 2016.
5
Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model.基于 GNSS 数据的卡尔曼-ARIMA-GARCH 模型的桥梁结构变形预测。
Sensors (Basel). 2018 Jan 19;18(1):298. doi: 10.3390/s18010298.
6
Cortical Decoding of Individual Finger Group Motions Using ReFIT Kalman Filter.使用ReFIT卡尔曼滤波器对单个手指组运动进行皮层解码。
Front Neurosci. 2018 Nov 5;12:751. doi: 10.3389/fnins.2018.00751. eCollection 2018.
7
A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model.基于神经元的具有非线性自回归模型的卡尔曼滤波器。
Sensors (Basel). 2020 Jan 5;20(1):299. doi: 10.3390/s20010299.
8
An Improved Interacting Multiple Model Filtering Algorithm Based on the Cubature Kalman Filter for Maneuvering Target Tracking.一种基于容积卡尔曼滤波器的改进交互式多模型滤波算法用于机动目标跟踪
Sensors (Basel). 2016 Jun 1;16(6):805. doi: 10.3390/s16060805.
9
Audio Guide for Visually Impaired People Based on Combination of Stereo Vision and Musical Tones.基于立体视觉和乐音组合的视障人士音频指南。
Sensors (Basel). 2019 Dec 25;20(1):151. doi: 10.3390/s20010151.
10
Improved Spatial Registration and Target Tracking Method for Sensors on Multiple Missiles.多枚导弹传感器的改进空间配准与目标跟踪方法。
Sensors (Basel). 2018 May 27;18(6):1723. doi: 10.3390/s18061723.
本文引用的文献
1
Smoothing across time in repeated cross-sectional data.在重复横断面数据中进行时间平滑。
Stat Med. 2011 Feb 28;30(5):584-94. doi: 10.1002/sim.3897. Epub 2011 Feb 3.
2
Improving disparity estimates for rare racial/ethnic groups with trend estimation and Kalman filtering: an application to the National Health Interview Survey.利用趋势估计和卡尔曼滤波改进对罕见种族/族裔群体的差异估计：在国家健康访谈调查中的应用
Health Serv Res. 2009 Oct;44(5 Pt 1):1622-39. doi: 10.1111/j.1475-6773.2009.01000.x. Epub 2009 Jul 27.
3
4
Healthy People 2010 criteria for data suppression.《健康人民2010》数据抑制标准。
Healthy People 2010 Stat Notes. 2002 Jul(24):1-12.
Zotero 插件