Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health and Eating (FLASHE) Study

Benmei Liu; Erin Hennessy; April Oh; Laura A. Dwyer; Linda Nebeling

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Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health and Eating (FLASHE) Study

机译：具有高缺失率的分类调查项目多重估算方法的比较：适用于家庭生活，活动，阳光，健康和饮食（闪光）研究

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Two multiple imputation methods, the Sequential Regression Multivariate Imputation Algorithm and the Cox-Lannacchione Weighted Sequential Hotdeck, were examined and compared to impute highly missing categorical variables from the Family Life, Activity, Sun, Health and Eating (FLASHE) study. This paper describes the imputation approaches and results from the study.

机译：检查了两个多重估算方法，顺序回归多变量归纳算法和Cox-Lannacchione加权顺序热量，并与家庭生活，活动，太阳，健康和进食（闪光）研究施加高度缺失的分类变量。本文介绍了该研究的归纳方法和结果。

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《Journal of Modern Applied Statistical Methods》 |2018年第1期|共20页
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Benmei Liu; Erin Hennessy; April Oh; Laura A. Dwyer; Linda Nebeling;
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Perceptional categorical datahigh missing ratesmultiple imputation;

机译：感知分类数据高度缺失的额定估算;

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1. Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health and Eating (FLASHE) Study [J] . Benmei Liu, Erin Hennessy, April Oh, Journal of Modern Applied Statistical Methods . 2018,第1期

机译：具有高缺失率的分类调查项目多重估算方法的比较：适用于家庭生活，活动，阳光，健康和饮食（闪光）研究
2. Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey [J] . Hugo Peyre, Alain Leplège, Joël Coste Quality of Life Research . 2011,第2期

机译：用于处理生活质量问卷中缺失项目的缺失数据方法。通过对法国2003年十年健康调查中SF-36所使用的个人平均得分，最大信息的最大信息可能性，多次归因和热甲板技术的模拟进行比较
3. Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey. [J] . Peyre H, Leplege A, Coste J Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation . 2011,第2期

机译：用于处理生活质量问卷中缺失项目的缺失数据方法。通过对法国2003十年期健康调查中SF-36所使用的个人平均得分，全部信息的最大可能性，多次归因和热甲板技术的模拟进行比较。
4. A Survey on Missing Information Strategies and Imputation Methods in Healthcare [C] . Saroj KumarPandey, Rekh RamJanghel 2018 8th International Conference on Cloud Computing, Data Science amp; Engineering . 2018

机译：医疗保健中信息战略缺失和归因方法调查
5. Evaluating Multiple Imputation Methods for Longitudinal Healthy Aging Index—A Score Variable with Data Missing Due to Death, Dropout and Several Missing Data Mechanisms [D] . Kane, Elizabeth L. 2017

机译：纵向健康老龄化指数的多种估算方法的评估-一个因死亡，辍学和几种缺失数据机制导致数据缺失的得分变量
6. Frequency of eating alone is associated with adolescent dietary intake perceived food-related parenting practices and weight status: cross-sectional Family Life Activity Sun Health and Eating (FLASHE) Study results [O] . Marla Reicks, Cynthia Davey, Alex Kojo Anderson, -1

机译：单独进食的频率与青少年的饮食摄入量与食物相关的育儿习惯以及体重状况有关：家庭生活活动阳光健康和饮食的横断面研究（FLASHE）
7. Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health and Eating (FLASHE) Study [O] . Benmei Liu, Erin Hennessy, April Oh, 2018

机译：具有高缺失率的分类调查项目多重估算方法的比较：适用于家庭生活，活动，阳光，健康和饮食（闪光）研究

Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health and Eating (FLASHE) Study

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