Multiple Imputation For Combined-Survey Estimation With Incomplete Regressors In One But Not Both Surveys.
Multiple Imputation For Combined-Survey Estimation With Incomplete Regressors In One But Not Both Surveys.
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DOI：
10.1177/0049124113502947
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发表时间：
2013-11-01
影响因子：
6.3
通讯作者：
Nazarov Z
中科院分区：
文献类型：
--
作者：
Rendall MS;Ghosh-Dastidar B;Weden MM;Baker EH;Nazarov Z
调查内多重插补（MI）方法适用于汇总调查回归估计，其中一项调查具有更多的回归变量，但通常比其他调查具有更少的观测值。这种调整是通过以下方式实现的：（1）更大数量的插补，以补偿缺失值的较高比例;（2）模型拟合统计，以检查两项调查从一个共同的宇宙中抽样的假设;（3）完全从调查中存在的变量中指定分析模型，具有较大的回归变量集，从而排除从未共同观察到的变量。与典型的调查内MI背景相反，交叉调查缺失是单调的，并且很容易满足无偏MI所需的随机缺失（MAR）假设。大的效率增益和省略变量偏差的大幅减少被证明是在应用程序中的社会人口统计学差异的儿童肥胖的风险估计从两个国家代表性的队列调查。
Within-survey multiple imputation (MI) methods are adapted to pooled-survey regression estimation where one survey has more regressors, but typically fewer observations, than the other. This adaptation is achieved through: (1) larger numbers of imputations to compensate for the higher fraction of missing values; (2) model-fit statistics to check the assumption that the two surveys sample from a common universe; and (3) specificying the analysis model completely from variables present in the survey with the larger set of regressors, thereby excluding variables never jointly observed. In contrast to the typical within-survey MI context, cross-survey missingness is monotonic and easily satisfies the Missing At Random (MAR) assumption needed for unbiased MI. Large efficiency gains and substantial reduction in omitted variable bias are demonstrated in an application to sociodemographic differences in the risk of child obesity estimated from two nationally-representative cohort surveys.
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影响因子：
8
作者：
Hellerstein, JK;Imbens, GW
通讯作者：
Imbens, GW
影响因子：
12.7
作者：
Kimbro, Rachel Tolbert;Brooks-Gunn, Jeanne;McLanahan, Sara
通讯作者：
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影响因子：
3.5
作者：
Assunçao, RM;Schmertmann, CP;Cavenaghi, SM
通讯作者：
Cavenaghi, SM
DOI：
10.1001/archpediatrics.2009.18
发表时间：
2009-04-01
影响因子：
--
作者：
Anderson, Sarah E.;Whitaker, Robert C.
通讯作者：
Whitaker, Robert C.
影响因子：
5.2
作者：
Fitzgerald, J;Gottschalk, P;Moffitt, R
通讯作者：
Moffitt, R