Modeling Earnings Measurement Error: A Multiple Imputation Approach

David Brownstone; Robert G. Valletta

doi:10.2307/2109957

Modeling Earnings Measurement Error: A Multiple Imputation Approach

Review of Economics and Statistics ◽

10.2307/2109957 ◽

1996 ◽

Vol 78 (4) ◽

pp. 705 ◽

Cited By ~ 27

Author(s):

David Brownstone ◽

Robert G. Valletta

Keyword(s):

Measurement Error ◽

Multiple Imputation ◽

Imputation Approach

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Supplemental Material for Multivariate Normative Comparisons for Neuropsychological Assessment by a Multilevel Factor Structure or Multiple Imputation Approach

Psychological Assessment ◽

10.1037/pas0000489.supp ◽

2017 ◽

Keyword(s):

Multiple Imputation ◽

Factor Structure ◽

Neuropsychological Assessment ◽

Normative Comparisons ◽

Imputation Approach

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A Nonparametric Multiple Imputation Approach for Data with Missing Covariate Values with Application to Colorectal Adenoma Data

Journal of Biopharmaceutical Statistics ◽

10.1080/10543406.2014.888444 ◽

2014 ◽

Vol 24 (3) ◽

pp. 634-648 ◽

Cited By ~ 6

Author(s):

Chiu-Hsieh Hsu ◽

Qi Long ◽

Yisheng Li ◽

Elizabeth Jacobs

Keyword(s):

Multiple Imputation ◽

Colorectal Adenoma ◽

Imputation Approach

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32 Long-term trends in prostate cancer incidence by stage at diagnosis in japan using multiple imputation approach, 1993–2014

10.1136/bmjebm-2019-pod.46 ◽

2019 ◽

Author(s):

Eiko Saito ◽

Megumi Hori ◽

Tomohiro Matsuda ◽

Daisuke Yoneoka ◽

Yuri Ito ◽

...

Keyword(s):

Prostate Cancer ◽

Multiple Imputation ◽

Cancer Incidence ◽

Stage At Diagnosis ◽

Prostate Cancer Incidence ◽

Long Term Trends ◽

Imputation Approach

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A multiple imputation approach for clustered interval-censored survival data

Statistics in Medicine ◽

10.1002/sim.3835 ◽

2010 ◽

Vol 29 (6) ◽

pp. 680-693 ◽

Cited By ~ 5

Author(s):

K. F. Lam ◽

Ying Xu ◽

Tak-Lun Cheung

Keyword(s):

Multiple Imputation ◽

Survival Data ◽

Censored Survival Data ◽

Interval Censored ◽

Imputation Approach

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A nonparametric multiple imputation approach for missing categorical data

BMC Medical Research Methodology ◽

10.1186/s12874-017-0360-2 ◽

2017 ◽

Vol 17 (1) ◽

Cited By ~ 2

Author(s):

Muhan Zhou ◽

Yulei He ◽

Mandi Yu ◽

Chiu-Hsieh Hsu

Keyword(s):

Multiple Imputation ◽

Categorical Data ◽

Imputation Approach

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A multiple imputation approach for MNAR mechanisms compatible with Heckman's model

Statistics in Medicine ◽

10.1002/sim.6902 ◽

2016 ◽

Vol 35 (17) ◽

pp. 2907-2920 ◽

Cited By ~ 20

Author(s):

Jacques‐Emmanuel Galimard ◽

Sylvie Chevret ◽

Camelia Protopopescu ◽

Matthieu Resche‐Rigon

Keyword(s):

Multiple Imputation ◽

Imputation Approach

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Maximum likelihood, multiple imputation and regression calibration for measurement error adjustment

Statistics in Medicine ◽

10.1002/sim.3458 ◽

2008 ◽

Vol 27 (30) ◽

pp. 6332-6350 ◽

Cited By ~ 26

Author(s):

Karen Messer ◽

Loki Natarajan

Keyword(s):

Maximum Likelihood ◽

Measurement Error ◽

Multiple Imputation ◽

Regression Calibration ◽

Error Adjustment

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Constructing bootstrap confidence intervals for principal component loadings in the presence of missing data: A multiple-imputation approach

British Journal of Mathematical and Statistical Psychology ◽

10.1111/j.2044-8317.2010.02006.x ◽

2010 ◽

Vol 64 (3) ◽

pp. 498-515 ◽

Cited By ~ 9

Author(s):

Joost R. van Ginkel ◽

Henk A. L. Kiers

Keyword(s):

Missing Data ◽

Multiple Imputation ◽

Confidence Intervals ◽

Principal Component ◽

Bootstrap Confidence Intervals ◽

Component Loadings ◽

Imputation Approach

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Accounting for study participants who are ineligible for linkage: a multiple imputation approach to analyzing the linked National Health and Nutrition Examination Survey and Centers for Medicare and Medicaid Services’ Medicaid data

Health Services and Outcomes Research Methodology ◽

10.1007/s10742-018-0186-3 ◽

2018 ◽

Vol 19 (2-3) ◽

pp. 87-105

Author(s):

Jennifer Rammon ◽

Yulei He ◽

Jennifer D. Parker

Keyword(s):

Multiple Imputation ◽

National Health ◽

Nutrition Examination Survey ◽

Health And Nutrition ◽

Study Participants ◽

Imputation Approach

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Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM)

Biostatistics ◽

10.1093/biostatistics/kxx046 ◽

2017 ◽

Vol 19 (4) ◽

pp. 479-496 ◽

Cited By ~ 5

Author(s):

Margarita Moreno-Betancur ◽

John B Carlin ◽

Samuel L Brilleman ◽

Stephanie K Tanamas ◽

Anna Peeters ◽

...

Keyword(s):

Survival Analysis ◽

Missing Data ◽

Measurement Error ◽

Multiple Imputation ◽

Joint Modeling ◽

Time Dependent ◽

Time Dependent Covariates

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