"Multiple Imputation of Missing Data: A Simulation Study on a Binary Response"
written by Jochen Hardt, Max Herke, Tamara Brian, Wilfried Laubach,
published by Open Journal of Statistics, Vol.3 No.5, 2013
has been cited by the following article(s):
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[9] Social Networks as Predictors of the Harm Suffered by Victims of a Large-Scale Ponzi Scheme
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[10] Bayesian-based parallel ant system for missing value estimation in large databases
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[12] Heuristically repopulated Bayesian ant colony optimization for treating missing values in large databases
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[13] Missing Data in Alcohol Clinical Trials with Binary Outcomes
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[14] Estimation of the Incidence of Hepatocellular Carcinoma and Cholangiocarcinomain Songkhla, Thailand, 1989-2013, Using Multiple Imputation Method
CANCER RESEARCH AND TREATMENT, 2016
[15] Nearest neighbor imputation algorithms: a critical evaluation
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[16] Estimation of the Incidence of Hepatocellular Carcinoma and Cholangiocarcinoma in Songkhla, Thailand, 1989-2013, Using Multiple Imputation Method
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[17] Perceived burdensomeness and suicide ideation in adult outpatients receiving exposure therapy for anxiety disorders
Behaviour Research and Therapy, 2016
[18] How Does Caregiver Well-Being Relate to Perceived Quality of Care in Patients With Cancer? Exploring Associations and Pathways
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[19] Survival modelling, missing values and frailty with application to cervical cancer data/Nuradhiathy Abd Razak
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[20] Exploring Home Visitation as an Intervention for Child Abuse and Neglect: Is Worker-Parent Alliance Predictive of Maternal Outcomes?
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[21] Comparison of Methods of Handling Missing Data: A Case Study of KDHS 2010 Data
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[22] A Comparison Of Multiple Imputation Methods For Categorical Data
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