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Filtering by: Keyword missing data Remove constraint Keyword: missing data Research Field Statistics Remove constraint Research Field: Statistics

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Multiple Imputation Method in SAS Exemplified through a Case Study of Programmatic Data from Emergency Nutrition Programs

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Robust Statistical Methods for Handling Missing Data

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Statistical Methods for Handling Missing Data in Functional Data Analysis

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Statistical Methods for Incomplete Big Data

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20161
20171
Fall 20171
Spring 20181

School

Laney Graduate School3
Rollins School of Public Health1

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Biostatistics3
Epidemiology1

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Ph.D.2
MPH1
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Dissertation3
Master's Thesis1

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Statistics[remove]4
Biology, Biostatistics2
Health Sciences, Public Health2
Health Sciences, Nutrition1

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Chang, Howard, Emory University2
Long, Qi, Emory University2
Lyles, Robert, Emory University2
Frankel, Michael, Emory University1
Jiang, Xiaoqian, University of California, San Diego1
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missing data[remove]4
multiple imputation2
SAS1
big data1
diagnostics1
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