Spatio-temporal modeling of PM2.5 concentrations with missing data problem: a case study in Beijing, China

2019 ◽  
Vol 34 (3) ◽  
pp. 423-447 ◽  
Author(s):  
Qiang Pu ◽  
Eun-Hye Yoo
Keyword(s):  
Missing Data ◽  
Temporal Modeling ◽  
Missing Data Problem ◽  
Data Problem ◽  
Spatio Temporal ◽  
Beijing China

scholarly journals Treating loss-to-follow-up as a missing data problem: a case study using a longitudinal cohort of HIV-infected patients in Haiti

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Deanna P. Jannat-Khah ◽  
Michelle Unterbrink ◽  
Margaret McNairy ◽  
Samuel Pierre ◽  
Dan W. Fitzgerald ◽  
...  
Keyword(s):  
Missing Data ◽  
Longitudinal Cohort ◽  
Loss To Follow Up ◽  
Missing Data Problem ◽  
Data Problem

Missing Data Problem in the Monitoring System: A Review

2020 ◽  
Vol 20 (23) ◽  
pp. 13984-13998
Author(s):  
Jinghan Du ◽  
Minghua Hu ◽  
Weining Zhang
Keyword(s):  
Missing Data ◽  
Monitoring System ◽  
System A ◽  
Missing Data Problem ◽  
Data Problem

Nachwort: Die Dunkle Seite ist ein „Missing Data“-Problem

Bad Science ◽  
2020 ◽  
pp. 135-138
Author(s):  
Florian Meinfelder ◽  
Rebekka Kluge
Keyword(s):  
Missing Data ◽  
Missing Data Problem ◽  
Data Problem

Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme

2012 ◽  
Vol 40 (2) ◽  
pp. 282-303 ◽  
Author(s):  
Jieli Ding ◽  
Yanyan Liu ◽  
David B. Peden ◽  
Steven R. Kleeberger ◽  
Haibo Zhou
Keyword(s):  
Regression Analysis ◽  
Missing Data ◽  
Sampling Scheme ◽  
Missing Data Problem ◽  
Data Problem
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