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Nature neuroscience, ISSN 1097-6256, 10/2018, Volume 21, Issue 10, pp. 1493 - 1493
In the published version of this article, a detail is missing from the Methods section "Experimental procedure." The following sentence is to be inserted at... 
Missing data | Cortex
Journal Article
European journal of epidemiology, ISSN 0393-2990, 08/2019, pp. 1 - 3
Journal Article
Journal of Non-Newtonian Fluid Mechanics, ISSN 0377-0257, 05/2019, Volume 267, pp. 100 - 100
This corrigendum provides some missing data and a reference for the paper Modelling of Bingham and Herschel-Bulkley flows with mixed P1/P1 finite elements... 
Missing data | Modelling | Drag | Cylinders
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2011, Volume 45, Issue 7, pp. 1 - 47
II is a complete R package for multiple imputation of missing data. The package implements a new expectation-maximization with bootstrapping algorithm that... 
Multiple imputation | Missing data | Bootstrap | multiple imputation | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | bootstrap | missing data | ALGORITHM
Journal Article
Therapie, ISSN 0040-5957, 05/2018, Volume 73, Issue 3, pp. 267 - 272
Objective: In clinical research, the recourse to a staff dedicated as CRA with the investigator is common practice to facilitate the work of collection and... 
Missing data | CRA
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 07/2019, Volume 2123, Issue 1
The effect of using three different interpolation methods (nearest neighbour, linear and non-linear) on a 3D sinogram to restore the missing data due to using... 
Missing data | Interpolation | Image reconstruction
Journal Article
LANCET NEUROLOGY, ISSN 1474-4422, 11/2016, Volume 15, Issue 12, pp. 1226 - 1235
Background Craniotomy, according to the results from trials, does not improve functional outcome after intracerebral haemorrhage. Whether minimally invasive... 
STROKE | MANAGEMENT | PLASMINOGEN-ACTIVATOR | CLINICAL-TRIAL | GUIDELINES | MISSING DATA | DETERMINANT | HEMATOMAS | ASPIRATION | CLINICAL NEUROLOGY | BLOOD
Journal Article
Journal of Dalian Jiaotong University, ISSN 1673-9590, 01/2015, Volume 36, Issue 6
A method is presented based on association analysis. Firstly, the existing dataset containing missing attribute value is taken as the association rule.... 
Missing data
Journal Article
Journal of Dalian Jiaotong University, ISSN 1673-9590, 01/2015, Volume 36, Issue 6
A method is presented based on association analysis. Firstly, the existing dataset containing missing attribute value is taken as the association rule.... 
Missing data
Journal Article
Journal of Biopharmaceutical Statistics, ISSN 1054-3406, 01/2020, Volume 30, Issue 1, pp. 178 - 196
Multiple imputation is a promising approach for handling of missing data. One uncertainty in applications of the multiple imputation to randomized controlled... 
multiple imputation | heteroscedasticity | Longitudinal data | missing data
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 10939, pp. 64 - 76
Conference Proceeding
2017, ASA-CRC Series on Statistical Reasoning In Science and Society, ISBN 1498795781, xiii, 154 pages
Book
Clinical Therapeutics, ISSN 0149-2918, 12/2019, Volume 41, Issue 12, pp. 2477 - 2487
Pharmacoepidemiological studies on the safety of medication during pregnancy are all susceptible to missing data (ie, data that should have been recorded but... 
Pharmacoepidemiology | Pregnancy | Missing data | Medication safety
Journal Article
Journal of Neurotrauma, ISSN 0897-7151, 10/2019, Volume 36, Issue 19, pp. 2743 - 2752
textabstractTraumatic brain injury (TBI) research commonly measures long-term functional outcome, but studies often suffer from missing data as patients are... 
follow-up | traumatic brain injury | multiple imputation | missing data
Journal Article
Journal of Family Psychology, ISSN 0893-3200, 06/2017, Volume 31, Issue 4, p. 442
Multilevel modeling (MLM) and structural equation modeling (SEM) are the dominant methods for the analysis of dyadic data. Both methods are extensively... 
Missing data | Standardization | Interdependence | Multivariate analysis | Mediation
Journal Article
Journal of Applied Psychology, ISSN 0021-9010, 06/2018, Volume 103, Issue 6, pp. 644 - 658
Meta-analysis has become a well-accepted method for synthesizing empirical research about a given phenomenon. Many meta-analyses focus on synthesizing... 
Missing data | Beta estimation procedures | Meta-analysis
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 02/2019, Volume 2075, Issue 1
Missing data are ubiquitous throughout the social, behavioral, and medical sciences. On the contrary, in the field of physics, missing data are usually... 
Missing data | Uncertainty | Irradiance | Solar radiation | Geophysics
Journal Article
Sociological Methods and Research, ISSN 0049-1241, 2018, p. 4912411879937
Journal Article
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