scholarly journals Missing data in spatiotemporal datasets: the UK rainfall chemistry network

2015 ◽  
Vol 2 (1) ◽  
pp. 25-30 ◽  
Author(s):  
J. N. Cape ◽  
R. I. Smith ◽  
D. Leaver
Author(s):  
Ann Chapman

Libraries, archives and museums act as memory organizations, recording and providing access to a range of knowledge and information. In an age of increasing access to information via electronic methods, they support lifelong learning, as well as national and international goals in support of the rights of individuals to education, leisure, health and employment. The provision of new methods of accessing catalogues from a distance is severely compromised if the catalogues accessed do not record the complete stock of their institutions, and therefore the retrospective conversion of catalogues is of increasing relevance today. Items for which there are no electronic records effectively become invisible to potential users. The retrospective conversion of catalogues still in manual forms has been a goal since electronic versions were first installed, but the extent to which it has been achieved has been governed largely by financial considerations. Recent studies in the UK have revealed the extent of missing data in the electronic catalogues of libraries and archives. Some retrospective conversion is being carried out as and when funding becomes available, but progress is erratic and piecemeal, without reference to a national overview. To address this problem, a national strategy for the UK has been developed and will be taken forward by a newly formed Implementation Group.


2009 ◽  
Vol 24 (10) ◽  
pp. 589-595 ◽  
Author(s):  
U. Nur ◽  
N. T. Longford ◽  
J. E. Cade ◽  
D. C. Greenwood

2021 ◽  
Author(s):  
Francesca Mazzi ◽  
Abid Adonis ◽  
Josh Cowls ◽  
Andreas Tsamados ◽  
Mariarosaria Taddeo ◽  
...  

2021 ◽  
Author(s):  
Amanda E. Gentry ◽  
Robert M. Kirkpatrick ◽  
Roseann E. Peterson ◽  
Bradley T. Webb

AbstractThe availability of large-scale biobanks linking rich phenotypes and biological measures are a powerful opportunity for scientific discovery. However, real-world collections frequently have extensive non-random missing data. Machine learning methods are able to predict missing data but performance is significantly impaired by block-wise missingness inherent to many biobanks. To address this, we developed Missingness Adapted Group-wise Informed Clustered LASSO (MAGIC-LASSO) which performs hierarchical clustering of variables based on missingness followed by sequential Group LASSO within clusters. Variables are pre-filtered for missingness and balance between training and target sets with final models built using stepwise inclusion of features ranked by completeness. This research has been conducted using the UK Biobank (n>500k) to predict unmeasured Alcohol Use Disorders Identification Test (AUDIT.) The phenotypic correlation between measured and predicted total score was 0.67 while genetic correlations between independent subjects was >0.86, demonstrating the method has significant accuracy and utility.


BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e018641 ◽  
Author(s):  
Erin L Merz ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Shadi Gholizadeh ◽  
Sarah D Mills ◽  
...  

ObjectiveValid measures of appearance concern are needed in systemic sclerosis (SSc), a rare, disfiguring autoimmune disease. The Derriford Appearance Scale-24 (DAS-24) assesses appearance-related distress related to visible differences. There is uncertainty regarding its factor structure, possibly due to its scoring method.DesignCross-sectional survey.SettingParticipants with SSc were recruited from 27 centres in Canada, the USA and the UK. Participants who self-identified as having visible differences were recruited from community and clinical settings in the UK.ParticipantsTwo samples were analysed (n=950 participants with SSc; n=1265 participants with visible differences).Primary and secondary outcome measuresThe DAS-24 factor structure was evaluated using two scoring methods. Convergent validity was evaluated with measures of social interaction anxiety, depression, fear of negative evaluation, social discomfort and dissatisfaction with appearance.ResultsWhen items marked by respondents as ‘not applicable’ were scored as 0, per standard DAS-24 scoring, a one-factor model fit poorly; when treated as missing data, the one-factor model fit well. Convergent validity analyses revealed strong correlations that were similar across scoring methods.ConclusionsTreating ‘not applicable’ responses as missing improved the measurement model, but did not substantively influence practical inferences that can be drawn from DAS-24 scores. Indications of item redundancy and poorly performing items suggest that the DAS-24 could be improved and potentially shortened.


2014 ◽  
Vol 37 (3) ◽  
pp. 247-263
Author(s):  
David C. Broadstock ◽  
Alan Collins ◽  
Lester C. Hunt
Keyword(s):  

2000 ◽  
Vol 111 (1) ◽  
pp. 78-90 ◽  
Author(s):  
C. R. M. Hay ◽  
T. P. Baglin ◽  
P. W. Collins ◽  
F. G. H. Hill ◽  
D. M. Keeling

2006 ◽  
Vol 175 (4S) ◽  
pp. 476-477
Author(s):  
Freddie C. Hamdy ◽  
Joanne Howson ◽  
Athene Lane ◽  
Jenny L. Donovan ◽  
David E. Neal

2006 ◽  
Vol 175 (4S) ◽  
pp. 210-210
Author(s):  
◽  
Freddie C. Hamdy ◽  
Athene Lane ◽  
David E. Neal ◽  
Malcolm Mason ◽  
...  
Keyword(s):  

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