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Everything's Just Wonderful, a bittersweet and honest tale of mixed-up modern life, scores the coup of rhyming weight loss with Kate Moss, while Littlest Things is a perfect description of missing someone: "We'd spend the whole weekend lying in our own dirt/ I was just so happy in your boxers and your T-shirt".
While analysing Alright, Still, The Guardian reviewer, Sophie Heawood, described the lyrics as the "perfect description of missing someone: 'We'd spend the whole weekend lying in our own dirt/ I was just so happy in your boxers and your T-shirt'".
A description of missing data was also included.
Numerical and graphical summaries of all the data will be compiled, including a detailed description of missing data at the clinic visit, questionnaire and individual level.
Numerical and graphical summaries of all the data will be compiled, including a detailed description of missing data at the ward and individual level.
Many variables that are associated with non-participation in surveys were included in the dataset, which reduces the probability that data missing does depend on unobserved data, conditional on the observed data (see Additional file 1: Table B for description of missing data).
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Small sample size and absent descriptions of missing data were common in these studies.
By September 12th, the neighborhood was plastered with images and descriptions of missing people.
Numerical and graphical summaries of all the data will be compiled, including descriptions of missing data at each level.
There were also inconsistencies in the description and application of missing data rules across all pollutants (Tables 3– 7); the description of these rules in the text (bottom of p. 681) should read "For both approaches, a subject was considered missing if there was a gap of > 5 consecutive days in air monitoring data or if there were > 10 missing days within the term of the pregnancy".
Last, journals could facilitate progress by either accepting or requiring the archival of tables of summary statistics, such as unadjusted correlations, means, and standard deviations, perhaps augmented by a description of patterns of missing data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com