Exact(4)
We assigned missing data (typically for ocean locations) an elevation of zero.
Any missing data (typically for ocean locations) were assigned an elevation of zero.
The presence of multiple cancer groups and time points, along with some missing data (typically <5%), may have resulted in either a lack of power for certain analyses or type I errors (false-positive results) due to the number of comparisons.
Exclusion of sites with missing data typically increases support for the positioning of Mesostigma with Streptophyta for both the 8-taxon and 13-taxon data sets, whereas inclusion of sites with missing data results in its basal positioning.
Similar(56)
In addition, designing efficient proposal distributions for the missing data is typically challenging.
44 Within each timepoint, the proportion of missing data was low (typically <5% missing values per variable) and Missing at Random (according to Little's Missing Completely at Random test) and thus missing values were imputed using EM.
Predictor variables were age, sex, ethnic group (Mixed/Asian/Black/Other/Missing vsvs White), unplanned admissions (vs planned), tertile of socioeconomic deprivation (middle vs low, high vs low), missing data on socioeconomic deprivation (typically due to missing postcode), unit size (small/medium/large according to the number of records).
Levels of missing data were generally low (typically 4.5-6%).
The size of the samples if further limited by missing data in some students (typically up to 5%), a factor that cannot be avoided from self-reported questionnaires.
The general approach for research designed to analyze health impacts of exposure to PM2.5 is to use concentration data from the nearest ground-based air quality monitor(s), which typically have missing data on the temporal and spatial scales due to filter sampling schedules and monitor placement, respectively.
Missing data levels were extremely low, typically less than 5% for most fields.
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