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Subjects were described using descriptive statistics, such as mean (s.d)., median (interquartile range), and proportion (with 95% confidence interval).
Standard descriptive statistics, such as the mean, median, range, and proportion, have been used to summarise the patient characteristics and frequency of adverse events.
The degree of consensus regarding importance ratings was determined by assessing median, interquartile range, and proportion of experts scoring above predetermined thresholds.
Data were analysed using descriptive statistics including the median, range and proportion, and mean and standard deviation for normally distributed data.
The median, range, and proportion above the detection limit for biomarkers with the majority of measurements below the limit of detection is described in the second part of Table 1.
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Descriptive statistics were presented for continuous variables (median and interquartile range), and proportions were presented for categorical variables.
Data were described by mean or median with total range and proportions.
Descriptive statistics were used to obtain medians, interquartile range and proportions.
For categorical variables, median and interquartile range and proportions were computed and compared using the two-sided Fisher's Exact test.
Descriptive statistics, [means (measure of spread – Standard Deviation), medians (measure of spread – Interquartile Range) and proportions] were used to describe participants and the outcomes of expert panel meetings.
For descriptive analyses, mean values are presented with standard deviation, median values with interquartile range, and proportions with percentages and total numbers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com