Data were summarised using numbers and percentages.
The extremal dependence of stationary time-series at pairs of locations can be summarised using one or more of a number of statistics.
46 Extracted data (eg, number of therapeutic interventions vs number of diagnostic interventions) will be summarised using simple numerical counts and percentages where applicable.
Discrete variables will be summarised using frequency and percentage.
Baseline characteristics will be summarised using descriptive statistics.
Continuous variables were summarised using the number of observations, mean (s.d)., whereas categorical variables were summarised by the number and percentage of events.
Data were summarised using descriptive statistics using number of patients, mean, median, s.d. and range for continuous variables and using frequency and percentages for discrete variables.
As a descriptive analysis, continuous variables were summarised using descriptive statistics, including number of subjects: mean, standard deviation, and median, while for categorical variables summaries included counts of subjects and percentages.
Categorical data were summarised using descriptive statistics with numbers and percentages.
Continuous variables were summarised using median and interquartile range (IQR) or mean ± standard deviation, and categorical variables were expressed as number.
