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Descriptive statistics was generated for each item to determine the extent of missing values and floor and ceiling effects.
The best correlation coefficient and AUC for each permuted dataset was recorded, and an empirical distribution of model fit statistics was generated across the 1000 permuted datasets.
The best correlation coefficient and AUC for each permuted data set were recorded, and an empirical distribution of model fit statistics was generated across the permuted data sets.
Data were first read into the R statistical package (www.r-project.org) database as an array (age, LDH, time to death, censor status, treatment type), and a summary of statistics was generated that included the median and the 95% confidence interval (CI).
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General descriptive statistics were generated to analyse the data.
Descriptive statistics were generated for each of the general characteristic variables.
All statistics were generated using the Statistical Package for the Social Sciences (SPSS) version 20.0.
Descriptive statistics were generated.
First, descriptive statistics were generated.
Peak statistics are generated from the processed data.
From this, quantitative average gain/loss statistics are generated.
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CEO of Professional Science Editing for Scientists @ prosciediting.com