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Statistics
Outlier detection
File:
Example file - Bland and Altman plot.mc1
Example file - Cox regression - Gallstones.mc1
Example file - Logistic regression.mc1
Example file - McNemar test.mc1
Example file - Meta-analysis - Continuous measure.mc1
Example file - Meta-analysis - Correlation.mc1
Example file - Meta-analysis - Generic.mc1
Example file - Meta-analysis - Odds ratio.mc1
Example file - Meta-analysis - Proportions.mc1
Example file - Meta-analysis - Risk ratio & difference.mc1
Example file - Meta-analysis - ROC area.mc1
Example file - Nonlinear regression.mc1
Example file - Patients data.mc1
Example file - Probit (grouped data).mc1
Example file - Relative risk.mc1
Example file - ROC curve analysis.mc1
Example file - Survival.mc1
Outlier detection
Variables
Variable:
MINI_WRIGHT1
MINI_WRIGHT2
true
WRIGHT1
WRIGHT2
Select a variable.
Filter:
MINI_WRIGHT2
Methods of outlier detection
Grubbs:
Left-sided
Right-sided
Double-sided
no
Generalized ESD test
test for maximum number of outliers:
Enter a value.
Tukey
Options
Alpha level (Grubbs & ESD test):
0.10
0.05
0.025
0.01
0.05
0.001
0.0005
0.0001
Logarithmic transformation
Test for normal distribution:
D'Agostino-Pearson
Shapiro-Wilk
Shapiro-Francia
Kolmogorov-Smirnov
Chi-Squared
None
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