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Basic Statistics
Fabrício Rodrigues Santiago MD
Vascular Surgeon/Board Certified by the Brazilian Society for Vascular Surgery
Vascular Sonographer/Board Certified by the Brazilian College of Radiology- Brazilian Society for
Vascular Surgery
Master in Science– University of São Paulo
Phd fellow- University of Goias
Member of the Society for Vascular Surgery
Member of the American College of Phlebology
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NO DISCLOSURES
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STATISTICS
Don’t wanna know
Don’t understand
Scared
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Basic Concepts
Hypothesis testing
Ho = H1
Ho ≠ H1
Sample size and power
calculations
α=5% (Type I error)
β=70-90% (Type II error)
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Types of Data
Categorical Ordinal Nominal
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Objective
Non parametric data
Compare 2 independent groups
Parametric data
(normal distribution)
t test
Compare 2 dependent groups
Paired t test
Wilcoxon test
Compare 3 or more independent
groups
Numerical Variable correlation
variance analysis (ANOVA)
Kruskal-Wallys
Pearson correlation coefficient
Sperman correlation coefficient
Categorical variable association
Qui-square
Fisher’s test (for independent and
small samples)
Mann-Whitney test
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P value
Confidence Interval
Odds Ratio
Relative Risk
Clinical versus statistical significance
P value
Null Hypothesis
Ho = H1
α= 5%
Treatment A x Treatment B
Treatment A x Treatment B
100 individuals for each arm
20 individuals for each arm
P = 0.056
95% Confidence Interval
Showed up to 20 percentage points
“Absence of evidence is
not evidence of absence”
P = 0.034
Clinically significant
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THE GOOD AND THE BAD
Become more research-active
More equipped ( teach or explain things to other people)
Time consuming
Skills (Numbers, Statistical packages)
Critically evaluate published research and drug company literature
Better understand and explain risk
Justify Clinical Decisions
Communicate risk to patients
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Ecouraging ACP
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P<0,001
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THANK YOU!