Epidemiology/Statistics Flashcards
What are parametric tests?
Parametric tests assume a normal distribution of population data for the variable being tested and are used for testing variables within a population that are interval or ratio.
examples:
Pearson
t-tests
Analysis of variance (ANOVA)
f-test
z-test
What are non-parametric tests?
Non-Parametric tests can be used for data that is not normally distributed within a population or is of nominal or ordinal value.
Examples:
Chi-squared
Spearman
Mann Whitney
Wilcoxin Signed Rank
Fisher Exact Probability
Categorical/Nominal variable
mutually exclusive, but not ordered, categories (e.g. eye color)
Ordinal variable
order matters but not the difference between values (e.g. pain score)
Interval variable
difference between two values is meaningful. The difference between a temperature of 100 degrees and 90 degrees is the same difference as between 90 degrees and 80 degrees (e.g. temperature)
Ratio variable
has all the properties of an interval variable, but also has a clear definition of 0.0. When the variable equals 0.0, there is none of that variable (e.g. height/weight)
What are tests of correlation?
Pearson (parametric)
Spearman (non-parametric)
What is sensitivity?
Sensitivity is the ability of a test to correctly identify disease.
Calculation: true positives / number of people with disease
What is specificity?
Specificity is the ability of a test to correctly exclude a disease
Calculation: true negatives / number of people without disease
What is positive predictive value?
Calculation: True Positives/All positive test results
What is negative predictive value?
Calculation: True negatives / all negative test results
What is positive likelihood ratio?
LR+ = Sensitivity / (1 - Specificity)
If the ratio is more than 10, the test is useful. If the ratio is between 5 and 10, then the test is moderately useful. If the test is less than 1, the test is not useful.
What is negative likelihood ratio?
LR- = (1- Sensitivity) / Specificity
What is the chance of successful delivery with VBAC?
successful VBAC after a single c-section is 72-76%.
If a patient has had a previous successful VBAC the figure is 87-90%
The success rate is lower if any of the following are present:
Induced labour
No previous vaginal birth
Obesity (BMI >30)
Previous C-section for dystocia
What is absolute risk reduction?
ARR = AR in control - AR in experimental
What is relative risk?
Calculation: Probability of an event when exposed/Probability of event in control group
what is relative risk reduction?
Calculations: 1 - RR
What is the number needed to treat?
Calculation: 1 / Absolute risk reduction
What is the odds ratio?
Calculation: (disease present/disease absent in exposed group) / (disease present / disease absent in control group)
What do the OR/RR/HR values mean?
- If the RR, OR, or HR = 1, or the confidence interval (CI) = 1, then there is no statistically significant difference between treatment and control groups.
- If the RR/OR/HR >1, and the CI does not include 1, events are significantly more likely in the treatment than the control group.
- If the RR/OR/HR <1, and the CI does not include 1, events are significantly less likely in the treatment than the control group.
When is the ovarian cancer peak prevalence and incidence?
Peak prevalence = 60-69
Peak incidence = 80+
What is RCT most appropriate to investigate?
Intervention/treatment
What is cross-sectional study most appropriate to investigate?
Diagnostic tests