Exam 2 Flashcards
Descriptive stats purpose
Summarize or describe the main features of a dataset
(Central tendency, measures of spread, data visualization)
Inferential stats purpose
Makes inferences and predictions about a population based on a sample
(Hypothesis testing, confidence intervals, p values)
Random sampling
All members of the population have an equal chance of being selected
Cluster sampling
Selecting random samples from certain natural groupings
Systematic sampling
Selecting every random individual from a list
Convenience sampling
Selecting a population based on convenience of the investigator
Hypothesis testing
Used to make inferences or decisions about a population based on sample data
Allows to test assumptions and determine if there is enough evidence to support a claim
Null hypothesis testing (H0)
States there is no stat difference between groups
Goal to disprove or reject the null hypothesis
Test this first then test alternative
Alternative hypothesis testing (H1)
Suggests there is a stat difference between groups
Hope to prove or accept alternative hypothesis
What is a type 1 error
False positive
Occur when null hypothesis is incorrectly rejected
Denoted by alpha**
(When alpha = 0.05 then 5% chance of making a type 1 error)
What is a type 2 error
False negative
Occurs when null hypothesis is incorrectly accepted
Means that no difference when there is one
Donated by beta
(Risk of type 2 error increases with a smaller sample size)
If p < alpha the null is what
Rejected (significant result)
If p > alpha the null is what
Null is not rejected (not significant)
What is power calculation
The probability of correctly rejecting the null hypothesis
Power = 1 - Beta
Higher power reduces type 2 error, increase sample size boosts study power
If beta is 0.2 then the study power is what? If beta is 0.1 the power is what
80%
90%
Stat significance is or is not equal to clinical significance
Is NOT
Confidence intervals (CI)
Range of numbers likely to contain the population interval
A method to determine stat significance: studies may report CI, p-value, or both
(Usually reported as 95% confidence interval)
If evaluating differences between groups the CI cannot cross what? If evaluating proportions, RR or OR, the CI cannot cross what?
0
1
Is normally distributed parametric or non-parametric
Parametric
(Non normally distributed is non parametric)
What is students t-test
Parametric test
Have to be normally distributed and continuous data
Random samples from two independent populations
Compares means***
What is a paired t-test
Determine differences between the same individuals (dependent or paired)
Dependent variable is normally distributed and continuous
Compares means
What is analysis of variance (ANOVA)
3 or more independent samples
Continuous parametric data
What is Mann Whitney U (Wilcoxon Rank Sum test)
Two independent samples
Ordinal and continuous non parametric data
Wilcoxon signed ranks
Two related paired samples
Ordinal and continuous non parametric data
Kruskal Wallis
3 or more independent samples
Ordinal and continuous non parametric data
Chi squared test
Two independent samples or 3 or more independent samples
Nominal data
Fishers exact test
Two independent samples
nominal data
McNemar
Two related paired samples
Nominal data
Subgroup analysis
Explores treatment across different subgroups of a population
Goal to see if effect of treatment is consistent across all groups
Univariate analyses
Comparison of one dependent variable to one independent variable
-doesn’t account for confounders
-may have stat significant results that are not accurate
Multi variable analysis
Compare one dependent variable to multiple independent variables
-multiple variable = confounders or covariants
-able to determine stat significance
Multi variable linear regression
Dependent variable is a continuous variable
Independent variables can be nominal, ordinal, or continuous
P values will be provided for each covariant and the relationship to the dependent variable