Stats and Modeling Flashcards
What is stats used for?
discern justifiable differences in quantitative patterns
What are some examples of stats tests?
Basic t-tests, ANOVA, Chi-squared (X2) are
useful
How many outcomes do Chi-squared tests measure?
Two
When are these basic stats tests too burdensome?
situations where multiple variables and their interactions are in question/confounding!
T-tests
This tests whether significant differences, not attributable to random chance, are present in continuous data
X2 Test
Test significance between groups of non-continuous data.
Infected vs. not infected, or vaccinated vs. non-vaccinated. Useful with 2 x 2 contingency tables.
Fisher’s Exact test
This tests for significance in much the same way as Chi-squared test does, but works with any size data set. It also gives an “exact” P-value, rather than an approximation; Applicable to 2x2 tables.
Multivariable regression
Multiple independent variables are regressed on a single dependent variable. All variables are considered together to discern correlations either individually or in combinations
Multivariate analysis (MVA)
Techniques allow more than two variables to be analyzed at once
What is not usually included under MVAs?
Multiple regression is not typically included under this heading, but can be thought of as a multivariate analysis
Two general types of MVA technique?
Analysis of dependence and analysis of interdependence
Analysis of dependence
Where one (or more) variables are dependent variables, to be explained or predicted by others; E.g.: Multiple regression, PLS, MDA
Analysis of interdependence
No variables thought of as “dependent”; Look at the relationships among variables, objects or cases; E.g. : cluster analysis, factor analysis
What is important to bring to statistician?
The question you are trying to answer
In most cases data analysis is done to test?
the association between two or more variables (bivariate)