Accelerated Statistical Training
BS800: Stats Boot Camp
A review of basic biostatistics jargon and methodology
Module 1: Basics of Studies
Questions when creating a study: Outcome of interest? Groups? Population? Type of Study? ...
Module 2: Probability
Probability is the study of uncertainty and randomness in the world. It measures chance. Proport...
Module 3: Random Variables and Normal Distributions
A variable is a measurement or characteristic on which individual observations are made. A random...
Module 4: Discrete Distributions
For any domain there are infinitely many distributions. The most common and famous distributions ...
Module 5: Multivariate Normal Distribution
A variable X follows a discrete probability distribution if the possible values of X are either: ...
Module 6 & 7: Summary Statistics and Parameter Estimation
Since it is practically impossible to enroll the whole target population, we take a sample - a su...
Module 8: Interval Estimation
θ is fixed while θhat_n is a random variable which provides the single best value to estimate θ...
Module 9: Hypothesis Testing
The "effect" of a particular factor on some health outcome can be described as a parameter. Stati...
Module 10: Confounding and MH Method
With categorical data, we are classifying data instead of measuring it. As a review: Notice we...
Module 11: ANOVA - Analysis of Variance
ANOVA can be used to compare the means of several populations with continuous populations simulta...
Module 12: Basic Genetics
People are made of organs, organs are made of cells, cells are composed with genetic information....
Module 13: Linear Regression
Correlation and regression attempt to describe the strength and direction of the association betw...
Module 14: Topics in Linear Regression
Assumption in Linear Regression: Independence between observations Linearity between X and Y ...