Introduction to Survival Analysis
... Count every subject’s time since their baseline data collection. Right-censoring! ...
... Count every subject’s time since their baseline data collection. Right-censoring! ...
Understanding Probability Laws
... constitutes the event that the number appearing on the green die is 1 and the number appearing on the red die is 6. It is also the event called “A and B”, because it is the one outcome that appears both in the set of outcomes that make up the event A and in the set of outcomes that make up the event ...
... constitutes the event that the number appearing on the green die is 1 and the number appearing on the red die is 6. It is also the event called “A and B”, because it is the one outcome that appears both in the set of outcomes that make up the event A and in the set of outcomes that make up the event ...
Document
... The null hypothesis H0 states the claim that we are seeking evidence against. The probability that measures the strength of the evidence against a null hypothesis is called a P-value. A test statistic calculated from the sample data measures how far the data diverge from what we would expect if the ...
... The null hypothesis H0 states the claim that we are seeking evidence against. The probability that measures the strength of the evidence against a null hypothesis is called a P-value. A test statistic calculated from the sample data measures how far the data diverge from what we would expect if the ...
Review of Basic Probability Theory
... Probability Distributions Continuous Probability Distributions When a random variable X is continuous, it takes on all values over some continuous range, and so the number of outcomes is uncountably infinite. For continuous random variables, the probability of a particular outcome x cannot be define ...
... Probability Distributions Continuous Probability Distributions When a random variable X is continuous, it takes on all values over some continuous range, and so the number of outcomes is uncountably infinite. For continuous random variables, the probability of a particular outcome x cannot be define ...
Ideas and Examples in Generalized Linear Mixed Models
... next. Because there is a substantial gap between flu seasons this is not a problem here but might render this model inappropriate in other time series situations. ...
... next. Because there is a substantial gap between flu seasons this is not a problem here but might render this model inappropriate in other time series situations. ...
