Deck 33: Additional Analysis Tools

Question 1

An SIR model is a compartmental model in which each member of a population exists in one of three states-susceptible, infectious, or recovered-at one time, but over time these individuals can move between compartments.

Answer 1

True

Question 2

Propensity score matching is a common method for predicting the probability of group membership while adjusting for covariates.

Answer 2

True

Question 3

Which of the following models have inputs that vary according to a probability distribution, so the outcomes differ every time the model is run?

A) SIR models
B) Compartmental models
C) Deterministic models
D) Stochastic models

Answer 3

D

Question 4

Which of the following uses computers to simulate the actions and interactions of various individuals in a population?

A) Machine learning
B) Agent-based modeling
C) Spatial analysis
D) Logistic regression

Question 5

Which of the following models can assist with developing and testing new theories as well as with understanding complex data?

A) SIR models
B) Agent-based models
C) Deterministic models
D) Stochastic models