mindmap
root((Regression
Analysis)
Continuous <br/>Outcome Y
{{Unbounded <br/>Outcome Y}}
)Chapter 3: <br/>Ordinary <br/>Least Squares <br/>Regression(
(Normal <br/>Outcome Y)
{{Nonnegative <br/>Outcome Y}}
)Chapter 4: <br/>Gamma Regression(
(Gamma <br/>Outcome Y)
{{Bounded <br/>Outcome Y <br/> between 0 and 1}}
)Chapter 5: Beta <br/>Regression(
(Beta <br/>Outcome Y)
{{Nonnegative <br/>Survival <br/>Time Y}}
)Chapter 6: <br/>Parametric <br/> Survival <br/>Regression(
(Exponential <br/>Outcome Y)
(Weibull <br/>Outcome Y)
(Lognormal <br/>Outcome Y)
)Chapter 7: <br/>Semiparametric <br/>Survival <br/>Regression(
(Cox Proportional <br/>Hazards Model)
(Hazard Function <br/>Outcome Y)
Discrete <br/>Outcome Y
{{Binary <br/>Outcome Y}}
{{Ungrouped <br/>Data}}
)Chapter 8: <br/>Binary Logistic <br/>Regression(
(Bernoulli <br/>Outcome Y)
{{Grouped <br/>Data}}
)Chapter 9: <br/>Binomial Logistic <br/>Regression(
(Binomial <br/>Outcome Y)
{{Count <br/>Outcome Y}}
{{Equidispersed <br/>Data}}
)Chapter 10: <br/>Classical Poisson <br/>Regression(
(Poisson <br/>Outcome Y)