what is the difference between a linear model and a log linear model 35095
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Jul 19, 2022
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Mittlbock and Heinzl (2001) compare Poisson and logistic regression models for data in which the event rate is small so that the Poisson distribution provides a reasonable approximation to the Binomial distribution. An example is the number of deaths from coronary heart disease among British doctors (Table 9.1). In Section 9.2.1 we fitted the model Yi ∼Po(deathsi) with Equation (9.9) log(deathsi)= log(personyearsi) β1 β2 smokei β3 agecati β4 ages qi β5 smkagei An alternative is .Yi ∼ B
Mittlbock and Heinzl (2001) compare Poisson and logistic regression m…
Aug 11, 2020
numerade.com
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