Kota KatanodaNational Cancer Center, Japan | ncc · Center for Cancer Control and Information Services
Editor-in-Chief of the Journal of Epidemiology, the official journal of the Japan Epidemiological Association
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
I want to conduct path analysis with logistic regression model.
Exposure variables are continuous (body weights at different time points), and mediator variables are also continuous (age etc.).
Outcome is dichotomous variable (existence of a disease).
My interests are the direct and indirect effects of exposure variables on the outcome. So I am trying to do path analysis with logistic regression model.
I use SAS, but I could not find how to apply logistic model with PROC CALIS.
Are there any options to select logistic model? or some other procedures?
This may be done by conducting several regression analyses and re-calculating the output coefficients, but I want to avoid self calculation.
Some websites say it can be done by Mplus. Is it an easier way to use Mplus?
I am looking for a standard way to calculate risk-factor-specific incidence rate from overall population incidence rate. The available data are overall population incidence rate of a disease, prevalence of a risk factor, and relative risk of that disease according to the risk factor. What I want to do is to estimate the incidence rate of people with or without that risk factor. My image is to allocate the overall incidence rate into two groups (risk factor holders and non-holders), keeping consistency with the overall incidence rate. Are there any good references?