Methods for estimating the parameters of the logistic regression model when the data are collected using a case-control (retrospective) scheme are compared. The regression coefficients are estimated by maximum likelihood methodology. This leaves the constant term parameter to be estimated. Four meth
โฆ LIBER โฆ
The importance of the data-generating model in probability estimation
โ Scribed by Sarah Lichtenstein; George J. Feeney
- Publisher
- Elsevier Science
- Year
- 1968
- Weight
- 311 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0030-5073
No coin nor oath required. For personal study only.
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Model selection should be based not solely on goodness-of-fit, but must also consider model complexity. While the goal of mathematical modeling in cognitive psychology is to select one model from a set of competing models that best captures the underlying mental process, choosing the model that best