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    A New Algorithm for Matched Case-Control Studies with Applications to Additive Models

A New Algorithm for Matched Case-Control Studies with Applications to Additive Models

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Logistic models are commonly used to analyze matched case-control data. the standard analysis requires the computation of conditional maximum likelihood estimates. The Newton-Raphson method is quite effective in this regard though the computations do not resemble iterative weighted least-squares.