In this project we develop different methodologies for estimating the regression parameters under the assumptions that the response and predictors are not jointly observed but are brought together via an error-prone record linkage process that possibly results in mismatching.
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In this project we develop different methodologies for estimating the regression parameters under the assumption that the response and predictors are not jointly observed but are brought together via an error-prone record linkage process that could create mismatches and missed-matches.
gaurikt/Regression-with-linked-data-files
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In this project we develop different methodologies for estimating the regression parameters under the assumption that the response and predictors are not jointly observed but are brought together via an error-prone record linkage process that could create mismatches and missed-matches.
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