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  "Description": "We aim for fitting a multinomial regression model with\nLasso penalty and doing statistical inference (calculating\nconfidence intervals of coefficients and p-values for\nindividual variables). It implements 1) the coordinate descent\nalgorithm to fit an l1-penalized multinomial regression model\n(parameterized with a reference level); 2) the debiasing\napproach to obtain the inference results, which is described in\n\"Tian, Y., Rusinek, H., Masurkar, A. V., & Feng, Y. (2024).\nL1‐Penalized Multinomial Regression: Estimation, Inference, and\nPrediction, With an Application to Risk Factor Identification\nfor Different Dementia Subtypes. Statistics in Medicine,\n43(30), 5711-5747.\"",
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