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  "Title": "Misspecified Models for Gene-Environment Interaction",
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  "Description": "The first major functionality is to compute the bias in\nregression coefficients of misspecified linear gene-environment\ninteraction models. The most generalized function for this\nobjective is GE_bias(). However GE_bias() requires\nspecification of many higher order moments of covariates in the\nmodel. If users are unsure about how to calculate/estimate\nthese higher order moments, it may be easier to use\nGE_bias_normal_squaredmis(). This function places many more\nassumptions on the covariates (most notably that they are all\njointly generated from a multivariate normal distribution) and\nis thus able to automatically calculate many of the higher\norder moments automatically, necessitating only that the user\nspecify some covariances. There are also functions to solve for\nthe bias through simulation and non-linear equation solvers;\nthese can be used to check your work. Second major\nfunctionality is to implement the Bootstrap Inference with\nCorrect Sandwich (BICS) testing procedure, which we have found\nto provide better finite-sample performance than other\ninference procedures for testing GxE interaction. More details\non these functions are available in Sun, Carroll, Christiani,\nand Lin (2018) <doi:10.1111/biom.12813>.",
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