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In this work, we consider the problems of imputation and joint-testing from summary statistics and therefore selected the MSE of imputed z-scores at observed SNPs and MSE of computed joint-test statistics as our objective functions, respectively (see Sections 2.3 and 2.4).
For example, in this work, we consider the problems of imputation and joint-testing from summary statistics, using imputation error and joint-test accuracy as the objective function, respectively.
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According to Weber, this type of coordination would be inefficient, especially because it would be incapable of solving the problem of imputation (i.e. of accurately determining the relative values of capital goods).
Furthermore, the portion of the genome represented by multiple sequencing reads is also high, making the problem of imputation of missing genotypes small relative to human studies [ 45].
To tackle the problem of imputation, AlphaImpute combines long-range phasing, haplotype library imputation, simple phasing and imputation rules, and segregation analysis.
However with more than 60% missingness, the extreme levels of uncertainty about the imputed values resulted in high standard deviations and convergence problems of the imputation procedure with MI [ 21].
While there are clear merits to this idea, one might worry that the haplotype segments of non-African ancestry would pose problems for imputation.
In this study, we highlight issues in model selection in the genome-wide association studies and problems in imputation of these special genomic regions.
To deal with the problems of non-response, one-parameter classes of imputation techniques have been suggested and their corresponding point estimators have been proposed.
Traditional measures of imputation cannot effectively address these problems.
Auxiliary variables were not included in the imputation model due to convergence problems of the EM algorithm, which was used to estimate the initial values of imputation model parameters, of procedure MI.
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