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Third, some variables had missing values, such as CD4 cell counts (12.1%) and BMI (2.9%).
Surveys often make adjustments to compensate for missing values, such as occurred in the UMDES.
Correspondingly, local approach uses the potential local information to estimate the missing values, such as Local Least Squares (LLS) and Weighted K-Nearest Neighbor imputation (WKNN) [ 14].
The corresponding authors were contacted to obtain missing values such as p value, SD, CI 95%, and standard error (for calculation of SD in particular cases).
While we chose to use the capture-recapture method there are also other methods that can estimate survival rates with missing values such as the Kaplan-Meier [ 65], the proportional hazards model [ 66], or Bayesian approximation [ 67].
28 We handled variables with missing values (such as systolic blood pressure, serum sodium, B type natriuretic peptide, and creatinine) by multiple imputation 29 and assumed an underlying multivariate normal distribution.
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Missing values denote such non-significant results.
Unlike in the methods of [ 13], data was not pre-filtered for rows with missing values, because such rows would automatically be filtered out in later steps, i.e. when scoring genes for periodicity.
The number of augmented missing values is chosen such that the Euler-Maruyama approximation of the transition density between and is accurate, that is, is chosen such that can be closely approximated by a Gaussian distribution.
For convenience, the API tolerates missing values and, in such a case, the average is returned by default.
As a result, missing values from responses such as "not ascertained" and "don't know or refused" were replaced using the Markov chain Monte Carlo method through the multiple-imputation procedure in LISREL 8.53 [ 33].
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