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Exact(16)
Both random effects from NLME-ODE and below detection limit (left-censoring) viral load can be treated as missing data.
From one point of view, both individual parameter θ i and below detection limit data can be treated as missing data.
Within the mixed-effects modeling framework, the random effects can be treated as missing data so that the EM algorithm is capable of estimating fixed effects after averaging random effects in the E-step.
Similarly, sequencing error, usually magnified for aDNA due to chemical damage, could also be treated as missing biological data for the analyses to focus on relevant information.
For the longitudinal analyses, missing outcome measures will be treated as missing at random.
Spot-matching-related problems affect the statistical analysis: Gaps in expression profiles have to be treated as missing values.
Similar(44)
Host without associates (= missing areas) were treated as missing information.
The boys were treated as missing persons for 30 years.
All characters were unordered and equally weighted and gaps were treated as missing.
In the MP phylogenetic analysis, indels were treated as missing data.
All "don't know" responses, comprising between 2 and 5%, were treated as missing values.
More suggestions(15)
be misdiagnosed as missing
be noticed as missing
be classified as missing
be coded as missing
be identified as missing
be recoded as missing
be reported as missing
be labeled as missing
be recorded as missing
be noted as missing
be investigated as missing
be excluded as missing
be regarded as missing
be confirmed as missing
be detected as missing
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com