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Reasons for missing data include; RCS (RIP = 13, LITU care ongoing at time of analysis = 5, not recorded = 2), ICUMS and CPAx (RIP= 13, no therapy input required = 9, LITU care ongoing at time of analysis = 5, not recorded = 18).
Missing data include "don't know", refusals, interview break-offs and data missing from the computer-assisted telephone interviewing (CATI) system.
† Values are mean (SD) or %. ‡ Variables (n) with missing data include maternal hemoglobin (21), CD4+ lymphocyte count (53), maternal age (1), parity (0), birthweight (3), gestational age (9), length (1), and head circumference (1).
Authors are encouraged to provide information on missing data, include details of the analyses when using MI, explore the impact of missing data on their results, and assess the sensitivity of the MI results to plausible departures from the MAR assumption.
Existing approaches in handling missing data include likelihood, imputation and inverse probability weighting.
Examples of such missing data include information regarding the structures and properties of deep geological systems (permeabilities, potential differences), the identities of the fracking additives used, and the chemical and toxicological properties of such additives.
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Analytical results derived from the multiply imputed data were compared with results obtained with other methods for dealing with missing data (including complete case analyses and with missing data indicators with single-value imputation).
Blanks indicate missing data, including data withheld for confidentiality reasons, and groups for which no data was available.
Blanks indicate missing data, including data withheld for confidentiality, and groups for which no data were available.
But the fact that the missing data included intelligence information increased the level of concern among law enforcement officials.
When extracting data from the electronic database, we excluded all missing data, including missing data on accompanying symptoms.
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