The phrase "attrition depending on" is not correct in standard written English.
It may be intended to express a relationship where attrition is influenced by certain factors, but the construction is awkward and unclear.
Example: "The rate of attrition is depending on various factors such as employee satisfaction and market conditions."
Alternatives: "attrition based on" or "attrition influenced by".
Multiple imputation assumes that data are missing at random (attrition depends on observed, not on unobserved variables) [ 29].
In conclusion, this study provides evidence that the gender-specific differences in telomere attrition depend on factors leading, in the female, to enhanced repair/recombination processes in the lymphocytes (visible by EEE) and, finally, to longer telomeres (evident by greater skewness and kurtosis of the female histogram).
This separate analysis facilitates the identification of the major attrition causes depending on the time on ART and the adaptation of ART care delivery services accordingly.
The Wooldridge estimator assumes a balanced panel, because selection and attrition can depend on initial conditions.
We also ran a linear probability and a probit regression to test if the attrition status depends on the pollution exposure.
Sample attrition rates depend on the length of follow-up, characteristics of the patient population and the research staff, and participants׳ opinions of the research project after their baseline assessment.
The corresponding ORs of the associations between study variables and a dichotomized drop-out variable would be about the following (depending on attrition rate): β =.00 equals OR =1; β =.10 equals OR = 1.22; β =.20 equals OR =1.49; β =.30 equals OR =1.82; β =.40 equals OR = 2.23.
In many theatres of operation, mobile campaigns degenerated into static trench warfare, depending on the slow attrition of the enemy over many years for victory.
Depending on the research question, attrition and missing data reduced the sample as shown in Fig. 1.
In longitudinal studies, inconsistent data removed during data cleaning can yield significant losses, and may lead to bias, depending on the amount of attrition at each time point and the magnitude of the differences between those retained in the panel and those lost by such attrition [ 29].
