Sentence examples for lost information and from inspiring English sources

Exact(2)

Scott (1997) states that a lack of a full review of ordinal data increases the potential for lost information and that ordinal regression facilitates the analysis whilst taking account of a number of explanatory variables, accounting for the effects of each in the form of an odds ratio, so excluding unverifiable assumptions [27].

Third, EPI was defined as a cutoff concentration of FE-1 less than 200 μg/g in the present study, which means that continuous variables were converted into categorical variables to divide patients into different groups; thus, this procedure had inherent limitations that may result in lost information and reduced power of statistical tests [ 33].

Similar(58)

In the "information world", we are losing information and that is sad".

He wrote, "As anyone who uses one can attest, computers break down, get viruses, lose information, and corrupt data".

Without their full participation, we lose information and opportunities for rapid intervention.

While we may be able to talk on the phone and stir coffee simultaneously, we can't carry on a conversation and text at the same time without losing information and time.

If the error-rate exceeds some threshold (which we call the 'Eigen limit' [ 15]) the system loses information, and essentially becomes randomised.

We would have preferred to use alternative methods, such as multilevel analyses, as we lose information and the analyses become less efficient when we aggregate.

Simply using the cases with complete covariate data, i.e. performing a complete case (CC) analysis, loses information and hence efficiency, and may lead to biased regression coefficients if the missingness is related to the outcome [ 2, 3].

The use of dichotomized cord adducts is preferable because dichotomization is less vulnerable to errors in measurement, does not materially lose information, and permits comparison of the most highly exposed children with those who had lower exposure.

The principle of redundancy and its application in self-calibration, error compensation, system optimization, lost Information recovery, and measuring range extension are discussed.

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