Sentence examples for misses generated from inspiring English sources

In the first example, the number of misses generated when a subset of addresses is mapped to a set is the same regardless of the particular addresses chosen, as assumed by HoG.

Jeffs et al 32 also found that near misses generate three typical responses: doing a quick fix and nothing else ('fixing and forgetting' in our study), which was the most frequent response, and two types of 'fixing and reporting', whereby the report falls into a black hole, or is used as a catalyst for organisational change.

And they will have to determine how much of the excitement they miss was generated by the nature of the dances themselves and how much derived from the controversies surrounding them.

Therefore, reliability issues are a critical concern of the miss-contact generated by human errors or inaccuracy of the contact positions produced by non-constant pressures.

The fact that 19,000 people are still missing has generated questions about the methodology and effectiveness of the government's search effort.

Labor practices for missing items generated by multiple imputation.

Simulations were then repeated with missing data generated from the complete datasets.

Per protocol analysis and multiple imputation of missing values generated the same results.

Using multiple imputation for missing values generated similar results to analyses based on complete cases; low health literacy remained a significant predictor of mortality after adjusting statistically for demographics, socioeconomic position, health status, and health behaviours.

The type I error rate still remained stable and close to the expected value (5%) for all methods, whatever the proportion of missing data generated (see Table A3 in Additional file 3).

Obesity prevention has been difficult to implement and major impediments include power inequalities across various actors due to lack of engagement. A. Linden provides an informative analysis of the missing data generated as the unintended consequence of lack of patient (or service users) engagement in public health research.