false negative error

Type II error Statistics An error which occurs when the statistical analysis of a trial detects no difference in outcomes between a treatment group and a control group when in fact a true difference exists

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This susceptibility to prevalence occurs logically because the probability of making a false positive decision error is lower where the prevalence of true positives is higher, and the probability of making a false negative error is lower when the prevalence of true negatives is greater.

Detecting more true positives (the same as decreasing false negative errors and increasing sensitivity) always comes at a cost to increased false positive errors.

Technical adequacy of response to intervention decisions

In this light a rational decision maker following accepted risk management principles would have to consider, among other things, the respective consequences of a false positive and a false negative error.

The limits of intelligence in maritime counterproliferation operations

9,10) False negative errors occur five times more commonly than false positive errors.

The prevalence of undiagnosed abnormalities on non-contrast-enhanced computed tomography compared to contrast-enhanced computed tomography of the brain

The rate of false positive errors was somewhat higher than the rate of false negative errors.

Disproportionality at the "front end" of the child welfare services system: an analysis of rates of referrals, "hits," "misses," and "false alarms"

False negative errors may lead to overlooked dynamic

Network neutrality between false positives and false negatives: introducing a European approach to American broadband markets

There would be 5 appeals of false negative errors that would

Patent examination priorities

False negative errors occur when the underlying unobserved truth is different from zero effect.

The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives

All false negative errors (missed SNPs) of the 1248 centered cases are listed according to background sequence, product size, and SNP type in Table 1.

Sensitivity and specificity of single-nucleotide polymorphism scanning by high-resolution melting analysis

False negative errors are more serious than false positive errors because intrusions are going undetected.

Catching network chicanery

Developing a nursing home PAS which minimizes both false positive and false negative errors is particularly difficult.