Sentence examples for the implications of random from inspiring English sources

It offers more information about both trends in the association as the cutoff changes and the implications of random fluctuations.

It offers more information about trends in the association as the cutoff changes and the implications of random fluctuations than a single OR and 95% confidence interval.

It is also important to emphasise that this work entirely separates random and systematic error and relates only to the implications of random error in the sense that it is assumed that any errors in measuring a variable are independent of the value of other variables.

If that normative decision is that a measure should have such properties and ordinal tasks are to be used in valuation, it is important to recognize the implications of random utility theory (RUT), which underpins discrete choice models (Thurstone, 1927; McFadden, 1974).

By assessing the implications of random errors and omissions on population descriptions and mortality estimates using surveillance data collected over a 10-year period in BRHP, this study has addressed important issues regarding the effects of measurement error on DSS study results.

What are the implications of using random data in SAR studies using activity landscape approaches?

We review here the emerging principles of spatial genome organization and discuss the implications of non-random spatial genome organization for the genesis and specificity of cancerous chromosomal translocations.

The implications of a completely random choice and the guided choice, using the method proposed, were analysed with an iterative and exhaustive approach.

One of the implications of including a random effect in a meta-analysis model is that it acts as a limiter on the magnitude of the influence any individual study has on the analysis.

The implications of this inability to estimate random effects go beyond bias in harm rate estimates to scenarios where variation between practices is of primary interest rather than simply a parameter to be adjusted for.

We then test the implications of the theoretical model using pooled linear probability models and random intercept multilevel models8, accounting for sample selection bias in the mobility equation.