Sentence examples for making valid inferences from inspiring English sources

Regardless of the outcome, minimizing measurement error is important for making valid inferences and CAD systems have the potential to reduce bias and misclassification in other applications besides tumor detection.

Lastly, it is worth repeating that – although the results were useful for making valid inferences about many aspects of HRH dynamics in the countries participating in the survey programme – they should not necessarily be considered as representative of the national health workforce.

And in Connecticut, the language arts curriculum requires kindergartners to read familiar books out loud with fluency, be able to give written and oral responses to questions about books read to them, and "make valid inferences about characters and events using supporting details".

We believe that these subtleties need to be well understood if researchers are to make valid inferences from dynamical properties of a Boolean approximation to an ODE model of a natural system about the ODE dynamics or the behavior of the natural system itself.

Using the same principle one could argue that the opposite also applies, where one cannot make valid inferences about large populations and their possible interactions by focusing only on the individuals from those populations.

However, by applying appropriate statistical methods for recurrent events we can make valid inferences on rates.

This enabled us to make valid inferences at the group level using a two-stage procedure but restricted the group size to 19 patients (Friston et al., 2005).

Future studies should take advantage of time-series data (e.g., measurements equally spaced through time) and methods (e.g., time-domain, frequency domain) to make valid inferences on the health impact of labour markets over time [ 65].

Where the three layers are not properly synchronized, it may not be possible to make valid inferences about the contextualized meanings represented in the information models and structured metadata.

5 This might reflect the challenge of recruiting clusters rather than individuals, but the ability to make valid inferences regarding intervention effects in studies with few clusters is severely compromised.

Stratified sampling improved the representation of particular minority groups within the population (having less number of units in population sex and age wise), prevented oversampling of the respondents as well as made it possible to make valid inferences from the sample to the population (32).