Sentence examples for affect the inference from inspiring English sources

The phrase "affect the inference" is correct and usable in written English.
You can use it when discussing how certain factors or variables can influence the conclusions drawn from data or observations.
Example: "The presence of bias in the data can significantly affect the inference made by the researchers."
Alternatives: "influence the conclusion" or "impact the deduction".

Exact(20)

The guiding network is used only for training, and therefore does not affect the inference speed.

In order to check the extent to which this issue could affect the inference in our setting, Tables 17 and 18 in the Appendix section replicate our main results in Table 5 by clustering standard errors at village level.

Finally, all biogeographic analyses are painfully sensitive to taxon sampling and tree topology; inclusion of more species and/or minor changes in the phylogeny could easily affect the inference.

To study the evolution of bacteria, it is important to distinguish between vertical and non-vertical phylogenetic signals; the latter will affect the inference of phylogenetic relationships.

This debate does not affect the inference for species richness effects since both approaches test the fixed effect against its interaction with the random factor (experiments).

Defining simple corrections, we further illustrate how these effects could affect the inference of qualitative history of past populations, using the extinct Cave Bear from the Pleistocene period as an example.

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Similar(40)

This suggests that whether analyses are based on IBC or SIGACT data may substantially affect the inferences drawn.

The question is whether these different kinds of descriptions matter; that is, does framing affect the inferences we make about those behaviors?

Note also that the absence of non-trivial timing signatures in SIGACT prior to 2006 and after mid-2008 maffectecthehe inferences regarding causal relationship between events in [8], [20] - this applies particularly for [20] which analyzes event dynamics exclusively in the first six months of 2005.

Note that this does, of course, not imply that timestamp uncertainties of up to 2 days would not affect the inferences we draw from day-by-day and even distributional comparison - it only suggests that some timing information will be preserved.

A number of limitations affect the inferences of this study.

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