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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
reliable inferences
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "reliable inferences" is correct and usable in written English.
It can be used when discussing conclusions or deductions that can be trusted based on evidence or reasoning. Example: "The study provided reliable inferences about the relationship between diet and health outcomes."
✓ Grammatically correct
Science
Academia
News & Media
Alternative expressions(3)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
The goal is to make reliable inferences while making minimal assumptions about the models generating the data.
To enable more reliable inferences in these small subpopulations, she has developed a Bayesian multilevel model by borrowing information from other subpopulations.
Academia
Kaliouby often emphasizes that this technology can read only facial expressions, not minds, but Affdex is marketed as a tool that can make reliable inferences about people's emotions — a tap into the unconscious.
News & Media
Reliable inferences require attention to species-specific ecological characteristics and their interactions with environmental conditions at a range of spatial scales.
Science
To draw reliable inferences from these case histories about extinctions in other groups of species requires that these be representative and not selected with a bias toward high extinction rates.
Encyclopedias
Finally, I will introduce areas where statistical machine-learning techniques are leading to new classes of computational diagnostic and treatment planning toolstools that tease out subtle information from messy observational datasets, and provide reliable inferences given detailed context about the individual patient.
In a nutshell, the problem is that when one's favorite theory is foisted on the data, the end result is invariably an empirical model which is both statistically and substantively misspecified, but one has no way to disentangle the two sources of error in order to draw reliable inferences.
Science
Many other studies had flaws that he says make it impossible to draw reliable inferences.
Science & Research
Identifying outliers is essential to the data analyst in order to make reliable inferences on the data at hand.
This pattern likely reflects the unreliability of uncorrected transitions for the ineligible group, which is dominated by labor force entrants, and it precludes reliable inferences.
Science
In the former case, matching PISA and TALIS should yield a synthetic data set that retains the ability to draw valid and reliable inferences of policy relevance.
Expert writing Tips
Best practice
When aiming for "reliable inferences", ensure your data is robust and your methodology is transparent. Document your process meticulously to enhance the credibility of your conclusions.
Common error
Avoid making overly strong claims about "reliable inferences" when your dataset is small or biased. Acknowledge the limitations of your data to maintain scholarly integrity.
Source & Trust
87%
Authority and reliability
4.6/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "reliable inferences" functions as a noun phrase, where "reliable" modifies "inferences". It describes the quality of conclusions or deductions drawn from data or evidence. Ludwig confirms the phrase is usable in English.
Frequent in
Science
60%
Academia
25%
News & Media
15%
Less common in
Encyclopedias
0%
Wiki
0%
Formal & Business
0%
Ludwig's WRAP-UP
The phrase "reliable inferences" is a grammatically sound and frequently used term, especially within scientific and academic contexts. It signifies conclusions or deductions that are trustworthy due to their basis in solid evidence and sound reasoning. As Ludwig AI confirms, the phrase is suitable for formal and professional communication. When using this phrase, ensure your methodology is transparent and your data robust to truly warrant the "reliable" descriptor. Alternatives such as "trustworthy deductions" or "dependable conclusions" can be used to convey a similar meaning while potentially adjusting the nuance slightly.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
trustworthy deductions
Focuses on the act of deduction being trustworthy, emphasizing the process rather than the outcome.
dependable conclusions
Highlights the dependability of the conclusions drawn, suggesting they can be relied upon.
valid deductions
Emphasizes the logical validity of the deductions, implying they are sound and well-reasoned.
sound judgments
Implies the judgments made are well-founded and sensible, stressing the quality of the assessment.
credible assumptions
Highlights the believability and trustworthiness of the underlying assumptions.
robust conclusions
Indicates the conclusions are strong and resilient to scrutiny, implying a high degree of certainty.
accurate interpretations
Focuses on the correctness of the interpretations, suggesting they are free from error.
well-founded estimations
Emphasizes the solid basis of the estimations, indicating they are based on reliable information.
evidence-based deductions
Specifically points to deductions that are grounded in concrete evidence, highlighting the empirical support.
defensible assertions
Highlights that the assertions made are capable of being defended or justified.
FAQs
How can I ensure I'm making "reliable inferences"?
To ensure you are making "reliable inferences", focus on using high-quality data, applying appropriate methodologies, and clearly outlining the limitations of your analysis. Transparency and rigor are key.
What are some alternatives to the phrase "reliable inferences"?
You can use alternatives like "trustworthy deductions", "dependable conclusions", or "valid deductions" to convey a similar meaning.
What makes an inference "reliable"?
An inference is considered "reliable" when it is based on solid evidence, sound reasoning, and a transparent methodology, making it trustworthy and likely to be accurate.
In what contexts is it most important to make "reliable inferences"?
Making "reliable inferences" is crucial in contexts such as scientific research, academic studies, and policy-making, where accurate and trustworthy conclusions are essential for informed decision-making.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
87%
Authority and reliability
4.6/5
Expert rating
Real-world application tested