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discard subjects
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "discard subjects" is correct and usable in written English.
It can be used in contexts where you want to indicate the removal or elimination of certain subjects from consideration or discussion. Example: "In this analysis, we will discard subjects that do not meet the criteria for inclusion in the study."
✓ Grammatically correct
Science
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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
3 human-written examples
The scores given by these subjects are processed to discard subjects who are suspected to have voted randomly.
Another advantage of the models used is that they do not discard subjects with incomplete data.
Subjects were rated on a modified Hamilton Depression Rating Scale for depression and all of them completed the self-rating Beck Depression Inventory 11 in order to discard subjects with depression.
Human-verified similar examples from authoritative sources
Similar Expressions
57 human-written examples
There is a significant amount of missing covariate information at both stages; thus, discarding subjects with missing information is inefficient and may introduce bias (Little and Rubin 2002).
For application in PopPK analyses performed using nonlinear mixed-effects modeling with NONMEM, we identified five methods for handling missing categorical data, which are presented in Table I: discarding subjects with missing data (DROP), estimation of an additional covariate effect for the missing group (EXTRA), and several methods using mixture models (MIX).
Science
Interestingly, the other subject whose data did not conform to the model (discarded subject 15) also revealed a peculiar reading style, but this time reversed, i.e. this subject exhibited highly positive Delta values (Figure 3, right panel; Table 4).
Science
After the 5 minute time point, the gum was discarded and subjects sat quietly with their heads hung, making minimal jaw and facial movements to allow the saliva to accumulate.
Science
For each of the three view categories, we use the following testing protocol: (i) per subject, discard the two orientations that do not have to be tested, (ii) train a gender classifier using all the cycles belonging to the two orientations that do not have to be tested, and (iii) test with the cycles of the subject belonging to the testing orientation.
We describe why discarding unmatched, untreated subjects does not introduce bias into the estimate of treatment effect.
We statistically analyzed complete data on 138 subjects, discarding data for subjects who failed to answer questionnaires, were taking medication, or for whom we experienced technical problems regarding the CS analysis.
Because we wished to explore meaningful relationships between connectivity and behavioural performance in the aphasic group, eigenvariate data from the baseline (RevSp) scans were discarded in all subjects.
Science
Expert writing Tips
Best practice
When using "discard subjects", clearly state the criteria for exclusion to maintain transparency and avoid bias in your research or analysis.
Common error
Avoid vague criteria like "poor data quality" without specifying objective measures, as this can introduce subjectivity and undermine the validity of your results.
Source & Trust
84%
Authority and reliability
4.3/5
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Real-world application tested
Linguistic Context
The phrase "discard subjects" primarily functions as a verb phrase used to describe the action of excluding or removing subjects from a study or analysis. Ludwig examples confirm this usage across various scientific contexts.
Frequent in
Science
90%
News & Media
7%
Formal & Business
3%
Less common in
Encyclopedias
0%
Wiki
0%
Reference
0%
Ludwig's WRAP-UP
The phrase "discard subjects" is grammatically correct and functions as a verb phrase describing the act of excluding participants from a study or analysis. Ludwig AI confirms its usage is primarily within formal and scientific contexts, aiming to maintain data integrity. While alternatives like "exclude participants" or "remove subjects from analysis" exist, "discard subjects" is direct and effective. It's crucial to clearly define exclusion criteria to avoid bias. Although uncommon, its precise application in research ensures transparency and validity.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
exclude participants
Replaces "subjects" with "participants", emphasizing the voluntary nature of participation.
remove subjects from analysis
Explicitly states the action of removing subjects specifically from an analysis.
eliminate subjects
A more forceful term for removing subjects, implying a complete removal.
omit subjects
Suggests subjects are left out, without necessarily being actively removed.
exclude data from subjects
Focuses on excluding the data associated with subjects rather than the subjects themselves.
reject subjects
Implies that subjects are deemed unsuitable or invalid.
withdraw subjects
Suggests subjects are actively pulled or opt out from a research.
deselect subjects
Emphasizes the initial selection process and its reversal.
filter out subjects
Suggests a screening process where subjects not meeting certain criteria are removed.
set aside subjects
Implies subjects are temporarily or permanently excluded.
FAQs
How can I use "discard subjects" in a sentence?
You can use "discard subjects" to describe the process of removing participants from a study based on predefined criteria. For example, "We will discard subjects with incomplete data to ensure the accuracy of our analysis."
What is an alternative to "discard subjects"?
Alternatives include "exclude participants", "remove subjects from analysis", or "eliminate subjects". The best choice depends on the specific context and desired level of formality.
When is it appropriate to "discard subjects" in a research study?
It's appropriate to "discard subjects" when they don't meet the inclusion criteria, have incomplete data, or their data is unreliable due to technical issues or other factors that compromise the validity of the study. Always document the reasons for exclusion.
What are the ethical considerations when deciding to "discard subjects"?
Ensure that the criteria for "discarding subjects" are objective, transparent, and applied consistently. Avoid excluding subjects based on demographic characteristics or other factors that could introduce bias. Document and justify all exclusions.
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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
84%
Authority and reliability
4.3/5
Expert rating
Real-world application tested