Heterogeneity example sentences
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- "Heterogeneity" example sentences
Related (10): diversity, variety, dissimilarity, nonuniformity, disparity, incongruity, difference, multifariousness, mixedness, assortment
"Heterogeneity" Example Sentences
- The researchers examined the heterogeneity within the population.
- The results showed great heterogeneity in the data.
- We must account for the heterogeneity found in the sample.
- The study aims to explore the heterogeneity of responses to the new treatment.
- An important caveat is the potential heterogeneity within the patient group.
- The phenotypic heterogeneity poses a challenge for diagnosing the disease.
- The genetic heterogeneity makes this a difficult disease to treat.
- The behavioral heterogeneity across the cases complicates drawing any definitive conclusions.
- We need to be aware of potential confounds due to heterogeneity in the study design.
- There is heterogeneity in how the disease manifests between males and females.
- The heterogeneity between control and experimental groups limits comparison of the findings.
- One obstacle is the cultural heterogeneity of the targeted population.
- There is heterogeneity in the implementation of the policy across regions.
- We must consider the heterogeneity of needs within the student cohort.
- Geographic heterogeneity poses challenges for effective policy implementation.
- Income heterogeneity across households compounds difficulties in proposing effective solutions.
- The results highlight the heterogeneity in how people respond to the same situation.
- Educational heterogeneity within schools impacts overall academic performance.
- The team worked to overcome heterogeneity issues in data collected from different sources.
- Taking into account heterogeneity is crucial for drawing conclusions from the analysis.
- I highlighted the heterogeneity that existed within the purportedly homogeneous group.
- The heterogeneity of motives made the project difficult to manage.
- The heterogeneity ensures richness but complicates categorization.
- The study revealed a high degree of attributional heterogeneity among participants.
- Heterogeneity is valuable as it allows for diversity of perspective and approach.
- Ignoring heterogeneity leads to inaccurate generalization in research findings.
- Reducing heterogeneity improves efficiency but sacrifices adaptability and creativity.
- Heterogeneity adds complexity but can also reveal new insights.
- An advantage of the internet is enabling connection among groups with heterogeneity.
- The report calls attention to historical and current heterogeneity within supposedly unified groups.
- Expert opinions showed marked heterogeneity regarding potential solutions.
- Heterogeneity undermines homogeneity but allows for constant evolution.
- High heterogeneity complicates modeling but can reveal unforeseen connections.
- The measures taken to reduce heterogeneity may mask valuable diversity.
- The lack of heterogeneity in the sample limits the generalizability of the results.
- Extra attention is needed when drawing conclusions from studies with high heterogeneity.
- Heterogeneity affects the validity and reliability of aggregated data.
- Results based on heterogeneous data require careful interpretation.
- More attention should be given to heterogeneity within standardized categories.
- Reducing heterogeneity makes management easier but limits innovation.
- The paper highlights the epistemic value of heterogeneity.
- The data reveal significant temporal heterogeneity in the results.
- The cohort exhibited marked heterogeneity with respect to the outcome measure.
- The team worked to account for heterogeneity in background variables.
- Efforts were made to capture heterogeneity in participant responses.
- Socioeconomic heterogeneity posed challenges for data interpretation.
- The high clinical heterogeneity made treatment difficult.
- The sample showed significant heterogeneity regarding demographic factors.
- The researchers measured heterogeneity at multiple biological levels.
- Addressing heterogeneity is crucial for improving health outcomes.
- Mechanisms must be developed to account for heterogeneity in organizational contexts.
- A lack of heterogeneity limits robustness of models.
- Heterogeneity poses methodological challenges but reveals important nuances.
- Researchers must work to distinguish meaningful heterogeneity from noise.
- Heterogeneity helps highlight what is universal amidst differences.
- Efforts to reduce heterogeneity sometimes overlook valuable diversity.
- The models do not adequately capture heterogeneity within subgroups.
- Heterogeneity complicates analysis but enriches understanding.
- The data reveal a high degree of heterogeneity with respect to the predictor variables.
- Heterogeneity offers both challenges and opportunities for advancement.
Common Phrases
- Account for heterogeneity
- Address heterogeneity
- Reduce heterogeneity
- Capture heterogeneity
- Measure heterogeneity
- Reveal heterogeneity
- Examine heterogeneity
- Complicate heterogeneity
- Understand heterogeneity
- Consider heterogeneity
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