Heterogeneity example sentences

"Heterogeneity" Example Sentences

1. The researchers examined the heterogeneity within the population.
2. The results showed great heterogeneity in the data.
3. We must account for the heterogeneity found in the sample.
4. The study aims to explore the heterogeneity of responses to the new treatment.
5. An important caveat is the potential heterogeneity within the patient group.
6. The phenotypic heterogeneity poses a challenge for diagnosing the disease.
7. The genetic heterogeneity makes this a difficult disease to treat.
8. The behavioral heterogeneity across the cases complicates drawing any definitive conclusions.
9. We need to be aware of potential confounds due to heterogeneity in the study design.
10. There is heterogeneity in how the disease manifests between males and females.
11. The heterogeneity between control and experimental groups limits comparison of the findings.
12. One obstacle is the cultural heterogeneity of the targeted population.
13. There is heterogeneity in the implementation of the policy across regions.
14. We must consider the heterogeneity of needs within the student cohort.
15. Geographic heterogeneity poses challenges for effective policy implementation.
16. Income heterogeneity across households compounds difficulties in proposing effective solutions.
17. The results highlight the heterogeneity in how people respond to the same situation.
18. Educational heterogeneity within schools impacts overall academic performance.
19. The team worked to overcome heterogeneity issues in data collected from different sources.
20. Taking into account heterogeneity is crucial for drawing conclusions from the analysis.
21. I highlighted the heterogeneity that existed within the purportedly homogeneous group.
22. The heterogeneity of motives made the project difficult to manage.
23. The heterogeneity ensures richness but complicates categorization.
24. The study revealed a high degree of attributional heterogeneity among participants.
25. Heterogeneity is valuable as it allows for diversity of perspective and approach.
26. Ignoring heterogeneity leads to inaccurate generalization in research findings.
27. Reducing heterogeneity improves efficiency but sacrifices adaptability and creativity.
28. Heterogeneity adds complexity but can also reveal new insights.
29. An advantage of the internet is enabling connection among groups with heterogeneity.
30. The report calls attention to historical and current heterogeneity within supposedly unified groups.
31. Expert opinions showed marked heterogeneity regarding potential solutions.
32. Heterogeneity undermines homogeneity but allows for constant evolution.
33. High heterogeneity complicates modeling but can reveal unforeseen connections.
34. The measures taken to reduce heterogeneity may mask valuable diversity.
35. The lack of heterogeneity in the sample limits the generalizability of the results.
36. Extra attention is needed when drawing conclusions from studies with high heterogeneity.
37. Heterogeneity affects the validity and reliability of aggregated data.
38. Results based on heterogeneous data require careful interpretation.
39. More attention should be given to heterogeneity within standardized categories.
40. Reducing heterogeneity makes management easier but limits innovation.
41. The paper highlights the epistemic value of heterogeneity.
42. The data reveal significant temporal heterogeneity in the results.
43. The cohort exhibited marked heterogeneity with respect to the outcome measure.
44. The team worked to account for heterogeneity in background variables.
45. Efforts were made to capture heterogeneity in participant responses.
46. Socioeconomic heterogeneity posed challenges for data interpretation.
47. The high clinical heterogeneity made treatment difficult.
48. The sample showed significant heterogeneity regarding demographic factors.
49. The researchers measured heterogeneity at multiple biological levels.
50. Addressing heterogeneity is crucial for improving health outcomes.
51. Mechanisms must be developed to account for heterogeneity in organizational contexts.
52. A lack of heterogeneity limits robustness of models.
53. Heterogeneity poses methodological challenges but reveals important nuances.
54. Researchers must work to distinguish meaningful heterogeneity from noise.
55. Heterogeneity helps highlight what is universal amidst differences.
56. Efforts to reduce heterogeneity sometimes overlook valuable diversity.
57. The models do not adequately capture heterogeneity within subgroups.
58. Heterogeneity complicates analysis but enriches understanding.
59. The data reveal a high degree of heterogeneity with respect to the predictor variables.
60. Heterogeneity offers both challenges and opportunities for advancement.

Common Phases

1. Account for heterogeneity
2. Address heterogeneity
3. Reduce heterogeneity
4. Capture heterogeneity
5. Measure heterogeneity
6. Reveal heterogeneity
7. Examine heterogeneity
8. Complicate heterogeneity
9. Understand heterogeneity
10. Consider heterogeneity