Showing 1,181 - 1,200 results of 6,121 for search '(( i ((values decrease) OR (largest decrease)) ) OR ( a ((teer decrease) OR (linear decrease)) ))', query time: 0.64s Refine Results
  1. 1181

    Model diagnostics for all death events. by Xin Zhang (35492)

    Published 2025
    “…The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). …”
  2. 1182

    Model diagnostics for female death events. by Xin Zhang (35492)

    Published 2025
    “…The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). …”
  3. 1183

    Model diagnostics for male death events. by Xin Zhang (35492)

    Published 2025
    “…The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). …”
  4. 1184
  5. 1185
  6. 1186
  7. 1187
  8. 1188

    Data Sheet 1_Impact of multiple environmental factors on influenza–like illness in Fujian Province, China, 2015–2023: a multicity study.zip by Xiaoyan Yao (8723622)

    Published 2025
    “…The NO₂–ILI association was non–linear, resembling an inverted “U” shape, with a risk peak at 40.5 μg/m<sup>3</sup>. …”
  9. 1189
  10. 1190
  11. 1191
  12. 1192
  13. 1193
  14. 1194
  15. 1195
  16. 1196
  17. 1197
  18. 1198

    Table 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

    Published 2025
    “…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”
  19. 1199

    Image 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

    Published 2025
    “…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”
  20. 1200