Search alternatives:
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
significant estimated » significant estimates (Expand Search), significantly mitigated (Expand Search), significantly overestimated (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
Showing 81 - 100 results of 13,303 for search '(( significant estimated decrease ) OR ( significantly predicted decrease ))', query time: 0.62s Refine Results
  1. 81
    Schematics of the orientation delay-estimation experiment and results.

    Schematics of the orientation delay-estimation experiment and results. by Yi-Jie Zhao (11663148)

    Published 2021
    Save to List
    Saved in:
  2. 82
    Predicted climate change impacts on GHG emission percentage change on groundnuts, sunflower and soybean production at Ofcolaco, Syferkuil and Punda Maria, Limpopo, South Africa by 2030 and 2050 under four climate change scenarios.

    Predicted climate change impacts on GHG emission percentage change on groundnuts, sunflower and soybean production at Ofcolaco, Syferkuil and Punda Maria, Limpopo, South Africa by... by Priscilla Ntuchu Kephe (18515965)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  3. 83
    DataSheet4_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf

    DataSheet4_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  4. 84
    DataSheet3_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv

    DataSheet3_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  5. 85
    DataSheet4_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf

    DataSheet4_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  6. 86
    DataSheet3_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv

    DataSheet3_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  7. 87
    DataSheet2_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv

    DataSheet2_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  8. 88
    DataSheet1_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf

    DataSheet1_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  9. 89
    DataSheet1_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf

    DataSheet1_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.pdf by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  10. 90
    DataSheet2_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv

    DataSheet2_Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination.csv by Daniel Deme (12023909)

    Published 2022
    “…Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. …”
    Save to List
    Saved in:
  11. 91
    Hierarchical logistic regression models of mobility variables to predict arboviral prevalence.

    Hierarchical logistic regression models of mobility variables to predict arboviral prevalence. by Maile T. Phillips (8595882)

    Published 2023
    Save to List
    Saved in:
  12. 92
    Model estimates and significance levels from linear mixed-effect models of ECM root tip colonization.

    Model estimates and significance levels from linear mixed-effect models of ECM root tip colonization. by Laura García de Jalón (8939456)

    Published 2020
    Save to List
    Saved in:
  13. 93
    Multivariate regression analysis to explain the decrease in visibility and palpability.

    Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

    Published 2025
    Save to List
    Saved in:
  14. 94
    Significant interaction (time by group) for PPTd.

    Significant interaction (time by group) for PPTd. by Einat Kodesh (13132997)

    Published 2022
    Save to List
    Saved in:
  15. 95
    ROC Results Predicted in the Sample.

    ROC Results Predicted in the Sample. by Fangyi Yang (18867853)

    Published 2025
    “…A mixed distribution model of passenger patience was constructed through survival analysis and calibrated to reflect empirical data accurately. The model estimation results indicate that passenger patience significantly influences drop-off decisions. …”
    Save to List
    Saved in:
  16. 96
    Significant decrease of the coiled-coil score in the double proline-substituted CAHS3 mutant.

    Significant decrease of the coiled-coil score in the double proline-substituted CAHS3 mutant. by Akihiro Tanaka (342394)

    Published 2022
    Save to List
    Saved in:
  17. 97
    Predicted functional profiles of the <i>C. capitata</i> gut microbiota in control (C) and treated (T) samples.

    Predicted functional profiles of the <i>C. capitata</i> gut microbiota in control (C) and treated (T) samples. by Maria Cecilia Rasuk (4594303)

    Published 2025
    Save to List
    Saved in:
  18. 98
    EMS decreases female fecundity and <i>Wolbachia</i> titre in the next generation in a dose-dependent manner.

    EMS decreases female fecundity and <i>Wolbachia</i> titre in the next generation in a dose-dependent manner. by Elves H. Duarte (10994504)

    Published 2021
    Save to List
    Saved in:
  19. 99
    AME of US and EU FTA participation on the predicted probability of partial or full implementation and full implementation of unhealthy commodity policies after matching.

    AME of US and EU FTA participation on the predicted probability of partial or full implementation and full implementation of unhealthy commodity policies after matching. by Pepita Barlow (3822556)

    Published 2023
    Save to List
    Saved in:
  20. 100
    Estimated short- and long-term cumulative changes in CRC incidence and CRC mortality attributable to screening, diagnosis, and treatment decreases in 2020 and 2021.

    Estimated short- and long-term cumulative changes in CRC incidence and CRC mortality attributable to screening, diagnosis, and treatment decreases in 2020 and 2021. by Joachim Worthington (8394213)

    Published 2024
    Subjects:
    Save to List
    Saved in:

Search Tools: