predictive binomial logistic regression analyses Search Results


roadmap epigenomics 25 state chromhmm model  (Epigenomics ag)
90
Epigenomics ag roadmap epigenomics 25 state chromhmm model
Roadmap Epigenomics 25 State Chromhmm Model, supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/roadmap epigenomics 25 state chromhmm model/product/Epigenomics ag
Average 90 stars, based on 1 article reviews
roadmap epigenomics 25 state chromhmm model - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
promis pf-10a  (ProMIS Neurosciences)
90
ProMIS Neurosciences promis pf-10a
Promis Pf 10a, supplied by ProMIS Neurosciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/promis pf-10a/product/ProMIS Neurosciences
Average 90 stars, based on 1 article reviews
promis pf-10a - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
statistical analyses software  (SAS institute)
90
SAS institute statistical analyses software
Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized <t>MRI</t> <t>signal</t> intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above
Statistical Analyses Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/statistical analyses software/product/SAS institute
Average 90 stars, based on 1 article reviews
statistical analyses software - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
prometey model  (Prometey Grain Trading Company Ltd)
90
Prometey Grain Trading Company Ltd prometey model
Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized <t>MRI</t> <t>signal</t> intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above
Prometey Model, supplied by Prometey Grain Trading Company Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/prometey model/product/Prometey Grain Trading Company Ltd
Average 90 stars, based on 1 article reviews
prometey model - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
site-specific statistical model  (Solutia Inc)
90
Solutia Inc site-specific statistical model
Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized <t>MRI</t> <t>signal</t> intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above
Site Specific Statistical Model, supplied by Solutia Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/site-specific statistical model/product/Solutia Inc
Average 90 stars, based on 1 article reviews
site-specific statistical model - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
predictive binomial logistic regression analyses  (STATA Corporation)
99
STATA Corporation predictive binomial logistic regression analyses
Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized <t>MRI</t> <t>signal</t> intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above
Predictive Binomial Logistic Regression Analyses, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/predictive binomial logistic regression analyses/product/STATA Corporation
Average 99 stars, based on 1 article reviews
predictive binomial logistic regression analyses - by Bioz Stars, 2026-04
99/100 stars
  Buy from Supplier
overdispersion parameter  (SAS institute)
90
SAS institute overdispersion parameter
Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized <t>MRI</t> <t>signal</t> intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above
Overdispersion Parameter, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/overdispersion parameter/product/SAS institute
Average 90 stars, based on 1 article reviews
overdispersion parameter - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized MRI signal intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA

Article Title: Anterior cruciate ligament grafts display differential maturation patterns on magnetic resonance imaging following reconstruction: a systematic review

doi: 10.1007/s00167-019-05685-y

Figure Lengend Snippet: Validation of the weighted least-squares regression model. A significant effect of graft type (P = 0.001) and a significant interaction between time point*graft type (P = 0.016) and time point*graft source (P = 0.001) were observed on the normalized MRI signal intensity. As such, the model is supported by the strong correlation between observed versus predicted values of normalized MRI signal intensity (R2 = 0.697; P < 0.001). The coefficients for each level of the independent variables in the predicted normalized MRI signal intensity model are shown above

Article Snippet: Development of an MRI signal intensity prediction model Statistical analyses were performed in JMP 13 (SAS Institute).

Techniques: Biomarker Discovery

Predicted normalized MRI signal intensity by graft type and time point: autografts. HS-RP grafts were associated with decreased predicted normalized MRI signal intensity, an increased graft maturity, at all time points. Furthermore by 12 months postoperatively, predicted normalized MRI signal intensity was significantly greater in BPTB grafts compared to HS grafts without differences in HS versus HS-RP grafts (n.s.). These results suggest increasing graft maturation at 12 months in HS and HS-RP grafts compared to BPTB

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA

Article Title: Anterior cruciate ligament grafts display differential maturation patterns on magnetic resonance imaging following reconstruction: a systematic review

doi: 10.1007/s00167-019-05685-y

Figure Lengend Snippet: Predicted normalized MRI signal intensity by graft type and time point: autografts. HS-RP grafts were associated with decreased predicted normalized MRI signal intensity, an increased graft maturity, at all time points. Furthermore by 12 months postoperatively, predicted normalized MRI signal intensity was significantly greater in BPTB grafts compared to HS grafts without differences in HS versus HS-RP grafts (n.s.). These results suggest increasing graft maturation at 12 months in HS and HS-RP grafts compared to BPTB

Article Snippet: Development of an MRI signal intensity prediction model Statistical analyses were performed in JMP 13 (SAS Institute).

Techniques:

Predicted normalized MRI graft signal intensity by graft type and time point: allografts. Allograft source increased predicted normalized MRI signal intensity at 12 months postoperatively (Fig. 2). In contrast to HS and BPTB autografts, there was not a significant difference between HS and BPTB allografts at 12 months; both graft types at this time point were significantly increased above the normalized ratio of 1, indicating a decrease in maturity. Furthermore, between 6 and 12 months BPTB predicted normalized MRI signal intensity significantly increased, suggesting a decrease in graft maturation during this time

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA

Article Title: Anterior cruciate ligament grafts display differential maturation patterns on magnetic resonance imaging following reconstruction: a systematic review

doi: 10.1007/s00167-019-05685-y

Figure Lengend Snippet: Predicted normalized MRI graft signal intensity by graft type and time point: allografts. Allograft source increased predicted normalized MRI signal intensity at 12 months postoperatively (Fig. 2). In contrast to HS and BPTB autografts, there was not a significant difference between HS and BPTB allografts at 12 months; both graft types at this time point were significantly increased above the normalized ratio of 1, indicating a decrease in maturity. Furthermore, between 6 and 12 months BPTB predicted normalized MRI signal intensity significantly increased, suggesting a decrease in graft maturation during this time

Article Snippet: Development of an MRI signal intensity prediction model Statistical analyses were performed in JMP 13 (SAS Institute).

Techniques:

Normalized MRI Signal Intensity Effect Sizes: Changes from baseline 2 and between 6 and 12 Months. The trends in the effects of normalized MRI signal intensity parallel those predicted by the experimental model. In Panel E, the effect for the change between 12 months and baseline is not significant, while the model predicts a significant decrease in normalized MRI signal intensity for HS autografts from the ratio of 1 at 12 months (Fig. 3). The observed difference between the model and effect size calculation in this trend could be due to variability in the normalized MRI signal, accounted for in the effect size calculation, but not the 1-sample T-test used to assess predicted normalized MRI signal intensity change from baseline

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA

Article Title: Anterior cruciate ligament grafts display differential maturation patterns on magnetic resonance imaging following reconstruction: a systematic review

doi: 10.1007/s00167-019-05685-y

Figure Lengend Snippet: Normalized MRI Signal Intensity Effect Sizes: Changes from baseline 2 and between 6 and 12 Months. The trends in the effects of normalized MRI signal intensity parallel those predicted by the experimental model. In Panel E, the effect for the change between 12 months and baseline is not significant, while the model predicts a significant decrease in normalized MRI signal intensity for HS autografts from the ratio of 1 at 12 months (Fig. 3). The observed difference between the model and effect size calculation in this trend could be due to variability in the normalized MRI signal, accounted for in the effect size calculation, but not the 1-sample T-test used to assess predicted normalized MRI signal intensity change from baseline

Article Snippet: Development of an MRI signal intensity prediction model Statistical analyses were performed in JMP 13 (SAS Institute).

Techniques: