multivariable fractional polynomial interactions models Search Results


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Membrane Filtration Products multivariable fractional polynomial for interaction fp1-flex3 strategy
Multivariable Fractional Polynomial For Interaction Fp1 Flex3 Strategy, supplied by Membrane Filtration Products, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariable fractional polynomial for interaction fp1-flex3 strategy - by Bioz Stars, 2026-03
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Membrane Filtration Products multivariable fractional polynomial interaction (mfpi) algorithm
Renoprotection of TLV therapy in terms of annualized eGFR slope was dependent on the baseline serum Na levels. Shaded area represents 95% confidence intervals. The y ‐axis represents the difference in annualized eGFR slopes between the treatment groups (∆eGFR slope = [annualized eGFR slope in TLV users] − [annualized eGFR slope in never‐users]). The x ‐axis represents baseline serum Na levels. (A) A <t>multivariable</t> <t>fractional</t> polynomial interaction analysis was performed in the propensity score‐matched participants. (B) The analysis was restricted to participants who did not undergo a loop diuretic dose reduction during the follow‐up period.
Multivariable Fractional Polynomial Interaction (Mfpi) Algorithm, supplied by Membrane Filtration Products, 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/multivariable fractional polynomial interaction (mfpi) algorithm/product/Membrane Filtration Products
Average 90 stars, based on 1 article reviews
multivariable fractional polynomial interaction (mfpi) algorithm - by Bioz Stars, 2026-03
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Membrane Filtration Products multivariable fractional polynomial interaction treatment-effect plots
Renoprotection of TLV therapy in terms of annualized eGFR slope was dependent on the baseline serum Na levels. Shaded area represents 95% confidence intervals. The y ‐axis represents the difference in annualized eGFR slopes between the treatment groups (∆eGFR slope = [annualized eGFR slope in TLV users] − [annualized eGFR slope in never‐users]). The x ‐axis represents baseline serum Na levels. (A) A <t>multivariable</t> <t>fractional</t> polynomial interaction analysis was performed in the propensity score‐matched participants. (B) The analysis was restricted to participants who did not undergo a loop diuretic dose reduction during the follow‐up period.
Multivariable Fractional Polynomial Interaction Treatment Effect Plots, supplied by Membrane Filtration Products, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
multivariable fractional polynomial interaction treatment-effect plots - by Bioz Stars, 2026-03
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Membrane Filtration Products cox proportional hazards regression by the method of (multivariable) fractional polynomial interaction
Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of <t>Multivariate</t> <t>Fractional</t> <t>Polynomial</t> Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively
Cox Proportional Hazards Regression By The Method Of (Multivariable) Fractional Polynomial Interaction, supplied by Membrane Filtration Products, 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/cox proportional hazards regression by the method of (multivariable) fractional polynomial interaction/product/Membrane Filtration Products
Average 90 stars, based on 1 article reviews
cox proportional hazards regression by the method of (multivariable) fractional polynomial interaction - by Bioz Stars, 2026-03
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Renoprotection of TLV therapy in terms of annualized eGFR slope was dependent on the baseline serum Na levels. Shaded area represents 95% confidence intervals. The y ‐axis represents the difference in annualized eGFR slopes between the treatment groups (∆eGFR slope = [annualized eGFR slope in TLV users] − [annualized eGFR slope in never‐users]). The x ‐axis represents baseline serum Na levels. (A) A multivariable fractional polynomial interaction analysis was performed in the propensity score‐matched participants. (B) The analysis was restricted to participants who did not undergo a loop diuretic dose reduction during the follow‐up period.

Journal: ESC Heart Failure

Article Title: Renoprotection by long‐term low‐dose tolvaptan in patients with heart failure and hyponatremia

doi: 10.1002/ehf2.13507

Figure Lengend Snippet: Renoprotection of TLV therapy in terms of annualized eGFR slope was dependent on the baseline serum Na levels. Shaded area represents 95% confidence intervals. The y ‐axis represents the difference in annualized eGFR slopes between the treatment groups (∆eGFR slope = [annualized eGFR slope in TLV users] − [annualized eGFR slope in never‐users]). The x ‐axis represents baseline serum Na levels. (A) A multivariable fractional polynomial interaction analysis was performed in the propensity score‐matched participants. (B) The analysis was restricted to participants who did not undergo a loop diuretic dose reduction during the follow‐up period.

Article Snippet: In addition, to confirm the effect modification by the serum Na level also as a continuous variable, the multivariable fractional polynomial interaction (MFPI) algorithm, which is based on a fractional polynomial method and tests for interactions between treatment (binary variable) and continuous covariates, was used.

Techniques:

Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of Multivariate Fractional Polynomial Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively

Journal: BMC Cancer

Article Title: A lack of association between BMI and chemoimmunotherapy efficacy in advanced non-small cell lung cancer: Secondary analysis of the IMpower150 and IMpower130 clinical trials

doi: 10.1186/s12885-024-12132-w

Figure Lengend Snippet: Treatment effect estimates (chemoimmunotherapy versus chemotherapy) with continuous BMI by the method of Multivariate Fractional Polynomial Interaction with Cox proportional-hazard regression models stratified by trial for overall survival ( a ) and progression-free survival ( b ). The shaded area is the 95% CIs of the treatment effect estimated as hazard ratios (HRs) (black solid line). Vertical dotted lines mark the 5 th and 95 th percentile of BMI distribution of the pooled analysis cohort, at 19.8 kg/m 2 and 34.7 kg/m 2 respectively

Article Snippet: Continuous BMI was modelled in stratified (by RCT) Cox proportional hazards regression by the method of (Multivariable) Fractional Polynomial Interaction (MFPI) [ ].

Techniques: