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multivariable fractional polynomial models using the 'mfp' command  (STATA Corporation)


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    STATA Corporation multivariable fractional polynomial models using the 'mfp' command
    Multivariable Fractional Polynomial Models Using The 'Mfp' Command, supplied by STATA Corporation, 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 models using the 'mfp' command/product/STATA Corporation
    Average 90 stars, based on 1 article reviews
    multivariable fractional polynomial models using the 'mfp' command - by Bioz Stars, 2026-05
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    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: