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multiple fractional polynomials (mfp) package  (RStudio)

 
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    RStudio multiple fractional polynomials (mfp) package
    Percentage of patients receiving an antibiotic for each common infection stratified by age and sex (based on <t>fractional</t> polynomials in logistic models). Dashed lines represent 95% CI.
    Multiple Fractional Polynomials (Mfp) Package, supplied by RStudio, 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/multiple fractional polynomials (mfp) package/product/RStudio
    Average 90 stars, based on 1 article reviews
    multiple fractional polynomials (mfp) package - by Bioz Stars, 2026-06
    90/100 stars

    Images

    1) Product Images from "Antibiotic prescribing for common infections in UK general practice: variability and drivers"

    Article Title: Antibiotic prescribing for common infections in UK general practice: variability and drivers

    Journal: Journal of Antimicrobial Chemotherapy

    doi: 10.1093/jac/dkz163

    Percentage of patients receiving an antibiotic for each common infection stratified by age and sex (based on fractional polynomials in logistic models). Dashed lines represent 95% CI.
    Figure Legend Snippet: Percentage of patients receiving an antibiotic for each common infection stratified by age and sex (based on fractional polynomials in logistic models). Dashed lines represent 95% CI.

    Techniques Used: Infection



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    RStudio multiple fractional polynomials (mfp) package
    Percentage of patients receiving an antibiotic for each common infection stratified by age and sex (based on <t>fractional</t> polynomials in logistic models). Dashed lines represent 95% CI.
    Multiple Fractional Polynomials (Mfp) Package, supplied by RStudio, 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/multiple fractional polynomials (mfp) package/product/RStudio
    Average 90 stars, based on 1 article reviews
    multiple fractional polynomials (mfp) package - by Bioz Stars, 2026-06
    90/100 stars
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    Percentage of patients receiving an antibiotic for each common infection stratified by age and sex (based on fractional polynomials in logistic models). Dashed lines represent 95% CI.

    Journal: Journal of Antimicrobial Chemotherapy

    Article Title: Antibiotic prescribing for common infections in UK general practice: variability and drivers

    doi: 10.1093/jac/dkz163

    Figure Lengend Snippet: Percentage of patients receiving an antibiotic for each common infection stratified by age and sex (based on fractional polynomials in logistic models). Dashed lines represent 95% CI.

    Article Snippet: To account for non-linear associations, age was transformed using the multiple fractional polynomials (mfp) package in RStudio (R; version 3.3.3).

    Techniques: Infection