multiple fractional polynomial regression Search Results


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
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multiple fractional polynomials (mfp) package - by Bioz Stars, 2026-04
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multiple fractional polynomial regression  (Membrane Filtration Products)
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Membrane Filtration Products multiple fractional polynomial regression
Effect of antenatal iron supplementation on neonatal birth weight in Kenya, by iron status at baseline. Iron status is indicated by body iron index, i.e. the natural logarithm of the ratio of plasma concentrations of ferritin (μg/L) and soluble transferrin receptor (mg/L), both adjusted for inflammation and Plasmodium infection (see text). Effects were adjusted for HIV infection and parity; other covariates were eliminated in the multiple <t>fractional</t> polynomial regression ( mfpi) procedure. Based on analysis of 391 Kenyan women. Left panel : Associations between birth weight and body iron index for women who received supplementation with iron (blue line) or placebo (red line). The difference between these lines is the treatment effect (i.e. the difference in mean birth weight between the iron group and the placebo group, with the placebo group used as the reference) conditional to body iron index. The cumulative relative frequency distribution of the body iron index is indicated by the grey line (and right Y -axis); 95% of women had values in the range between − 0.55 and 2.82. Right panels : treatment effect as a function of body iron index, with corresponding 95% confidence bands and p value for interaction. The horizontal solid line indicates zero effect, whilst the horizontal dashed line indicates the intervention effect as measured in a regression model without covariates other than the intervention (140 g)
Multiple Fractional Polynomial Regression, 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/multiple fractional polynomial regression/product/Membrane Filtration Products
Average 90 stars, based on 1 article reviews
multiple fractional polynomial regression - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


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

Effect of antenatal iron supplementation on neonatal birth weight in Kenya, by iron status at baseline. Iron status is indicated by body iron index, i.e. the natural logarithm of the ratio of plasma concentrations of ferritin (μg/L) and soluble transferrin receptor (mg/L), both adjusted for inflammation and Plasmodium infection (see text). Effects were adjusted for HIV infection and parity; other covariates were eliminated in the multiple fractional polynomial regression ( mfpi) procedure. Based on analysis of 391 Kenyan women. Left panel : Associations between birth weight and body iron index for women who received supplementation with iron (blue line) or placebo (red line). The difference between these lines is the treatment effect (i.e. the difference in mean birth weight between the iron group and the placebo group, with the placebo group used as the reference) conditional to body iron index. The cumulative relative frequency distribution of the body iron index is indicated by the grey line (and right Y -axis); 95% of women had values in the range between − 0.55 and 2.82. Right panels : treatment effect as a function of body iron index, with corresponding 95% confidence bands and p value for interaction. The horizontal solid line indicates zero effect, whilst the horizontal dashed line indicates the intervention effect as measured in a regression model without covariates other than the intervention (140 g)

Journal: BMC Medicine

Article Title: Antenatal iron supplementation and birth weight in conditions of high exposure to infectious diseases

doi: 10.1186/s12916-019-1375-9

Figure Lengend Snippet: Effect of antenatal iron supplementation on neonatal birth weight in Kenya, by iron status at baseline. Iron status is indicated by body iron index, i.e. the natural logarithm of the ratio of plasma concentrations of ferritin (μg/L) and soluble transferrin receptor (mg/L), both adjusted for inflammation and Plasmodium infection (see text). Effects were adjusted for HIV infection and parity; other covariates were eliminated in the multiple fractional polynomial regression ( mfpi) procedure. Based on analysis of 391 Kenyan women. Left panel : Associations between birth weight and body iron index for women who received supplementation with iron (blue line) or placebo (red line). The difference between these lines is the treatment effect (i.e. the difference in mean birth weight between the iron group and the placebo group, with the placebo group used as the reference) conditional to body iron index. The cumulative relative frequency distribution of the body iron index is indicated by the grey line (and right Y -axis); 95% of women had values in the range between − 0.55 and 2.82. Right panels : treatment effect as a function of body iron index, with corresponding 95% confidence bands and p value for interaction. The horizontal solid line indicates zero effect, whilst the horizontal dashed line indicates the intervention effect as measured in a regression model without covariates other than the intervention (140 g)

Article Snippet: Effects were adjusted for HIV infection and parity; other covariates were eliminated in the multiple fractional polynomial regression ( mfpi) procedure.

Techniques: Clinical Proteomics, Infection