Dose‐response analyses using restricted cubic spline functions in public health research

By L. Desquilbet, François Mariotti. Statistics in Medicine, 2010

1,749 citations recorded by the source corpus.

Subfields: Public Health, Environmental and Occupational Health, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1361460a51ce9ecacec84fb8439caba4f88460c9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Public Health, Environmental and Occupational Health

1. C. Monteiro
2. Barry M. Popkin
3. M. Zinöcker

In Statistics and Probability

1. D. Greenwood

Citations in the corpus

• Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé) (2019, background): “63 Participants contributed person time until the date of CVD diagnosis, date of last completed questionnaire, date of death, or 11 January 2018, whichever occurred first.”
• Assessing the reporting of categorised quantitative variables in observational epidemiological studies (2017, background): “Alternative approaches such as fractional polynomials [39, 40] and splines [41, 42] are available.”