Restricted cubic spline model analysis of the association between anal fistula and anorectal abscess incidence and body mass indexdoi:10.3389/fsurg.2023.1329557Sangyu YeZichen HuangLihua ZhengYuying ShiCongcong ZhiNingyuan LiuYicheng ChengFrontiers in Surgery...
(16) str; str = 'Hello World!'; put str; end; enddata; run; quit; CALCULATING RESTRICTED CUBIC SPLINES USING A SAS MACRO A number of people have written SAS® macros that calculate the variables needed to perform a restricted cubic spline analysis, or that perform the analysis for a ...
spline.ado Dupont WD, Plummer WD: rc_spline from SSC-IDEAS http://fmwww.bc.edu/RePEc/bocode/r General Reference Harrell FE: Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York: Springer, 2001. 16 Cubic B-Splines de Boor, ...
Evidence-based medication adherence among seniors in the first year after heart failure hospitalisation and subsequent long-term outcomes: a restricted cubic spline analysis of adherence-outcome relationships Xiwen Qin Joseph Hung Frank M. Sanfilippo European Journal of Clinical Pharmacology (2023)Downloa...
Restricted cubic splines are just a transformation of an independent variable.Thus, they can be used not only in ordinary least squares regression, but also in logistic regression,survival analysis, and so on. The range of values of the independent variable is split up, with "knots"defining ...
A spline is a drafting tool for drawing curves. In statistics, splines are a broad class of methods for transforming variables. I first introduce the concept via linear splines and work my way to restricted cubic splines which is what I (and many others) recommend. You should be aware that...
We incorporate a cubic spline function where the tails are linearly constrained, as the baseline hazard, into the proportional hazards model. We show estimation of covariable coefficients and survival probabilities with this model to be as efficient statistically as with the Cox proportional hazards mo...
%Fits the so called restricted cubic spline via least squares (see Harrell %(2001)). The obtained spline is linear beyond the first and the last %knot. The truncated power basis representation is used. That is, the %fitted spline is of the form: ...
The relationship of age and the cancer-specific mortality of CC was fit by univariate Cox regression with restricted cubic spline (RCS) analyses (knot = 5)19. The cut-off values were set for age stratification in CC patients based on the inflection points in RCS. OS and CSS of ...
I am using restricted cubic splines with logistic regression. I can’t seem to find much documentation on the output so I am not sure how to interpret! I am using 5 knots (percentile list). proc logistic data=EVENTS0;effect spl = spline(PRALBUM / details naturalcubic basis=tpf(noint)...