Risk ratios and risk differences are estimated using regression 
  models that allow for binary, categorical, and continuous exposures and 
  confounders. Implemented are marginal standardization after fitting logistic 
  models (g-computation) with delta-method and bootstrap standard errors, 
  Miettinen's case-duplication approach (Schouten et al. 1993, 
  <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical 
  variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting 
  values from Poisson models (Spiegelman and Hertzmark 2005, 
  <doi:10.1093/aje/kwi188>), and others.

Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.

A tool to calculate Cardiovascular Risk Scores in large data frames as published in Perez-Vicencio, et al (2024) <doi:10.1136/openhrt-2024-002755>. Cardiovascular risk scores are statistical tools used to assess an individual's likelihood of developing a cardiovascular disease based on various risk factors, such as age, gender, blood pressure, cholesterol levels, and smoking. Here we bring together the six most commonly used in the emergency department. Using 'RiskScorescvd', you can calculate all the risk scores in an extended dataset in seconds. PCE (ASCVD) described in Goff, et al (2013) <doi:10.1161/01.cir.0000437741.48606.98>. EDACS described in Mark DG, et al (2016) <doi:10.1016/j.jacc.2017.11.064>. GRACE described in Fox KA, et al (2006) <doi:10.1136/bmj.38985.646481.55>. HEART is described in Mahler SA, et al (2017) <doi:10.1016/j.clinbiochem.2017.01.003>. SCORE2/OP described in SCORE2 working group and ESC Cardiovascular risk collaboration (2021) <doi:10.1093/eurheartj/ehab309>. TIMI described in Antman EM, et al (2000) <doi:10.1001/jama.284.7.835>. SCORE2-Diabetes described in SCORE2-Diabetes working group and ESC Cardiovascular risk collaboration (2023) <doi:10.1093/eurheartj/ehab260>. SCORE2/OP with CKD add-on described in Kunihiro M et al (2022) <doi:10.1093/eurjpc/zwac176>.