Developing prediction models for clinical use using logistic regression: an overview

Prediction models help healthcare professionals and patients make clinical decisions. The goal of an accurate prediction model is to provide patient risk stratification to support tailored clinical decision-making with the hope of improving patient outcomes and quality of care. Clinical prediction models use variables selected because they are thought to be associated (either negatively or positively) with the outcome of interest. Building a model requires data that are computer-interpretable and reliably recorded within the time frame of interest for the prediction. Such models are generally defined as either diagnostic, likelihood of disease or disease group classification, or prognostic, likelihood of…

• UD
  U.S. Department of Veterans Affairs
• AF
  Agency for Healthcare Research and Quality

  Awards: T32 HS026122, HS026122