A primer on predictive models

Akbar K Waljee1, Peter D R Higgins2, Amit G Singal3

  • 11] Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA [2] Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan, USA.

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Predicting Products: Substitution vs. Elimination

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Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

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Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
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