Independent predictors included in the final model for men and women were age, body mass index, smoking status, varicose veins, congestive cardiac failure, chronic renal disease, cancer, chronic obstructive pulmonary disease, inflammatory bowel disease, hospital admission in past six months, and current prescriptions for antipsychotic drugs.
These algorithms were originally performed manually but now are almost universally computerized.
Empirical research is a way of gaining knowledge by means of direct and indirect observation or experience.
Future effort estimates are made by providing size and calculating the associated effort using the equation which fit the original data (usually with some error).
The Constructive Cost Model (COCOMO) is an algorithmic software cost estimation model developed by Barry W. The model uses a basic regression formula with parameters that are derived from historical project data and current project characteristics.
Design Prospective open cohort study using routinely collected data from general practices.
Cox proportional hazards models used in derivation cohort to derive risk equations evaluated at 1 and 5 years.
Empirical evidence (the record of one's direct observations or experiences) can be analyzed quantitatively or qualitatively.
Through quantifying the evidence or making sense of it in qualitative form, a researcher can answer empirical questions, which should be clearly defined and answerable with the evidence collected (usually called data).
SLIM (Software LIfecycle Management) is the name given by Putnam to the proprietary suite of tools his company QSM, Inc. It is one of the earliest of these types of models developed, and is among the most widely used.
Closely related software parametric models are Constructive Cost Model (COCOMO), Parametric Review of Information for Costing and Evaluation – Software (PRICE-S), and Software Evaluation and Estimation of Resources – Software Estimating Model (SEER-SEM).
Results The derivation cohort included 14 756 incident cases of venous thromboembolism from 10 095 199 person years of observation (rate of 14.6 per 10 000 person years).