lillies

lillies estimates excess Life Years Lost (LYL) among individuals diagnosed with specific diseases or conditions, quantifying reductions in life expectancy attributable to those conditions.

Key Features:

• Estimation Methodology: Implements an approach for calculating excess Life Years Lost (LYL) that does not assume a fixed age at disease onset and accounts for varying onset ages.
• Area under survival curves: Computes LYL by calculating the area under survival curves adjusted for presence of specific diseases or conditions.
• Competing Risks Model: Incorporates a competing risks model to decompose total LYL into cause-specific contributions to mortality.
• Confidence Intervals via Non-Parametric Bootstrap: Produces confidence intervals for LYL estimates using non-parametric bootstrap methods.
• Data Flexibility: Supports analyses with individual-level datasets (including electronic healthcare and mortality records) and aggregated-level data.

Scientific Applications:

• Public Health Research: Quantifies excess LYL due to specific diseases to identify high-burden conditions for targeted interventions.
• Epidemiological Studies: Enables decomposition of mortality causes and estimation of life expectancy reductions for studies of risk factors and disease impact.
• Health Policy Development: Provides quantitative estimates of disease-attributable LYL to inform prioritization of healthcare resources and policy decisions.

Methodology:

Calculates area under survival curves adjusted for disease status, uses a competing risks model to attribute LYL to causes of death, computes confidence intervals via non-parametric bootstrap, and permits analysis with individual-level and aggregated data while accounting for varying ages at disease onset.