daly_data

A dataset containing simulated data for calculating Disability-Adjusted Life Years (DALY) in epidemiological studies.

datasets

Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.

Esther Atsabina Wanjala

EpidigiR

Digital Epidemiological Analysis and Visualization Tools

daly_data function

A data frame with 20 rows and 3 columns:<dl>
 <dt>group</dt>
<dd>Character, population group (e.g., region or age group).</dd> <dt>yll</dt>
<dd>Numeric, years of life lost due to premature mortality.</dd> <dt>yld</dt>
<dd>Numeric, years lived with disability.</dd>
</dl>

Format

DALY Data for Global Health Burden — daly_data

A data frame with 20 rows and 3 columns:<dl>
 <dt>group</dt>
<dd>Character, population group (e.g., region or age group).</dd>

 <dt>yll</dt>
<dd>Numeric, years of life lost due to premature mortality.</dd>

 <dt>yld</dt>
<dd>Numeric, years lived with disability.</dd>


</dl>

daly_data: DALY Data for Global Health Burden

Description

Usage

Arguments

Format

Examples