Modern Python ecosystem for complex survey design, weighting, estimation, and small area estimation.

Identify at-risk interviews directly from your Survey Solutions export files.

Tidy multilevel regression and poststratification (MRP)

CRAN Task View: Official Statistics & Survey Statistics

Under 5 and neonatal mortality rate estimation from DHS surveys in Kenya

Auditing racial disparities in diabetes diagnostic labels using NHANES 2017-2018. Survey-weighted with Taylor linearization and PSU bootstrap.

Secondary analysis of NHANES 2013–March 2020 on dietary creatine intake and depression risk: dose-response model with restricted cubic splines and a formal interaction test with antidepressant use (R, survey package). Abstract under review at IJMS WCMSR 2026.

Offline-first Progressive Web App for statisticians. Upload a survey codebook, pick from 16 area-level and unit-level SAE methods, and download ready-to-run, commented R and Stata scripts — no advanced statistics knowledge required.

Descriptive analysis of sex differences in score variability across 14 public-use datasets (424K+ observations). Interactive results site included.

Percentis populacionais ponderados de biomarcadores a partir do microdado da Pesquisa Nacional de Saúde (PNS/IBGE)

Coverage simulations for the nonprobsvy R package — inspired by DoubleML/doubleml-coverage

MORIE: multi-domain scientific computing toolkit (Python + R) for observational causal inference, survey methods, and criminal-justice analytics — home of the MRM (Multilevel Reconciliation Methodology) framework. AGPL-3.

🌐 Analyze complex surveys with svy, a modern Python toolkit designed for efficient survey design, weighting, and estimation workflows.