Modern Python ecosystem for complex survey design, weighting, estimation, and small area estimation.
R package for "full-stack" survey research with SurveyMonkey.
Rank preserving calibration of multiclass prob.
Leximin Calibration
Online raking with SGD or MWU
R Shiny application for user-friendly survey weighting with raking procedure.
Survey-weighted, temporally validated ML pipeline for under-five mortality risk stratification using Bangladesh DHS child-records data (2014 → 2017–18 → 2022).
Reveal.js slides: simulating a smaller TV audience measurement (TAM) panel — 10 samples of 1,000 individuals, raked to the universe and compared against full-panel spot results
Survey weighting, small-area estimation (Fay-Herriot) and statistical disclosure control: a design-based simulation on ACS PUMS
A statistical analysis of the Annual Population Survey (APS 2021) using R. Includes Chi-square testing, reweighting strategies for bias correction, and multivariate analysis using ggplot2
🌐 Analyze complex surveys with svy, a modern Python toolkit designed for efficient survey design, weighting, and estimation workflows.
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