Explains that svyglm uses robust standard errors, detailing the statistical theory and variance estimation for survey data.
A guide to comparing survey sample demographics with national population data using R, covering both classical and Bayesian statistical methods.
Explores experimental cross-validation methods for complex survey data using replicate-weight decompositions to respect sampling structure.
Explains why Rao-Scott statistical tests maintain good size control in survey data analysis, compared to standard chi-squared tests.
Explores the challenges of applying signed rank tests to complex survey data and proposes a design-independent rank transformation method.
Explores methods for statistical inference by combining survey data with other datasets, using examples from public health and rank tests.
Analyzing statistical tests for independence in survey contingency tables with zero cells, comparing methods like Rao-Scott and Wald tests in R.
Comparison of statistical tests (Wald, score, likelihood ratio, Rao-Scott) for generalized linear models in survey data, analyzing Type I error and power.
A technical guide on handling 'plausible values' in survey data analysis using R, including code for the survey package.
A tutorial on implementing Zero-Inflated Poisson models for complex survey data in R using the survey package.
