Confidence intervals for regression parameters
Estimated weights for missing data
Compute replicate weights
Sample of obstetric hospitals
Calibration (GREG) estimators
Lay out tables of survey statistics
Compress replicate weight matrix
Calibration metrics
Survival in cardiac arrest
Wald test for a term in a regression model
Household crowding
Small survey example
Open and close DBI connections
Dimensions of survey designs
Confidence intervals for proportions
Experimental: Construct non-response weights
Raking of replicate weight design
Cholesterol data from a US survey
Contingency tables for survey data
Survey-weighted generalised linear models.
Pseudo-Rsquareds
Hadamard matrices
Paley-type Hadamard matrices
Two-stage sample from MU284
Linear and nonlinearconstrasts of survey statistics
Standardised predictions (predictive margins) for regression models.
Conditioning plots of survey data
Options for the survey package
Maximum pseudolikelihood estimation in complex surveys
Quantiles for sample surveys
Analyse plausible values in surveys
Design-based rank tests
Analyse multiple imputations
Compare survival distributions
Histograms and boxplots
Direct standardization within domains
Scatterplot smoothing and density estimation
Fit accelerated failure models to survey data
Summary statistics for sample surveys
Design-based t-test
Survey statistics on subsets
US 2004 presidential election data at state or county level
Estimate survival function.
Cumulative Distribution Function
Loglinear models
Ratio estimation
Subset of survey
Take a stratified sample
Survey-weighted Cox models.
Distribution of quadratic forms
Variance estimation for multistage surveys
One variable from the Youth Risk Behaviors Survey, 2015.
Compute variances by replicate weighting
Cronbach's alpha
Compute variance from replicates
Factor analysis in complex surveys (experimental).
Proportional odds and related models
Trim sampling weights
Specify survey design with replicate weights
Computations for survey variances
Sandwich variance estimator for glms
Post-stratify a survey
Survey sample analysis.
Plots for survey data
Two-phase designs
Two-stage least-squares for instrumental variable regression
Add variables to a survey design
Predictive marginal means
Survey design weights
Cohen's kappa for agreement
Sampling-weighted principal component analysis
Extract standard errors
Package sample and population size data
Wrappers for specifying PPS designs
Model comparison for glms.
Student performance in California schools
Compute survey bootstrap weights
Barplots and Dotplots
Update to the new survey design format
Convert a survey design to use replicate weights