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