\[ \newcommand{\bSigma}{\boldsymbol{\Sigma}} \newcommand{\bOmega}{\boldsymbol{\Omega}} \newcommand{\bTheta}{\boldsymbol{\Theta}} \newcommand{\bPi}{\boldsymbol{\Pi}} \newcommand{\bbeta}{\boldsymbol{\beta}} \newcommand{\balpha}{\boldsymbol{\alpha}} \newcommand{\brho}{\boldsymbol{\rho}} \newcommand{\beps}{\boldsymbol{\epsilon}} \newcommand{\blambda}{\boldsymbol{\lambda}} \newcommand{\bgamma}{\boldsymbol{\gamma}} \newcommand{\btheta}{\boldsymbol{\theta}} \newcommand{\bmu}{\boldsymbol{\mu}} \newcommand{\bpi}{\boldsymbol{\pi}} \newcommand{\bphi}{\boldsymbol{\phi}} \newcommand{\bPhi}{\boldsymbol{\Phi}} \newcommand{\boldeta}{\boldsymbol{\eta}} \newcommand{\bx}{\boldsymbol{x}} \newcommand{\bD}{\boldsymbol{D}} \newcommand{\bV}{\boldsymbol{V}} \newcommand{\bv}{\boldsymbol{v}} \newcommand{\bY}{\boldsymbol{Y}} \newcommand{\bA}{\boldsymbol{A}} \newcommand{\bB}{\boldsymbol{B}} \newcommand{\bR}{\boldsymbol{R}} \newcommand{\bM}{\boldsymbol{M}} \newcommand{\bI}{\boldsymbol{I}} \newcommand{\bC}{\boldsymbol{C}} \newcommand{\bW}{\boldsymbol{W}} \newcommand{\bw}{\boldsymbol{w}} \newcommand{\bd}{\boldsymbol{d}} \newcommand{\bT}{\boldsymbol{T}} \newcommand{\bt}{\boldsymbol{t}} \newcommand{\bZ}{\boldsymbol{Z}} \newcommand{\bX}{\boldsymbol{X}} \newcommand{\bz}{\boldsymbol{z}} \newcommand{\by}{\boldsymbol{y}} \newcommand{\br}{\boldsymbol{r}} \newcommand{\bp}{\boldsymbol{p}} \newcommand{\bb}{\boldsymbol{b}} \newcommand{\bZero}{\boldsymbol{0}} \newcommand{\bOne}{\boldsymbol{1}} \]

  1. 3  Inverse-Probability-Weighting.html
Modern inference methods for non-probability samples with R
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  • Welcome!
  • 1  Introduction
  • 2  Inverse probability weighting
  • 3  Inverse-Probability-Weighting.html
  • 4  Mass imputation
  • 5  Doubly robust methods
  • 6  Techniques of variables selection for high-dimensional data
  • 7  Summary
  • 8  References
  • Appendices
    • A  Appendix A: Additional Material
    • B  Appendix B: Nomenclature

\[ \newcommand{\bSigma}{\boldsymbol{\Sigma}} \newcommand{\bOmega}{\boldsymbol{\Omega}} \newcommand{\bTheta}{\boldsymbol{\Theta}} \newcommand{\bPi}{\boldsymbol{\Pi}} \newcommand{\bbeta}{\boldsymbol{\beta}} \newcommand{\balpha}{\boldsymbol{\alpha}} \newcommand{\brho}{\boldsymbol{\rho}} \newcommand{\beps}{\boldsymbol{\epsilon}} \newcommand{\blambda}{\boldsymbol{\lambda}} \newcommand{\bgamma}{\boldsymbol{\gamma}} \newcommand{\btheta}{\boldsymbol{\theta}} \newcommand{\bmu}{\boldsymbol{\mu}} \newcommand{\bpi}{\boldsymbol{\pi}} \newcommand{\bphi}{\boldsymbol{\phi}} \newcommand{\bPhi}{\boldsymbol{\Phi}} \newcommand{\boldeta}{\boldsymbol{\eta}} \newcommand{\bx}{\boldsymbol{x}} \newcommand{\bD}{\boldsymbol{D}} \newcommand{\bV}{\boldsymbol{V}} \newcommand{\bv}{\boldsymbol{v}} \newcommand{\bY}{\boldsymbol{Y}} \newcommand{\bA}{\boldsymbol{A}} \newcommand{\bB}{\boldsymbol{B}} \newcommand{\bR}{\boldsymbol{R}} \newcommand{\bM}{\boldsymbol{M}} \newcommand{\bI}{\boldsymbol{I}} \newcommand{\bC}{\boldsymbol{C}} \newcommand{\bW}{\boldsymbol{W}} \newcommand{\bw}{\boldsymbol{w}} \newcommand{\bd}{\boldsymbol{d}} \newcommand{\bT}{\boldsymbol{T}} \newcommand{\bt}{\boldsymbol{t}} \newcommand{\bZ}{\boldsymbol{Z}} \newcommand{\bX}{\boldsymbol{X}} \newcommand{\bz}{\boldsymbol{z}} \newcommand{\by}{\boldsymbol{y}} \newcommand{\br}{\boldsymbol{r}} \newcommand{\bp}{\boldsymbol{p}} \newcommand{\bb}{\boldsymbol{b}} \newcommand{\bZero}{\boldsymbol{0}} \newcommand{\bOne}{\boldsymbol{1}} \]

2  Inverse probability weighting
4  Mass imputation

Modern inference methods for non-probability samples with R

 
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