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Haoda Fu
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\documentclass[notes=no]{beamer} | ||
%\documentclass[notes=only]{beamer} | ||
%\documentclass[notes]{beamer} | ||
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\usetheme[white, compactlogo]{Lilly} | ||
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% begin definition | ||
\def\conas{\stackrel{a.s.} {\rightarrow}} % conv. a.s. | ||
\def\conP{\stackrel{\cal P} {\rightarrow}} % conv. in probability | ||
\def\conD{\stackrel{\cal D} {\rightsquigarrow}} % conv. in distribution | ||
\DeclareMathOperator*{\argmin}{argmin} | ||
\DeclareMathOperator*{\argmax}{argmax} | ||
\def\iid{\stackrel{ iid} {\sim}} % i.i.d | ||
\def\hat{\widehat} | ||
\def\tilde{\widetilde} | ||
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%general sets | ||
\def\cal{\mathcal} | ||
\def\calA{{\cal A}} %Action sets | ||
\def\calB{{\cal B}} %Bounded set | ||
\def\calC{{\cal C}} %Convex set | ||
\def\calH{{\cal H}} %Hilbert Space | ||
\def\calS{{\cal S}} %A regular set | ||
\def\calNr{{\cal N}_r} %Neighborhood | ||
\def\calX{{\cal X}} %Covariate space | ||
\def\calF{{\cal F}} %Function space | ||
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\def\calD{{\cal D}} %decision rule | ||
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%special sets | ||
\def\bbR{{\mathbb{R}}} %Real number | ||
\def\bbN{{\mathbb{N}}}%Natural number | ||
\def\bbQ{{\mathbb{Q}}} %Rational number | ||
\def\bbZ{{\mathbb{Z}}} %Integer | ||
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%Matrix | ||
\def\bA{{\bf A}} | ||
\def\bB{{\bf B}} | ||
\def\bC{{\bf C}} | ||
\def\bD{{\bf D}} | ||
\def\bH{{\bf H}} | ||
\def\bI{{\bf I}} | ||
\def\bJ{{\bf J}} | ||
\def\bP{{\bf P}} | ||
\def\bT{{\bf T}} | ||
\def\bW{{\bf W}} | ||
\def\bX{{\bf X}} | ||
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%vector | ||
\def\balpha{{\boldsymbol \alpha}} | ||
\def\bbeta{{\boldsymbol \beta}} | ||
\def\btheta{{\boldsymbol \theta}} | ||
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\def\bzero{{\bf 0}} | ||
\def\bone{{\bf 1}} | ||
\def\bbf{{\bf f}} | ||
\def\br{{\bf r}} | ||
\def\by{{\bf y}} | ||
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%notations | ||
\def\sign{{\mathrm{sign}}} | ||
\def\var{{\mathrm{var}}} | ||
\def\cov{{\mathrm{cov}}} | ||
\def\ind{\perp\!\!\!\perp} | ||
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%others | ||
\def\mif{\mathrm{if}\ } | ||
\def\ow{\mathrm{otherwise}\ } | ||
\def\st{\mathrm{subject\ to}\quad } | ||
\def\diag{\mathrm{diag}} | ||
\def\minimize{\mathrm{minimize}\quad } | ||
\def\maximize{\mathrm{maximize}\quad } | ||
\def\dom{{\rm dom}} | ||
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\title{On Missing Data} % Enter your title between curly braces | ||
\author{Drafted by Haoda Fu, Ph.D.} % Enter your name between curly braces | ||
\institute{Statistics for Data Scientists Series} % Enter your institute name between curly braces | ||
\date{\today} | ||
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\begin{document} | ||
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\begin{frame} | ||
\titlepage | ||
\end{frame} | ||
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\begin{frame} | ||
\frametitle{Why} | ||
\begin{variableblock}{Why this topic is important}{bg=LillyGreen25,fg=black}{bg=LillyGreen75,fg=black} | ||
Missing data are common problems for data scientists. | ||
\end{variableblock} | ||
\pause | ||
\begin{variableblock}{Connections}{bg=LillyGreen25,fg=black}{bg=LillyGreen75,fg=black} | ||
\begin{itemize} | ||
\item Missing data and causal inference are closed connected and both are important to our digital health. | ||
\item Different types of missing mechanism: missing completely at random, missing at random, and missing not at random. | ||
\item Different methods to handle missing data. | ||
\end{itemize} | ||
\end{variableblock} | ||
\end{frame} | ||
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\begin{frame} | ||
\frametitle{Notation} | ||
\begin{itemize} | ||
\item $Y=(Y_{ij})$: complete data matrix. | ||
\item $M=(M_{ij})$: missing-data indicator matrix. | ||
\item $\phi$: unknown parameter. | ||
\item $Y_{obs}$ and $Y_{mis}$: the observed and missing components of $Y$. | ||
\item $f(\cdot)$: probability density function. | ||
\end{itemize} | ||
\end{frame} | ||
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\begin{frame} | ||
\frametitle{Missing Completely at Random (MCAR)} | ||
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\begin{definition}[MCAR] | ||
MCAR is defined that the $M$ does not depend on $Y$, | ||
\begin{align*} | ||
f(M | Y, \phi) &= f(M|\phi), \quad \forall Y, \phi. | ||
\end{align*} | ||
\end{definition} | ||
Note: this assumption does not mean that the pattern itself is random, but rather that the missingness does not depend on the data values. | ||
\end{frame} | ||
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\begin{frame} | ||
\frametitle{Missing at Random (MAR)} | ||
\begin{definition}[MAR] | ||
MAR is defined that the $M$ only depends on $Y_{obs}$, | ||
\begin{align*} | ||
f(M | Y, \phi) &= f(M|Y_{obs}, \phi), \quad \forall Y_{obs}, \phi. | ||
\end{align*} | ||
\end{definition} | ||
Note: This assumption is weaker than the MCAR and it is the most widely used assumption for clinical trials. | ||
\end{frame} | ||
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\begin{frame} | ||
\frametitle{Missing Not at Random (MNAR)} | ||
\begin{definition}[MNAR] | ||
The mechanism is called MNAR if the distribution of $M$ depends on the $Y_{miss}$. | ||
\end{definition} | ||
Note: Assumptions are not verifiable. It is often used for robustness evaluation. Methods handle MNAR include pattern mixture models and selection models. | ||
\end{frame} | ||
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\begin{frame} | ||
\frametitle{MAR and Analytics Essentials} | ||
Let $\theta$ be the interest parameter, i.e. $f(Y|\theta) = f(Y_{obs}, Y_{mis}|\theta)$, and $\psi$ be the parameter for missing mechanisms. | ||
\begin{align*} | ||
f(Y,M|\theta, \psi) &= f(Y|\theta) f(M|Y,\psi)\\ | ||
f(Y_{obs},M|\theta, \psi)&= \int f(Y_{obs}, Y_{mis}|\theta) f(M|Y_{obs}, Y_{mis},\psi) d Y_{mis} \\ | ||
&= f(M|Y_{obs}, \psi) \int f(Y_{obs},Y_{mis}|\theta) dY_{mis}\\ | ||
&= f(M|Y_{obs}, \psi) f(Y_{obs}|\theta) | ||
\end{align*} | ||
Note: the third equation coming from MAR assumption. This amazing results reflect the truth that we can simply estimate $\theta$ based on the observed values!! | ||
\end{frame} | ||
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\end{document} |
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\ProvidesPackage{beamercolorthemeWisconsin} | ||
% Adapted from the default crane style | ||
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\mode<presentation> | ||
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% Suggestion from Jeff Ballard to help Beamer correctly draw shaded text. | ||
\beamersetaveragebackground{black} | ||
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\definecolor{EmphColor}{RGB}{170,50,50} | ||
\definecolor{HighlightBackground}{RGB}{213,43,30} | ||
\definecolor{KeywordColor}{RGB}{50,50,150} | ||
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% Color definitions | ||
\definecolor{UWRed}{RGB}{213,43,30} | ||
\definecolor{UWGold}{RGB}{205,153,0} | ||
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\setbeamercolor*{normal text}{fg=white} | ||
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\setbeamercolor*{section text}{fg=white!80!gray} | ||
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\setbeamercolor{item projected}{bg=UWRed} | ||
\setbeamercolor{itemize item}{fg=UWRed} | ||
\setbeamercolor{itemize subitem}{fg=UWGold} | ||
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\setbeamercolor{enumerate item}{fg=UWRed} | ||
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\setbeamercolor{palette primary}{fg=white,bg=black} | ||
\setbeamercolor{palette secondary}{fg=white,bg=UWRed} | ||
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% This green is just so that I can figure out when, if ever, this | ||
% is used. If it is a useful palette, it should be changed to something | ||
% else. Let me know if you figure out what uses these. | ||
\setbeamercolor{palette tertiary}{fg=green,bg=UWGold} | ||
\setbeamercolor{palette quaternary}{fg=white,bg=UWRed} | ||
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\setbeamercolor{titlelike}{parent=palette secondary} | ||
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\setbeamercolor{block title}{parent=palette secondary} | ||
\setbeamercolor{block title alerted}{use=alerted text,fg=green,bg=alerted text.fg} | ||
\setbeamercolor{block title example}{use=example text,fg=green,bg=example text.fg} | ||
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\setbeamercolor{block body}{parent=normal text,use=block title,bg=black} | ||
\setbeamercolor{block body alerted}{parent=normal text,use=block title alerted,bg=black} | ||
\setbeamercolor{block body example}{parent=normal text,use=block title example,bg=black} | ||
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% This ends up applying to most navigation-related things | ||
\setbeamercolor{sidebar}{bg=UWGold} | ||
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\setbeamercolor{palette sidebar primary}{fg=white} | ||
\setbeamercolor{palette sidebar secondary}{fg=UWGold} | ||
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\mode | ||
<all> |
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\ProvidesPackage{beamercolorthemeLillyWhite} | ||
% Adapted from the default crane style | ||
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\mode<presentation> | ||
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\definecolor{HighlightBackground}{RGB}{255,255,0} | ||
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% Color definitions | ||
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\definecolor{LillyRed}{RGB}{213,43,30} | ||
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\definecolor{LillyGreen}{RGB}{0,175,63} | ||
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\definecolor{LillyPurple}{RGB}{177,5,157} | ||
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\definecolor{LillyPurple25}{RGB}{245,204,231} | ||
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\setbeamercolor*{section text}{fg=white!80!gray} | ||
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\setbeamercolor{item projected}{bg=LillyRed} | ||
\setbeamercolor{itemize item}{fg=LillyRed} | ||
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\setbeamercolor{description item}{fg=LillyRed} | ||
\setbeamercolor{enumerate item}{fg=LillyRed} | ||
\setbeamercolor{enumerate subitem}{fg=LillyMediumGray} | ||
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\setbeamercolor{palette secondary}{fg=white,bg=LillyRed} | ||
% This green is just so that I can figure out when, if ever, this | ||
% is used. If it is a useful palette, it should be changed to something | ||
% else. Let me know if you figure out what uses these. | ||
\setbeamercolor{palette tertiary}{fg=green,bg=LillyMediumGray} | ||
\setbeamercolor{palette quaternary}{fg=white,bg=LillyRed} | ||
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\setbeamercolor{titlelike}{parent=palette secondary} | ||
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\setbeamercolor{block title}{parent=palette secondary} | ||
\setbeamercolor{block title alerted}{use=alerted text,fg=green,bg=alerted text.fg} | ||
\setbeamercolor{block title example}{use=example text,fg=green,bg=example text.fg} | ||
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% This ends up applying to most navigation-related things | ||
\setbeamercolor{sidebar}{bg=LillyMediumGray} | ||
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\setbeamercolor{palette sidebar primary}{fg=white} | ||
\setbeamercolor{palette sidebar secondary}{fg=LillyMediumGray} | ||
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\setbeamercolor*{separation line}{bg=LillyMediumGray} | ||
\setbeamercolor*{fine separation line}{bg=LillyMediumGray} | ||
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\mode | ||
<all> |
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% Copyright 2007 by Till Tantau | ||
% | ||
% This file may be distributed and/or modified | ||
% | ||
% 1. under the LaTeX Project Public License and/or | ||
% 2. under the GNU Public License. | ||
% | ||
% See the file doc/licenses/LICENSE for more details. | ||
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\ProvidesPackageRCS $Header: /home/vedranm/bitbucket/beamer/base/themes/outer/beamerouterthemeinfolines.sty,v 445340293dde 2010/07/10 12:51:34 rivanvx $ | ||
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\mode<presentation> | ||
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% \setbeamercolor*{author in head/foot}{parent=palette tertiary} | ||
\setbeamercolor*{title in head/foot}{parent=palette secondary} | ||
\setbeamercolor*{page in head/foot}{parent=palette primary} | ||
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% \setbeamercolor*{section in head/foot}{parent=palette tertiary} | ||
% \setbeamercolor*{subsection in head/foot}{parent=palette primary} | ||
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\defbeamertemplate*{footline}{subtle theme} | ||
{ | ||
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<all> |
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