From cb8e991b314a315b5bf6b9e89540700145f6cbb9 Mon Sep 17 00:00:00 2001 From: Malcolm Barrett <malcolmbarrett@gmail.com> Date: Tue, 1 Dec 2020 15:34:58 -0800 Subject: [PATCH] re-render slides --- slides/00-intro.html | 2 +- slides/00-intro.pdf | Bin 1961508 -> 1961379 bytes slides/01-causal_modeling_whole_game.html | 2 +- slides/01-causal_modeling_whole_game.pdf | Bin 330711 -> 330586 bytes .../figure-html/unnamed-chunk-6-1.png | Bin 348079 -> 227839 bytes slides/02-dags.html | 8 +- slides/02-dags.pdf | Bin 1070231 -> 1070098 bytes .../figure-html/unnamed-chunk-19-1.png | Bin 315027 -> 180818 bytes slides/03-pscores.html | 12 +- slides/03-pscores.pdf | Bin 1066374 -> 1066245 bytes slides/04-using-pscores.html | 298 +++++++++--------- slides/04-using-pscores.pdf | Bin 797126 -> 796954 bytes .../figure-html/unnamed-chunk-14-1.png | Bin 81021 -> 80953 bytes .../figure-html/unnamed-chunk-15-1.png | Bin 87558 -> 87490 bytes .../figure-html/unnamed-chunk-16-1.png | Bin 81597 -> 81529 bytes 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a/slides/01-causal_modeling_whole_game.html +++ b/slides/01-causal_modeling_whole_game.html @@ -12,7 +12,7 @@ class: center, middle, inverse, title-slide # Causal Modeling in R: Whole Game -### 2020-07-29 (updated: 2020-11-18) +### 2020-07-29 (updated: 2020-12-01) --- diff --git a/slides/01-causal_modeling_whole_game.pdf b/slides/01-causal_modeling_whole_game.pdf index 7373b9b66e30367996b80d0f29e3bc401c784f0c..251c9ea84118ac7887a3bfd4ee35d814573e733c 100644 GIT binary patch delta 7926 zcmZWu2RN2*`_7K+5h^1)#JdOCJ0z77N!gpsj65<TWn>ewva)4oWQ0ie9?8y%NO<vo z`u)G(_toP$-uHNq<2<hWKCf|J*ZmytJrv748p9lJcmV-N!_hDi7)%iST%Z!yv^P<_ z?`+B~q$q)aAz<*|pMOkV1l<MDIIOfZx0AD@>3v(Ohl#a1W5Hvx)Q@&<bvmW$sinui zNMTM`nXBUOrn7KkrP5#gd6ar4Onj!&@@I~#5kg|oHFWlb%Gp96@A|;CxTj4OvC~5h zHnMp0Q_rb-#3}QNW#wlZnyH$fHZ9M5-!}NQ#94f%C=LD1V^5z?OD=U1Fyxfq-`Kk} zeyRC8!83dE$v5w7Mj=OU<4Ud}y?*Y?^q*v|CB1jK<<*Of!5ZwEwILPRkHv7jfJ&|t z;9B2gSy>f(6_=Qt7@<u^<@;E(amn=8mpKlZCw*aZ^x1r+-yZI9o(pmd;tx&XvACRB 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But we still need to declare our causal question. Specify "coffee" as the exposure and "cancer" as the outcome (both in quotations marks). ### Plot the DAG using `ggdag()` -<div class="countdown" id="timer_5fb59e40" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6bd20" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">05</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> @@ -225,7 +225,7 @@ ### Call `tidy_dagitty()` on `coffee_cancer_dag` to create a tidy DAG, then pass the results to `dag_paths()`. What's different about these data? ### Plot the open paths with `ggdag_paths()`. (Just give it `coffee_cancer_dag` rather than using `dag_paths()`; the quick plot function will do that for you.) Remember, since we assume there is *no* causal path from coffee to lung cancer, any open paths must be confounding pathways. -<div class="countdown" id="timer_5fb59e7d" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6be3a" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">05</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> @@ -312,7 +312,7 @@ #### Use `ggdag_adjustment_set()` to visualize the adjustment sets. Add the arguments `use_labels = "label"` and `text = FALSE`. #### Write an R formula for each adjustment set, as you might if you were fitting a model in `lm()` or `glm()` -<div class="countdown" id="timer_5fb59da2" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6be60" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">05</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> diff --git a/slides/02-dags.pdf b/slides/02-dags.pdf index 7e36cbd65316fc1459fec8121e954e7f24eefa62..02eb7606a15f4c9f61c6fc9944862204cb090f0a 100644 GIT binary patch delta 8227 zcmZu#2RxPS`;Q_ioMgQSg{*SsbB0hMQKYg%L{^ef_IOA}Au>A1$R?Dcvc1VHqsT~9 zHf2O+iT|y)xA%9R^XJ?jKHqcS&-WVN>$>i9sJTa?a*jlrO5v~&4ug@wU?jjxiWRNt za6#q#RZ9^`6*(LRhrw>Ver>rOVhZDkii#pvt~y(uw`X-vtkf~F>pQ%|d+A}%m{M$P zv5ajhmnSu1j7J$he0K}06yfLkse+}h58uSaw4P9|bYa@_tuQF+2<w}f2uua*ndMo+ 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a/slides/03-pscores.html +++ b/slides/03-pscores.html @@ -4,10 +4,10 @@ <title>Propensity Scores</title> <meta charset="utf-8" /> <meta name="author" content="Lucy D’Agostino McGowan" /> - <script src="libs/header-attrs-2.5/header-attrs.js"></script> - <link href="libs/remark-css-0.0.1/default.css" rel="stylesheet" /> - <link href="libs/countdown-0.3.5/countdown.css" rel="stylesheet" /> - <script src="libs/countdown-0.3.5/countdown.js"></script> + <script src="libs/header-attrs/header-attrs.js"></script> + <link href="libs/remark-css/default.css" rel="stylesheet" /> + <link href="libs/countdown/countdown.css" rel="stylesheet" /> + <script src="libs/countdown/countdown.js"></script> <link rel="stylesheet" href="theme.css" type="text/css" /> </head> <body> @@ -17,7 +17,7 @@ # Propensity Scores ### Lucy D’Agostino McGowan ### Wake Forest University -### 2020-07-29 (updated: 2020-11-18) +### 2020-07-29 (updated: 2020-12-01) --- @@ -168,7 +168,7 @@ ## Your turn -<div class="countdown" id="timer_5fb59d1d" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6bbc4" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">07</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> diff --git a/slides/03-pscores.pdf b/slides/03-pscores.pdf index 5df436c6dbca1467b92f4696c14751ff50eeaab9..12715327a9fc008bd607bf3b14a8430bb6a1074d 100644 GIT binary patch delta 8028 zcmZWu2RPO38&1At?~%wV*_=JfDzZhCl*r6XvS&ZC_g)z(TJ{LpTQ-rEnU0a2$kzYo zTmSEz<MLiy_w|hTxu5sBpW_k`dc{BFO4NNJ7!(PEAVnY$0q|RhQbPTasl1V+8IPd+ zB^U$-fgXSVX%ZcDA3(ySrFk42?ahoHQo5$r=!}IhL+QQN3ff8xQMcmte8^XqXYa7D zlYZ8x*ReYU*0Tn_XL&r}^m=?YK;0_aelaz6u~hUD5Z3f_h_+M7rnXv5M&Lmyv&qdS zalM9*96d2Mb`dm8=Bk_{)lX8S>!31Gyk<@D7Vo~?o)`W~4g+R)H!T*q3wj5-Gn3}; zYq#qp(iDXx>}f3NblpTt&+O8j5mRO~Nxs@x9wp(bfz~K0kj;Bp87@i^9V3|^?c$MY z%T=vx6QPk|I^-MX5^&>i2UbH`S+za4<F#QLtW@$*BjP^I$sb0vcJG&CvNydyQ<wD! 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z;s2i2e`W;83sG+$+99z=y9C707$OD_G3<Z33HW>Hz%ei+F$-`E{McClF(L_u!!SrV z=IH4MgJ2M-W65B^-X_`{0>EI78G^GBL(BpKgToQu5P`uHmE@3U*l}IJ5)U?T${t=| zGKc*COFt;gL}GDhg*}!v5`iKTDbNmsMiH}s#2i;but=Eyuy7b3bjIR{rV}VC;7KAr zTwuE&O9lnj?x?~Y3KCc-BC5e@06W?dhjsuCMclI}B${ZJgN7&=l9+xJ3QU_g2-xq( zl0hShRS$+j|F4|j{{N*Pg+ZZ+TL+wM$EG6q<a4Y{C{RI;v4sOQoj5@}>_|6(@xk5U z5%^=f!-G!($DEI!1vCtXCALF@&2${Y9AgFzhXX`H0|zHB21i^HG#qzK9ns+P8ZldF zB>q_4(HI1Rm<2T0bblYh|2+SJT0u0iz+}LIOzez-fh|wO4CYX9k6|b*@kTI*(s0BM jq#px56drR1?{_RPIP@{`l}e1NRNzw(^_eruS}OksYU5Mv diff --git a/slides/04-using-pscores.html b/slides/04-using-pscores.html index ee3d087..4bf1b34 100644 --- a/slides/04-using-pscores.html +++ b/slides/04-using-pscores.html @@ -4,10 +4,10 @@ <title>Using Propensity Scores</title> <meta charset="utf-8" /> <meta name="author" content="Lucy D’Agostino McGowan" /> - <script src="libs/header-attrs-2.5/header-attrs.js"></script> - <link href="libs/remark-css-0.0.1/default.css" rel="stylesheet" /> - <link href="libs/countdown-0.3.5/countdown.css" rel="stylesheet" /> - <script src="libs/countdown-0.3.5/countdown.js"></script> + <script src="libs/header-attrs/header-attrs.js"></script> + <link href="libs/remark-css/default.css" rel="stylesheet" /> + <link href="libs/countdown/countdown.css" rel="stylesheet" /> + <script src="libs/countdown/countdown.js"></script> <link rel="stylesheet" href="theme.css" type="text/css" /> </head> <body> @@ -17,7 +17,7 @@ # Using Propensity Scores ### Lucy D’Agostino McGowan ### Wake Forest University -### 2020-12-02 (updated: 2020-11-24) +### 2020-12-02 (updated: 2020-12-01) --- @@ -105,77 +105,77 @@ ``` ## Rows: 806 ## Columns: 71 -## $ i <chr> "11", "1220", "15", "1082", "18", "534", "23", "697… -## $ subclass <fct> 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, … -## $ weights <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, … -## $ seqn <dbl> 428, 23045, 446, 22294, 596, 14088, 618, 18085, 806… -## $ qsmk <dbl> 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, … -## $ death <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, … -## $ yrdth <dbl> NA, NA, 88, NA, NA, NA, NA, NA, NA, NA, 85, NA, 84,… -## $ modth <dbl> NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, 1, NA, 10, 6… -## $ dadth <dbl> NA, NA, 3, NA, NA, NA, NA, NA, NA, NA, 22, NA, 17, … -## $ sbp <dbl> 135, 159, 141, 113, 151, NA, 125, 135, 144, 135, 12… -## $ dbp <dbl> 89, 91, 79, 73, 80, NA, 71, 85, 76, 88, 83, 95, 56,… -## $ sex <fct> 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, … -## $ age <dbl> 43, 49, 71, 36, 48, 51, 56, 40, 47, 70, 57, 62, 72,… -## $ race <fct> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, … -## $ income <dbl> 19, 22, 17, 21, 18, 22, 20, 18, 22, 18, NA, 19, 12,… -## $ marital <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 2, 2, 5, 3, … -## $ school <dbl> 12, 12, 0, 12, 12, 9, 12, 10, 17, 16, 12, 17, 10, 1… -## $ education <fct> 3, 3, 1, 3, 3, 2, 3, 2, 5, 5, 3, 5, 2, 3, 3, 2, 3, … -## $ ht <dbl> 176.5938, 160.2812, 147.0938, 174.5938, 164.0000, 1… -## $ wt71 <dbl> 63.96, 47.29, 75.64, 68.38, 62.03, 71.10, 60.78, 63… -## $ wt82 <dbl> 79.83226, 53.07031, 56.69905, 73.48196, 70.30682, 7… -## $ wt82_71 <dbl> 15.8722571, 5.7803073, -18.9409537, 5.1019639, 8.27… -## $ birthplace <dbl> 42, 30, NA, 19, 36, 47, NA, 42, 42, 39, 18, 1, 25, … -## $ smokeintensity <dbl> 30, 20, 40, 9, 2, 5, 20, 5, 30, 30, 7, 2, 20, 20, 1… -## $ smkintensity82_71 <dbl> -30, 0, -40, 1, -2, 1, -20, 0, -30, -10, -7, -2, -2… -## $ smokeyrs <dbl> 24, 29, 41, 30, 30, 29, 11, 20, 23, 40, 35, 23, 40,… -## $ asthma <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, … -## $ bronch <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, … -## $ tb <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, … -## $ hf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ hbp <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 1, 2, 0, 0, 0, 2, 0, … -## $ pepticulcer <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ colitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ hepatitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ chroniccough <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, … -## $ hayfever <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, … -## $ diabetes <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 2, 0, … -## $ polio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ tumor <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ nervousbreak <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ alcoholpy <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, … -## $ alcoholfreq <dbl> 3, 0, 4, 0, 1, 2, 3, 1, 3, 0, 2, 0, 1, 0, 3, 3, 4, … -## $ alcoholtype <dbl> 3, 3, 4, 1, 2, 3, 4, 1, 2, 3, 3, 3, 3, 1, 4, 3, 4, … -## $ alcoholhowmuch <dbl> 2, 2, NA, 6, 1, 3, NA, 5, 1, 3, 1, 1, 2, 1, NA, 5, … -## $ pica <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 2, 0, … -## $ headache <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, … -## $ otherpain <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, … -## $ weakheart <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ allergies <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ nerves <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ lackpep <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ hbpmed <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 1, 2, 0, 0, 0, 2, 0, … -## $ boweltrouble <dbl> 0, 2, 1, 2, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 2, 0, … -## $ wtloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ infection <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, … -## $ active <fct> 1, 2, 1, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 1, 1, 2, 1, … -## $ exercise <fct> 1, 1, 1, 0, 1, 0, 2, 0, 0, 2, 2, 0, 2, 1, 2, 2, 1, … -## $ birthcontrol <dbl> 2, 0, 0, 2, 0, 2, 0, 0, 2, 0, 2, 2, 0, 0, 0, 1, 0, … -## $ pregnancies <dbl> NA, 4, 15, NA, 3, NA, 4, 2, NA, 5, NA, NA, 4, NA, 5… -## $ cholesterol <dbl> 173, 279, 229, 200, 225, 199, 230, 195, 328, 247, 2… -## $ hightax82 <dbl> 0, 0, NA, 0, 0, 0, NA, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1… -## $ price71 <dbl> 2.346680, 2.104980, NA, 2.199707, 2.241699, 2.18359… -## $ price82 <dbl> 1.797363, 1.698242, NA, 1.847900, 1.828125, 1.73999… -## $ tax71 <dbl> 1.3649902, 1.0498047, NA, 1.1022949, 1.0498047, 1.1… -## $ tax82 <dbl> 0.5718994, 0.4399414, NA, 0.5718994, 0.5059814, 0.4… -## $ price71_82 <dbl> 0.54931641, 0.40686035, NA, 0.35174561, 0.41357422,… -## $ tax71_82 <dbl> 0.7929688, 0.6099854, NA, 0.5303955, 0.5439453, 0.6… -## $ id <int> 11, 1274, 15, 1135, 18, 564, 23, 736, 27, 925, 32, … -## $ censored <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ older <dbl> 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, … -## $ distance <dbl> 0.2384597, 0.2381918, 0.2090935, 0.2091562, 0.40078… +## $ i <chr> "11", "1220", "15", "1082", "18… +## $ subclass <fct> 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6… +## $ weights <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… +## $ seqn <dbl> 428, 23045, 446, 22294, 596, 14… +## $ qsmk <dbl> 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1… +## $ death <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1… +## $ yrdth <dbl> NA, NA, 88, NA, NA, NA, NA, NA,… +## $ modth <dbl> NA, NA, 1, NA, NA, NA, NA, NA, … +## $ dadth <dbl> NA, NA, 3, NA, NA, NA, NA, NA, … +## $ sbp <dbl> 135, 159, 141, 113, 151, NA, 12… +## $ dbp <dbl> 89, 91, 79, 73, 80, NA, 71, 85,… +## $ sex <fct> 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0… +## $ age <dbl> 43, 49, 71, 36, 48, 51, 56, 40,… +## $ race <fct> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0… +## $ income <dbl> 19, 22, 17, 21, 18, 22, 20, 18,… +## $ marital <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2… +## $ school <dbl> 12, 12, 0, 12, 12, 9, 12, 10, 1… +## $ education <fct> 3, 3, 1, 3, 3, 2, 3, 2, 5, 5, 3… +## $ ht <dbl> 176.5938, 160.2812, 147.0938, 1… +## $ wt71 <dbl> 63.96, 47.29, 75.64, 68.38, 62.… +## $ wt82 <dbl> 79.83226, 53.07031, 56.69905, 7… +## $ wt82_71 <dbl> 15.8722571, 5.7803073, -18.9409… +## $ birthplace <dbl> 42, 30, NA, 19, 36, 47, NA, 42,… +## $ smokeintensity <dbl> 30, 20, 40, 9, 2, 5, 20, 5, 30,… +## $ smkintensity82_71 <dbl> -30, 0, -40, 1, -2, 1, -20, 0, … +## $ smokeyrs <dbl> 24, 29, 41, 30, 30, 29, 11, 20,… +## $ asthma <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ bronch <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0… +## $ tb <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0… +## $ hf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ hbp <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 1… +## $ pepticulcer <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ colitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ hepatitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ chroniccough <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0… +## $ hayfever <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ diabetes <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0… +## $ polio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ tumor <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ nervousbreak <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ alcoholpy <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1… +## $ alcoholfreq <dbl> 3, 0, 4, 0, 1, 2, 3, 1, 3, 0, 2… +## $ alcoholtype <dbl> 3, 3, 4, 1, 2, 3, 4, 1, 2, 3, 3… +## $ alcoholhowmuch <dbl> 2, 2, NA, 6, 1, 3, NA, 5, 1, 3,… +## $ pica <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0… +## $ headache <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1… +## $ otherpain <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0… +## $ weakheart <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ allergies <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ nerves <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ lackpep <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ hbpmed <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 1… +## $ boweltrouble <dbl> 0, 2, 1, 2, 0, 0, 0, 0, 0, 2, 0… +## $ wtloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ infection <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ active <fct> 1, 2, 1, 0, 1, 0, 0, 0, 0, 1, 2… +## $ exercise <fct> 1, 1, 1, 0, 1, 0, 2, 0, 0, 2, 2… +## $ birthcontrol <dbl> 2, 0, 0, 2, 0, 2, 0, 0, 2, 0, 2… +## $ pregnancies <dbl> NA, 4, 15, NA, 3, NA, 4, 2, NA,… +## $ cholesterol <dbl> 173, 279, 229, 200, 225, 199, 2… +## $ hightax82 <dbl> 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,… +## $ price71 <dbl> 2.346680, 2.104980, NA, 2.19970… +## $ price82 <dbl> 1.797363, 1.698242, NA, 1.84790… +## $ tax71 <dbl> 1.3649902, 1.0498047, NA, 1.102… +## $ tax82 <dbl> 0.5718994, 0.4399414, NA, 0.571… +## $ price71_82 <dbl> 0.54931641, 0.40686035, NA, 0.3… +## $ tax71_82 <dbl> 0.7929688, 0.6099854, NA, 0.530… +## $ id <int> 11, 1274, 15, 1135, 18, 564, 23… +## $ censored <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ older <dbl> 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1… +## $ distance <dbl> 0.2384597, 0.2381918, 0.2090935… ``` --- @@ -287,77 +287,77 @@ ``` ## Rows: 780 ## Columns: 71 -## $ i <chr> "11", "1220", "15", "1082", "18", "534", "23", "697… -## $ subclass <fct> 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, … -## $ weights <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, … -## $ seqn <dbl> 428, 23045, 446, 22294, 596, 14088, 618, 18085, 806… -## $ qsmk <dbl> 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, … -## $ death <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, … -## $ yrdth <dbl> NA, NA, 88, NA, NA, NA, NA, NA, NA, NA, 84, 90, NA,… -## $ modth <dbl> NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, 10, 6, NA, N… -## $ dadth <dbl> NA, NA, 3, NA, NA, NA, NA, NA, NA, NA, 17, 12, NA, … -## $ sbp <dbl> 135, 159, 141, 113, 151, NA, 125, 135, 144, 135, 12… -## $ dbp <dbl> 89, 91, 79, 73, 80, NA, 71, 85, 76, 88, 56, 75, 88,… -## $ sex <fct> 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, … -## $ age <dbl> 43, 49, 71, 36, 48, 51, 56, 40, 47, 70, 72, 66, 35,… -## $ race <fct> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, … -## $ income <dbl> 19, 22, 17, 21, 18, 22, 20, 18, 22, 18, 12, 16, 20,… -## $ marital <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 2, 2, 5, 3, 2, 2, … -## $ school <dbl> 12, 12, 0, 12, 12, 9, 12, 10, 17, 16, 10, 12, 12, 1… -## $ education <fct> 3, 3, 1, 3, 3, 2, 3, 2, 5, 5, 2, 3, 3, 2, 3, 3, 2, … -## $ ht <dbl> 176.5938, 160.2812, 147.0938, 174.5938, 164.0000, 1… -## $ wt71 <dbl> 63.96, 47.29, 75.64, 68.38, 62.03, 71.10, 60.78, 63… -## $ wt82 <dbl> 79.83226, 53.07031, 56.69905, 73.48196, 70.30682, 7… -## $ wt82_71 <dbl> 15.8722571, 5.7803073, -18.9409537, 5.1019639, 8.27… -## $ birthplace <dbl> 42, 30, NA, 19, 36, 47, NA, 42, 42, 39, 25, 31, 11,… -## $ smokeintensity <dbl> 30, 20, 40, 9, 2, 5, 20, 5, 30, 30, 20, 20, 15, 20,… -## $ smkintensity82_71 <dbl> -30, 0, -40, 1, -2, 1, -20, 0, -30, -10, -20, 20, -… -## $ smokeyrs <dbl> 24, 29, 41, 30, 30, 29, 11, 20, 23, 40, 40, 40, 22,… -## $ asthma <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, … -## $ bronch <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, … -## $ tb <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, … -## $ hf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ hbp <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 1, … -## $ pepticulcer <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ colitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ hepatitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ chroniccough <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, … -## $ hayfever <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ diabetes <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, … -## $ polio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ tumor <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ nervousbreak <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ alcoholpy <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, … -## $ alcoholfreq <dbl> 3, 0, 4, 0, 1, 2, 3, 1, 3, 0, 1, 0, 3, 3, 4, 2, 0, … -## $ alcoholtype <dbl> 3, 3, 4, 1, 2, 3, 4, 1, 2, 3, 3, 1, 4, 3, 4, 3, 3, … -## $ alcoholhowmuch <dbl> 2, 2, NA, 6, 1, 3, NA, 5, 1, 3, 2, 1, NA, 5, NA, 2,… -## $ pica <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, … -## $ headache <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, … -## $ otherpain <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, … -## $ weakheart <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ allergies <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ nerves <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ lackpep <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ hbpmed <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, … -## $ boweltrouble <dbl> 0, 2, 1, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, … -## $ wtloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ infection <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, … -## $ active <fct> 1, 2, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 2, 1, 1, 1, … -## $ exercise <fct> 1, 1, 1, 0, 1, 0, 2, 0, 0, 2, 2, 1, 2, 2, 1, 2, 2, … -## $ birthcontrol <dbl> 2, 0, 0, 2, 0, 2, 0, 0, 2, 0, 0, 0, 0, 1, 0, 0, 2, … -## $ pregnancies <dbl> NA, 4, 15, NA, 3, NA, 4, 2, NA, 5, 4, NA, 5, 6, 1, … -## $ cholesterol <dbl> 173, 279, 229, 200, 225, 199, 230, 195, 328, 247, 2… -## $ hightax82 <dbl> 0, 0, NA, 0, 0, 0, NA, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0… -## $ price71 <dbl> 2.346680, 2.104980, NA, 2.199707, 2.241699, 2.18359… -## $ price82 <dbl> 1.797363, 1.698242, NA, 1.847900, 1.828125, 1.73999… -## $ tax71 <dbl> 1.3649902, 1.0498047, NA, 1.1022949, 1.0498047, 1.1… -## $ tax82 <dbl> 0.5718994, 0.4399414, NA, 0.5718994, 0.5059814, 0.4… -## $ price71_82 <dbl> 0.54931641, 0.40686035, NA, 0.35174561, 0.41357422,… -## $ tax71_82 <dbl> 0.7929688, 0.6099854, NA, 0.5303955, 0.5439453, 0.6… -## $ id <int> 11, 1274, 15, 1135, 18, 564, 23, 736, 27, 925, 35, … -## $ censored <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, … -## $ older <dbl> 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, … -## $ distance <dbl> -1.1611429, -1.1626186, -1.3303980, -1.3300192, -0.… +## $ i <chr> "11", "1220", "15", "1082", "18… +## $ subclass <fct> 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6… +## $ weights <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1… +## $ seqn <dbl> 428, 23045, 446, 22294, 596, 14… +## $ qsmk <dbl> 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1… +## $ death <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1… +## $ yrdth <dbl> NA, NA, 88, NA, NA, NA, NA, NA,… +## $ modth <dbl> NA, NA, 1, NA, NA, NA, NA, NA, … +## $ dadth <dbl> NA, NA, 3, NA, NA, NA, NA, NA, … +## $ sbp <dbl> 135, 159, 141, 113, 151, NA, 12… +## $ dbp <dbl> 89, 91, 79, 73, 80, NA, 71, 85,… +## $ sex <fct> 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1… +## $ age <dbl> 43, 49, 71, 36, 48, 51, 56, 40,… +## $ race <fct> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0… +## $ income <dbl> 19, 22, 17, 21, 18, 22, 20, 18,… +## $ marital <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3… +## $ school <dbl> 12, 12, 0, 12, 12, 9, 12, 10, 1… +## $ education <fct> 3, 3, 1, 3, 3, 2, 3, 2, 5, 5, 2… +## $ ht <dbl> 176.5938, 160.2812, 147.0938, 1… +## $ wt71 <dbl> 63.96, 47.29, 75.64, 68.38, 62.… +## $ wt82 <dbl> 79.83226, 53.07031, 56.69905, 7… +## $ wt82_71 <dbl> 15.8722571, 5.7803073, -18.9409… +## $ birthplace <dbl> 42, 30, NA, 19, 36, 47, NA, 42,… +## $ smokeintensity <dbl> 30, 20, 40, 9, 2, 5, 20, 5, 30,… +## $ smkintensity82_71 <dbl> -30, 0, -40, 1, -2, 1, -20, 0, … +## $ smokeyrs <dbl> 24, 29, 41, 30, 30, 29, 11, 20,… +## $ asthma <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ bronch <dbl> 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0… +## $ tb <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0… +## $ hf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ hbp <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0… +## $ pepticulcer <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ colitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ hepatitis <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ chroniccough <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0… +## $ hayfever <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ diabetes <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0… +## $ polio <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ tumor <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ nervousbreak <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ alcoholpy <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1… +## $ alcoholfreq <dbl> 3, 0, 4, 0, 1, 2, 3, 1, 3, 0, 1… +## $ alcoholtype <dbl> 3, 3, 4, 1, 2, 3, 4, 1, 2, 3, 3… +## $ alcoholhowmuch <dbl> 2, 2, NA, 6, 1, 3, NA, 5, 1, 3,… +## $ pica <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0… +## $ headache <dbl> 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0… +## $ otherpain <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0… +## $ weakheart <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ allergies <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ nerves <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ lackpep <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ hbpmed <dbl> 0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0… +## $ boweltrouble <dbl> 0, 2, 1, 2, 0, 0, 0, 0, 0, 2, 0… +## $ wtloss <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ infection <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ active <fct> 1, 2, 1, 0, 1, 0, 0, 0, 0, 1, 1… +## $ exercise <fct> 1, 1, 1, 0, 1, 0, 2, 0, 0, 2, 2… +## $ birthcontrol <dbl> 2, 0, 0, 2, 0, 2, 0, 0, 2, 0, 0… +## $ pregnancies <dbl> NA, 4, 15, NA, 3, NA, 4, 2, NA,… +## $ cholesterol <dbl> 173, 279, 229, 200, 225, 199, 2… +## $ hightax82 <dbl> 0, 0, NA, 0, 0, 0, NA, 0, 0, 0,… +## $ price71 <dbl> 2.346680, 2.104980, NA, 2.19970… +## $ price82 <dbl> 1.797363, 1.698242, NA, 1.84790… +## $ tax71 <dbl> 1.3649902, 1.0498047, NA, 1.102… +## $ tax82 <dbl> 0.5718994, 0.4399414, NA, 0.571… +## $ price71_82 <dbl> 0.54931641, 0.40686035, NA, 0.3… +## $ tax71_82 <dbl> 0.7929688, 0.6099854, NA, 0.530… +## $ id <int> 11, 1274, 15, 1135, 18, 564, 23… +## $ censored <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0… +## $ older <dbl> 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1… +## $ distance <dbl> -1.1611429, -1.1626186, -1.3303… ``` @@ -367,7 +367,7 @@ ## Your Turn -<div class="countdown" id="timer_5fbd509e" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6bcd1" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">07</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> @@ -478,7 +478,7 @@ ## Your Turn -<div class="countdown" id="timer_5fbd4faa" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6bdc1" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">07</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> diff --git a/slides/04-using-pscores.pdf b/slides/04-using-pscores.pdf index 360fe0b07319139d64f4b754f9b0cfb1e6fb027b..0df5c90111cc29640009dd35d8a0ec1471c1b646 100644 GIT binary patch delta 15191 zcmZvD1z1)8vNqj~fFLa)67CLKx>G5oyQP~&iiCtTh;%3|BGRP@A|2A9sDyMQ@$GZZ z{hxc>emr{t&#>k<Gw;m2GwcODW1y^2P@<^-1Pq5jP=X*3KjtMsc1PXSO3vKVn)8;N zC<Funf&caTpIefim~tYKl9HSrp6=G>&SbvNTlHpR=0Frdxz#%!`9`X*d2b{W<FW%u zo}QjX6f{5AzO@*;<~K9&9Do15voD>3E6*dgM>-|hscjLtDuI?!3AxtS8Y~tV{4F?x 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<meta charset="utf-8" /> <meta name="author" content="Lucy D’Agostino McGowan" /> - <script src="libs/header-attrs-2.5/header-attrs.js"></script> - <link href="libs/remark-css-0.0.1/default.css" rel="stylesheet" /> - <link href="libs/countdown-0.3.5/countdown.css" rel="stylesheet" /> - <script src="libs/countdown-0.3.5/countdown.js"></script> + <script src="libs/header-attrs/header-attrs.js"></script> + <link href="libs/remark-css/default.css" rel="stylesheet" /> + <link href="libs/countdown/countdown.css" rel="stylesheet" /> + <script src="libs/countdown/countdown.js"></script> <link rel="stylesheet" href="theme.css" type="text/css" /> </head> <body> @@ -17,7 +17,7 @@ # Propensity Score Diagnostics ### Lucy D’Agostino McGowan ### Wake Forest University -### 2020-07-29 (updated: 2020-11-18) +### 2020-07-29 (updated: 2020-12-01) --- @@ -312,7 +312,7 @@ ## Your turn 1 -<div class="countdown" id="timer_5fb59d02" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6be8e" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">07</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> @@ -574,7 +574,7 @@ ## Your turn 2 -<div class="countdown" id="timer_5fb59df3" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6be1e" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">07</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> diff --git a/slides/05-pscore-diagnostics.pdf b/slides/05-pscore-diagnostics.pdf index 1f45fd53c583bfd4dd8c0f4f5f66c25779d9fc45..52b057848d695c2be7006c73e8eddb3b7c3a2b96 100644 GIT binary patch delta 8730 zcmZu$1z1#D*G5vhQ5s1x@XX9P69P&jr4oX)h=h^?Qi4ZN0TrbLq(cRj7NjJU4y6%E zMUjwh3E@9}-@W&{p820==3!XRT6^#Hu6MnA&6%2N!Ky03a7!sH2EyWShXFtec}X)I 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zj(b-<xc(p({`~x3Bk><pV^Q$xiEs?Zf@C;2KC*cSu^6)Z0G0t{)q;5t=3k@}m_f*8 zWSkCSL6B?|vGBHm!~zxzV2~BWVqy0GuV4K?=!e%H406c?;mv>y3s^j`2f@Dq4DSm_ zqJd@b;vdbcM|buJc|!2`MayW=u|Wuy0AXfBzJ0(l90A!M9EynKRCrCpAU9K3hDTn9 zAiVDXN&oNl7Zwtc8wLDgfF^rA!r}19*B<aU^&$g=cT2L;;o;q5?+ijH_)UYnk?^`t z)=2pNC+;<dZE^4-ga8ms$K;L);Gc~D?l&IZEwOA!V**^(=x_RTm*_zZmf_49d3A;V E12a18jQ{`u diff --git a/slides/06-outcome-model.html b/slides/06-outcome-model.html index 0fd3b10..0101ead 100644 --- a/slides/06-outcome-model.html +++ b/slides/06-outcome-model.html @@ -4,10 +4,10 @@ <title>Fitting the outcome model</title> <meta charset="utf-8" /> <meta name="author" content="Lucy D’Agostino McGowan" /> - <script src="libs/header-attrs-2.5/header-attrs.js"></script> - <link href="libs/remark-css-0.0.1/default.css" rel="stylesheet" /> - <link href="libs/countdown-0.3.5/countdown.css" rel="stylesheet" /> - <script src="libs/countdown-0.3.5/countdown.js"></script> + <script src="libs/header-attrs/header-attrs.js"></script> + <link href="libs/remark-css/default.css" rel="stylesheet" /> + <link href="libs/countdown/countdown.css" rel="stylesheet" /> + <script src="libs/countdown/countdown.js"></script> <link rel="stylesheet" href="theme.css" type="text/css" /> </head> <body> @@ -17,7 +17,7 @@ # Fitting the outcome model ### Lucy D’Agostino McGowan ### Wake Forest University -### 2020-07-29 (updated: 2020-11-18) +### 2020-07-29 (updated: 2020-12-01) --- @@ -246,7 +246,7 @@ ## Your Turn -<div class="countdown" id="timer_5fb59e33" style="right:0;bottom:0;" data-warnwhen="0"> +<div class="countdown" id="timer_5fc6be85" style="right:0;bottom:0;" data-warnwhen="0"> <code class="countdown-time"><span class="countdown-digits minutes">10</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">00</span></code> </div> diff --git a/slides/06-outcome-model.pdf b/slides/06-outcome-model.pdf index a899548e08109384d26f8e231fe5a57b76170a0b..1a5218f16b17e46c397d73c5b477e6d8d197e7bf 100644 GIT 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<head> <title>Causal Inference in R Slides</title> <meta charset="utf-8" /> - <meta name="date" content="2020-07-28" /> + <meta name="date" content="2020-12-01" /> <script src="libs/header-attrs/header-attrs.js"></script> <link href="libs/remark-css/default.css" rel="stylesheet" /> <link rel="stylesheet" href="theme.css" type="text/css" /> @@ -20,7 +20,7 @@ ###[01-causal_modeling_whole_game](01-causal_modeling_whole_game.html) ###[02-dags](02-dags.html) ###[03-pscores](03-pscores.html) -###[04-using-pscores](04-pscore-weighting.html) +###[04-using-pscores](04-using-pscores.html) ###[05-pscore-diagnostics](05-pscore-diagnostics.html) ###[06-outcome-model](06-outcome-model.html) diff --git a/slides/index.pdf b/slides/index.pdf index c934e8b18ee835277a71f4b0ce21641e7a2f3f88..ce00bce29b8b1cba8e101a0a6ffa56abaf9cf8c2 100644 GIT binary patch delta 373 zcmZqj`R_d;Uen0X)X3Oe+rU5_h%~wMee+XX5=&AQG+eBV42%p6K?tm5W5+%=-qPaC zymZ}y;^h3I)Z)!y>=R{}4J|Dvzfx8gHB>MF0fjsTE-=Hu!qU=svYN{LdSi4Mpn;fT 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