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diff --git a/2014/01/19/kaggle-beginner-tips/index.html b/2014/01/19/kaggle-beginner-tips/index.html
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diff --git a/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/index.html b/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/index.html
diff --git a/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/index.html b/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/index.html
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diff --git a/2021/04/05/some-highlights-from-2020/index.html b/2021/04/05/some-highlights-from-2020/index.html
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diff --git a/causal-inference-resources/index.html b/causal-inference-resources/index.html
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 <!doctype html><html lang=en dir=auto><head><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta name=robots content="index, follow"><title>Causal inference resources | Yanir Seroussi | Data & AI for Nature</title>
 <meta name=keywords content><meta name=description content="This is a list of some causal inference resources, which I update from time to time. You can also check out my posts on causal inference and A/B testing.
 Books:
-Causal Inference: What if by Miguel Hernán and Jamie Robins: The most practical book I&rsquo;ve read. Highly recommended. Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing by Ron Kohavi, Diane Tang, and Ya Xu: Building on the authors&rsquo; decades of industry experience, this is pretty much the bible of online experiments, which is how causal inference is often done in practice."><meta name=author content="Yanir Seroussi"><link rel=canonical href=https://yanirseroussi.com/causal-inference-resources/><meta name=google-site-verification content="aWlue7NGcj4dQpjOKJF7YKiAvw3JuHnq6aFqX6VwWAU"><link crossorigin=anonymous href=/assets/css/stylesheet.9dca25c8fc6e1e8fd23e96856c191948b5f11c56209c6601ef40912e2c12cdd4.css integrity="sha256-ncolyPxuHo/SPpaFbBkZSLXxHFYgnGYB70CRLiwSzdQ=" rel="preload stylesheet" as=style><link rel=icon href=https://yanirseroussi.com/favicon.ico><link rel=icon type=image/png sizes=16x16 href=https://yanirseroussi.com/favicon-16x16.png><link rel=icon type=image/png sizes=32x32 href=https://yanirseroussi.com/favicon-32x32.png><link rel=apple-touch-icon href=https://yanirseroussi.com/apple-touch-icon.png><link rel=mask-icon href=https://yanirseroussi.com/safari-pinned-tab.svg><meta name=theme-color content="#2e2e33"><meta name=msapplication-TileColor content="#2e2e33"><noscript><style>#theme-toggle,.top-link{display:none}</style><style>@media(prefers-color-scheme:dark){:root{--theme:rgb(29, 30, 32);--entry:rgb(46, 46, 51);--primary:rgb(218, 218, 219);--secondary:rgb(155, 156, 157);--tertiary:rgb(65, 66, 68);--content:rgb(196, 196, 197);--code-block-bg:rgb(46, 46, 51);--code-bg:rgb(55, 56, 62);--border:rgb(51, 51, 51)}.list{background:var(--theme)}.list:not(.dark)::-webkit-scrollbar-track{background:0 0}.list:not(.dark)::-webkit-scrollbar-thumb{border-color:var(--theme)}}</style></noscript><meta property="og:title" content="Causal inference resources"><meta property="og:description" content="This is a list of some causal inference resources, which I update from time to time. You can also check out my posts on causal inference and A/B testing.
+Causal Inference: What if by Miguel Hernán and Jamie Robins: The most practical book I&rsquo;ve read. Highly recommended. Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing by Ron Kohavi, Diane Tang, and Ya Xu: Building on the authors&rsquo; decades of industry experience, this is pretty much the bible of online experiments, which is how causal inference is often done in practice."><meta name=author content="Yanir Seroussi"><link rel=canonical href=https://yanirseroussi.com/causal-inference-resources/><meta name=google-site-verification content="aWlue7NGcj4dQpjOKJF7YKiAvw3JuHnq6aFqX6VwWAU"><link crossorigin=anonymous href=/assets/css/stylesheet.0885e10a9ede13fef0e08f08d9741c6d58667d6c610837c5c5a6b39aa2aeb5ee.css integrity="sha256-CIXhCp7eE/7w4I8I2XQcbVhmfWxhCDfFxaazmqKute4=" rel="preload stylesheet" as=style><link rel=icon href=https://yanirseroussi.com/favicon.ico><link rel=icon type=image/png sizes=16x16 href=https://yanirseroussi.com/favicon-16x16.png><link rel=icon type=image/png sizes=32x32 href=https://yanirseroussi.com/favicon-32x32.png><link rel=apple-touch-icon href=https://yanirseroussi.com/apple-touch-icon.png><link rel=mask-icon href=https://yanirseroussi.com/safari-pinned-tab.svg><meta name=theme-color content="#2e2e33"><meta name=msapplication-TileColor content="#2e2e33"><noscript><style>#theme-toggle,.top-link{display:none}</style><style>@media(prefers-color-scheme:dark){:root{--theme:rgb(29, 30, 32);--entry:rgb(46, 46, 51);--primary:rgb(218, 218, 219);--secondary:rgb(155, 156, 157);--tertiary:rgb(65, 66, 68);--content:rgb(196, 196, 197);--code-block-bg:rgb(46, 46, 51);--code-bg:rgb(55, 56, 62);--border:rgb(51, 51, 51)}.list{background:var(--theme)}.list:not(.dark)::-webkit-scrollbar-track{background:0 0}.list:not(.dark)::-webkit-scrollbar-thumb{border-color:var(--theme)}}</style></noscript><meta property="og:title" content="Causal inference resources"><meta property="og:description" content="This is a list of some causal inference resources, which I update from time to time. You can also check out my posts on causal inference and A/B testing.
 Books:
 Causal Inference: What if by Miguel Hernán and Jamie Robins: The most practical book I&rsquo;ve read. Highly recommended. Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing by Ron Kohavi, Diane Tang, and Ya Xu: Building on the authors&rsquo; decades of industry experience, this is pretty much the bible of online experiments, which is how causal inference is often done in practice."><meta property="og:type" content="article"><meta property="og:url" content="https://yanirseroussi.com/causal-inference-resources/"><meta property="article:section" content><meta property="article:modified_time" content="2023-07-06T16:01:57+10:00"><meta name=twitter:card content="summary"><meta name=twitter:title content="Causal inference resources"><meta name=twitter:description content="This is a list of some causal inference resources, which I update from time to time. You can also check out my posts on causal inference and A/B testing.
 Books:

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