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Logistic Regression in Rare Events Data
more observations and better variables, enabling scholars to focus data collection efforts where they matter most. As an example, we use all dyads (pairs of countries) for each year since World War II to generate a data set below with 303,814 observations, of which only 0.34%, or 1042 dyads, were at war.
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Reference sheet for natbib usage
gking.harvard.eduReference sheet for natbib usage (Describing version 8.1 from 2007/10/30) For a more detailed description of the natbib package, LATEX the source le natbib.dtx. Overview The natbib package is a reimplementation of the LATEX \cite command, to work with both author{year and numerical citations.
Natural Sciences Citations and References (Author{Year and ...
gking.harvard.eduNATURAL SCIENCES CITATIONS AND REFERENCES 5 These .bst les are not meant to be exhaustive by any means. Other style les conforming to the natbib format exist, or may be generated with my custom-bib (also known as makebst) program. 2.2 The Syntax of the thebibliography The information on the cited author names and year are given as part of
The Parable of Google Flu: Traps in Big Data Analysis
gking.harvard.eduMar 14, 2014 · for, rather than a supplement to, traditional data collection and analysis. Elsewhere, we have asserted that there are enormous scien-fi c possibilities in big data ( 9– 11). How-ever, quantity of data does not mean that one can ignore foundational issues of mea-surement and construct validity and reli-ability and dependencies among data (12).
Advanced Quantitative Research Methodology, Lecture …
gking.harvard.eduThe Problem: Discovery from Unstructured Text Examples: scholarly literature, news stories, medical information, blog posts, comments, product reviews, emails, social ...
Why Propensity Scores Should Not Be Used for Matching
gking.harvard.eduWhy Propensity Scores Should Not Be Used for Matching Gary Kingy Richard Nielsenz November 10, 2018 Abstract We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its in-tended goal — thus increasing imbalance, inefficiency, model dependence ...
How Censorship in China Allows Government Criticism but ...
gking.harvard.eduernment’s program to selectively censor the expressed views of the Chinese people is un-precedented in recorded world history. Unlike in the U.S., where social media is centralized through a few providers, in China it is fractured across hundreds of local sites. Much of the responsibility for censor-ship is devolved to these Internet content ...
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Strategies for Teaching Science Content Reading
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THE EDUCATIONAL IMPACT OF ONLINE LEARNING
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