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Natural Sciences Citations and References (Author{Year and ...
NATURAL SCIENCES CITATIONS AND REFERENCES 3 1 Introduction The natbib package is an extension to LATEX to allow author{year citations along with numerical citations. Standard LATEX permits only numerical, whereas all extensions for …
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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.
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 ...
Logistic Regression in Rare Events Data
gking.harvard.eduFirst, although the statistical properties of linear regression models are invariant to the (unconditional) mean of the dependent variable, the same is not true for binary dependent variable models. The mean of a binary variable is the relative frequency of events in the
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 ...
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).
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The Householder transformation in numerical linear algebra
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