Tag: Regression

April 25, 2024

A Practical Introduction to Regression Discontinuity Designs Extensions

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Free Download A Practical Introduction to Regression Discontinuity Designs: Extensions
English | 2024 | ISBN: 1009462326 | 122 Pages | PDF (True) | 4 MB
In this Element, which continues our discussion in Foundations, the authors provide an accessible and practical guide for the analysis and interpretation of Regression Discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence. The focus is on extensions to the canonical sharp RD setup that we discussed in Foundations. The discussion covers (i) the local randomization framework for RD analysis, (ii) the fuzzy RD design where compliance with treatment is imperfect, (iii) RD designs with discrete scores, and (iv) and multi-dimensional RD designs.

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January 8, 2024

Applied Linear Regression for Longitudinal Data

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Free Download Applied Linear Regression for Longitudinal Data by Frans E.S. Tan, Shahab Jolani
English | December 9, 2022 | ISBN: 0367634317 | 248 pages | MOBI | 6.05 Mb
This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Key features include the following:Provides datasets and examples onlineGives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysisConceptualises the analysis of comparative (experimental and observational) studiesIt is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background.

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January 1, 2024

Local Regression and Likelihood

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Free Download Local Regression and Likelihood by Clive Loader
English | PDF(True) | 1999 | 297 Pages | ISBN : 0387987754 | 3.2 MB
Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.

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