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Conducting Meta-Analyses in<i>R</i>with the<b>metafor</b>Package
Article
Article
Wolfgang Viechtbauer · Journal of Statistical Software · 2010
The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables...
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Statistical Methods for Meta-Analysis
Article
Article
Stanley Wasserman; Larry V. Hedges; Ingram Olkin · Journal of Educational Statistics · 1988
Preface. Introduction. Data Sets. Tests of Statistical Significance of Combined Results. Vote-Counting Methods. Estimation of a Single Effect Size: Parametric and Nonparametric Methods. Parametric Estimation of Effect Si...
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Probability, Random Variables, and Stochastic Processes.
Article
Article
Julia Abrahams; A. Papoulis · Journal of the American Statistical Association · 1984
Part 1 Probability and Random Variables 1 The Meaning of Probability 2 The Axioms of Probability 3 Repeated Trials 4 The Concept of a Random Variable 5 Functions of One Random Variable 6 Two Random Variables 7 Sequences ...
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Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
Article
Article
Jack Bowden; George Davey Smith; Philip Haycock; Stephen Burgess · Genetic Epidemiology · 2016
Developments in genome-wide association studies and the increasing availability of summary genetic association data have made application of Mendelian randomization relatively straightforward. However, obtaining reliable...
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Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
Article
Article
Jack Bowden; George Davey Smith; Stephen Burgess · International Journal of Epidemiology · 2015
BACKGROUND: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain ...
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On Estimation of a Probability Density Function and Mode
Article
Article
Emanuel Parzen · The Annals of Mathematical Statistics · 1962
Given a sequence of independent identically distributed random variables with a common probability density function, the problem of the estimation of a probability density function and of determining the mode of a probab...
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Robust Estimation of a Location Parameter
Article
Article
Peter J. Huber · The Annals of Mathematical Statistics · 1964
This paper contains a new approach toward a theory of robust estimation; it treats in detail the asymptotic theory of estimating a location parameter for contaminated normal distributions, and exhibits estimators--interm...
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Sample Selection Bias as a Specification Error
Article
Article
James J. Heckman · Econometrica · 1979
Sample selection bias as a specification error This paper discusses the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or «omitted vari...
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Multiple Imputation for Nonresponse in Surveys
Book
Book
Donald B. Rubin · Wiley series in probability and statistics · 1987
Tables and Figures. Glossary. 1. Introduction. 1.1 Overview. 1.2 Examples of Surveys with Nonresponse. 1.3 Properly Handling Nonresponse. 1.4 Single Imputation. 1.5 Multiple Imputation. 1.6 Numerical Example Using Multip...
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Fractional Brownian Motions, Fractional Noises and Applications
Article
Article
Benoît B. Mandelbrot; John W. Van Ness · SIAM Review · 1968
Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...
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