Hypothesis tests for population heterogeneity in meta-analysis (Q24273230)

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Language	Label	Description	Also known as
English	Hypothesis tests for population heterogeneity in meta-analysis	scientific article

Statements

instance of

scholarly article

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meta-analysis

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based on heuristic

inferred from title

title

Hypothesis tests for population heterogeneity in meta-analysis (English)

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main subject

meta-analysis

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heterogeneity

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inferred from title

author

Wolfgang Viechtbauer

series ordinal

1

object named as

Wolfgang Viechtbauer

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language of work or name

English

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publication date

May 2007

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published in

British Journal of Mathematical and Statistical Psychology

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volume

60

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issue

1

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page(s)

29-60

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cites work

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reference URL

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Detecting and describing heterogeneity in meta-analysis

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7 January 2021

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Meta-analysis: formulating, evaluating, combining, and reporting

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7 January 2021

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Explaining heterogeneity in meta-analysis: a comparison of methods.

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7 January 2021

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Advanced methods in meta-analysis: multivariate approach and meta-regression.

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A random-effects regression model for meta-analysis

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A comparison of statistical methods for meta-analysis

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7 January 2021

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Meta-analysis in clinical trials

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Meta-analysis of correlation coefficients: A Monte Carlo comparison of fixed- and random-effects methods

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The power of statistical tests in meta-analysis

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Meta-analysis of raw mean differences

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Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems

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Parametric Empirical Bayes Inference: Theory and Applications

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Recovery of inter-block information when block sizes are unequal

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Evaluation of old and new tests of heterogeneity in epidemiologic meta-analysis

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Fixed Effects vs. Random Effects Meta-Analysis Models: Implications for Cumulative Research Knowledge

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The use of score tests for inference on variance components

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Meta-analysis: recent developments in quantitative methods for literature reviews.

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Unbiased Estimation of Certain Correlation Coefficients

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Distribution of the standardized mean change effect size for meta-analysis on repeated measures

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Restricted Maximum Likelihood (REML) Estimation of Variance Components in the Mixed Model

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Crossref

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A Comparison of Variance Component Estimators

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Crossref

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7 January 2021

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Variance components testing in the longitudinal mixed effects model

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Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood.

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Problems Arising in the Analysis of a Series of Similar Experiments

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7 January 2021

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The Combination of Estimates from Different Experiments

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7 January 2021

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Distribution Theory for Glass's Estimator of Effect size and Related Estimators

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Crossref

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https://api.crossref.org/works/10.1348%2F000711005X64042

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7 January 2021

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Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model

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Crossref

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https://api.crossref.org/works/10.1348%2F000711005X64042

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7 January 2021

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Identifiers

DOI

10.1348/000711005X64042

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Fatcat ID

release_hstwuqqrr5bmpbg5by4mcx5mtu

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Fatcat

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https://api.fatcat.wiki/v0/release/hstwuqqrr5bmpbg5by4mcx5mtu

retrieved

24 November 2022

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PubMed publication ID

17535578

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