book.bib

@book{hastieElementsStatisticalLearning2009,
  address = {New York},
  edition = {Second},
  title = {The Elements of Statistical Learning: {{Data}} Mining, Inference, and Prediction},
  publisher = {{Springer}},
  author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
  year = {2009},
  file = {C:\\Users\\lissa102\\Zotero\\storage\\9SNFR93Q\\Elements of statistical learning.pdf}
}

@article{fukkinkDoesTrainingMatter2007,
  title = {Does Training Matter? {{A}} Meta-Analysis and Review of Caregiver Training Studies},
  volume = {22},
  issn = {08852006},
  shorttitle = {Does Training Matter?},
  abstract = {A review of studies published between 1980 and 2005 shows a significant positive effect of specialized training on the competency of caregivers in childcare (d = 0.45, S.E. = 0.10). Experimental results from the meta-analysis were significantly smaller for settings with no fixed curriculum content, delivery of the training at multiple sites and large-scale programs. Results were also smaller when tests were used that did not align closely with the content of the training. Furthermore, experimental results were smaller for the skills domain, compared to the knowledge and attitude domain. A subset of experiments with both caregiver and child data also showed a positive effect, supporting the causal link between caregiver training, caregiver competencies and child behavior in childcare, although this effect was not significant due to the small number of studies (d = 0.55, S.E. = 0.30). Based on these findings, we advocate the inclusion of instruction related to teacher\textendash{}child interaction in the curriculum of vocational training for caregivers. \textcopyright{} 2007 Elsevier Inc. All rights reserved.},
  language = {en},
  number = {3},
  journal = {Early Childhood Research Quarterly},
  doi = {10.1016/j.ecresq.2007.04.005},
  author = {Fukkink, Ruben G. and Lont, Anna},
  month = jul,
  year = {2007},
  pages = {294-311},
  file = {C:\\Users\\lissa102\\Zotero\\storage\\GNFHJ6UE\\Fukkink and Lont - 2007 - Does training matter A meta-analysis and review o.pdf}
}

@article{stroblIntroductionRecursivePartitioning2009,
  title = {An Introduction to Recursive Partitioning: {{Rationale}}, Application, and Characteristics of Classification and Regression Trees, Bagging, and Random Forests},
  volume = {14},
  copyright = {(c) 2016 APA, all rights reserved},
  issn = {1939-1463 1082-989X},
  shorttitle = {An Introduction to Recursive Partitioning},
  abstract = {Recursive partitioning methods have become popular and widely used tools for nonparametric regression and classification in many scientific fields. Especially random forests, which can deal with large numbers of predictor variables even in the presence of complex interactions, have been applied successfully in genetics, clinical medicine, and bioinformatics within the past few years. High-dimensional problems are common not only in genetics, but also in some areas of psychological research, where only a few subjects can be measured because of time or cost constraints, yet a large amount of data is generated for each subject. Random forests have been shown to achieve a high prediction accuracy in such applications and to provide descriptive variable importance measures reflecting the impact of each variable in both main effects and interactions. The aim of this work is to introduce the principles of the standard recursive partitioning methods as well as recent methodological improvements, to illustrate their usage for low and high-dimensional data exploration, but also to point out limitations of the methods and potential pitfalls in their practical application. Application of the methods is illustrated with freely available implementations in the R system for statistical computing.},
  language = {English},
  number = {4},
  journal = {Psychological Methods},
  doi = {10.1037/a0016973},
  author = {Strobl, Carolin and Malley, James and Tutz, Gerhard},
  year = {2009},
  keywords = {*Statistical Analysis,*Prediction,*Statistical Regression,Statistical Variables},
  pages = {323-348},
  file = {C:\\Users\\lissa102\\Zotero\\storage\\XJUZCWWV\\Strobl et al_2009_An introduction to recursive partitioning.pdf}
}

@article{vanlissaMetaForestExploringHeterogeneity2017,
  title = {{{MetaForest}}: {{Exploring}} Heterogeneity in Meta-Analysis Using Random Forests},
  shorttitle = {{{MetaForest}}},
  abstract = {Meta-analyses in psychology often lack the power to adequately account for between-studies heterogeneity. The number of studies on any topic is typically low, because research is cost- and time-intensive. At the same time, a host of potential moderators are introduced when similar research questions are examined in different labs, sampling from different populations, using idiosyncratic methods and instrumentation. Such between-studies heterogeneity presents a substantial challenge to data aggregation in classic meta-analysis. When the causes for heterogeneity are known a-priori, they can be accounted for using meta-regression. What is currently lacking, however, is an exploratory approach, to be used when heterogeneity is suspected, but it is not known which moderators most strongly influence the observed effect size. Recently, weighted regression trees have been used to explore heterogeneity in meta-analysis. Although this provides a promising first step, single trees have many limitations, which can be overcome by using random forests: A powerful learning algorithm, which is flexible, yet relatively robust to overfitting. The present paper introduces MetaForest: An adaptation of random forests for meta-analysis. We present two simulation studies, which illustrate that, in datasets as small as 20 cases, MetaForest outperforms single trees, in terms of three metrics: 1) Predictive performance; 2) power, as evidenced by the proportion of datasets in which the algorithm achieved a positive R2cv; and 3) the ability to distinguish relevant moderators from irrelevant moderators, using variable importance measures. We discuss how MetaForest can enhance the exploration of between-studies heterogeneity when conducting meta-analyses in diverse bodies of literature. 
    Hosted on the Open Science Framework},
  language = {en},
  journal = {Open Science Framework},
  doi = {10.17605/OSF.IO/KHJGB},
  author = {Van Lissa, Caspar J.},
  month = sep,
  year = {2017},
  file = {C:\\Users\\lissa102\\Zotero\\storage\\B3ZCS848\\khjgb.html}
}

@article{vandennoortgateMetaanalysisMultipleOutcomes2015,
  title = {Meta-Analysis of Multiple Outcomes: A Multilevel Approach},
  volume = {47},
  issn = {1554-3528},
  shorttitle = {Meta-Analysis of Multiple Outcomes},
  language = {en},
  number = {4},
  journal = {Behavior Research Methods},
  doi = {10.3758/s13428-014-0527-2},
  author = {{Van den Noortgate}, Wim and {L\'opez-L\'opez}, Jos\'e Antonio and {Mar\'in-Mart\'inez}, Fulgencio and {S\'anchez-Meca}, Julio},
  month = dec,
  year = {2015},
  pages = {1274-1294},
  file = {C:\\Users\\lissa102\\Zotero\\storage\\EQZ9ZIU9\\Van den Noortgate et al. - 2015 - Meta-analysis of multiple outcomes a multilevel a.pdf;C:\\Users\\lissa102\\Zotero\\storage\\HHH5BIIQ\\vandennoortgate2014.pdf}
}

@Book{xie2015,
  title = {Dynamic Documents with {R} and knitr},
  author = {Yihui Xie},
  publisher = {Chapman and Hall/CRC},
  address = {Boca Raton, Florida},
  year = {2015},
  edition = {2nd},
  note = {ISBN 978-1498716963},
  url = {http://yihui.name/knitr/},
}

@book{schwarzer2015meta,
  title={Meta-analysis with R},
  author={Schwarzer, Guido and Carpenter, James R and R{\"u}cker, Gerta},
  year={2015},
  publisher={Springer}
}

@book{grolemund2014hands,
  title={Hands-On Programming with R: Write Your Own Functions and Simulations},
  author={Grolemund, Garrett},
  year={2014},
  publisher={O'Reilly}
}

@book{borenstein2011,
  title={Introduction to meta-analysis},
  author={Borenstein, Michael and Hedges, Larry V and Higgins, Julian PT and Rothstein, Hannah R},
  year={2011},
  publisher={John Wiley \& Sons}
}

@article{fleiss1993review,
  title={Review papers: The statistical basis of meta-analysis},
  author={Fleiss, JL},
  journal={Statistical methods in medical research},
  volume={2},
  number={2},
  pages={121--145},
  year={1993},
  publisher={Sage Publications Sage CA: Thousand Oaks, CA}
}

@article{schwarzer2007meta,
  title={meta: An R package for meta-analysis},
  author={Schwarzer, Guido},
  journal={R news},
  volume={7},
  number={3},
  pages={40--45},
  year={2007}
}

@article{cuijpers2016meta,
  title={Meta-analyses in mental health research. A practical guide},
  author={Cuijpers, Pim},
  journal={Amsterdam, the Netherlands: Pim Cuijpers Uitgeverij},
  year={2016}
}

@article{furukawa2003,
  title={Low dosage tricyclic antidepressants for depression},
  author={Furukawa, Toshi A and McGuire, Hugh and Barbui, Corrado},
  journal={Cochrane database of systematic reviews},
  number={3},
  year={2003},
  publisher={John Wiley \& Sons, Ltd}
}

@article{poole1999,
  title={Random-effects meta-analyses are not always conservative},
  author={Poole, Charles and Greenland, Sander},
  journal={American Journal of Epidemiology},
  volume={150},
  number={5},
  pages={469--475},
  year={1999},
  publisher={Oxford University Press}
}

@article{veroniki2016methods,
  title={Methods to estimate the between-study variance and its uncertainty in meta-analysis},
  author={Veroniki, Areti Angeliki and Jackson, Dan and Viechtbauer, Wolfgang and Bender, Ralf and Bowden, Jack and Knapp, Guido and Kuss, Oliver and Higgins, Julian PT and Langan, Dean and Salanti, Georgia},
  journal={Research synthesis methods},
  volume={7},
  number={1},
  pages={55--79},
  year={2016},
  publisher={Wiley Online Library}
}

@article{dersimonian1986meta,
  title={Meta-analysis in clinical trials},
  author={DerSimonian, Rebecca and Laird, Nan},
  journal={Controlled clinical trials},
  volume={7},
  number={3},
  pages={177--188},
  year={1986},
  publisher={Elsevier}
}

@article{sidik2007comparison,
  title={A comparison of heterogeneity variance estimators in combining results of studies},
  author={Sidik, Kurex and Jonkman, Jeffrey N},
  journal={Statistics in medicine},
  volume={26},
  number={9},
  pages={1964--1981},
  year={2007},
  publisher={Wiley Online Library}
}

@article{viechtbauer2005bias,
  title={Bias and efficiency of meta-analytic variance estimators in the random-effects model},
  author={Viechtbauer, Wolfgang},
  journal={Journal of Educational and Behavioral Statistics},
  volume={30},
  number={3},
  pages={261--293},
  year={2005},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}

@article{inthout2014hartung,
  title={The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method},
  author={IntHout, Joanna and Ioannidis, John PA and Borm, George F},
  journal={BMC medical research methodology},
  volume={14},
  number={1},
  pages={25},
  year={2014},
  publisher={BioMed Central}
}

@article{hartung1999alternative,
  title={An alternative method for meta-analysis},
  author={Hartung, Joachim},
  journal={Biometrical Journal: Journal of Mathematical Methods in Biosciences},
  volume={41},
  number={8},
  pages={901--916},
  year={1999},
  publisher={Wiley Online Library}
}

@article{hartung2001refined,
  title={A refined method for the meta-analysis of controlled clinical trials with binary outcome},
  author={Hartung, Joachim and Knapp, Guido},
  journal={Statistics in medicine},
  volume={20},
  number={24},
  pages={3875--3889},
  year={2001},
  publisher={Wiley Online Library}
}

@article{hartung2001tests,
  title={On tests of the overall treatment effect in meta-analysis with normally distributed responses},
  author={Hartung, Joachim and Knapp, Guido},
  journal={Statistics in medicine},
  volume={20},
  number={12},
  pages={1771--1782},
  year={2001},
  publisher={Wiley Online Library}
}

@article{follmann1999valid,
  title={Valid inference in random effects meta-analysis},
  author={Follmann, Dean A and Proschan, Michael A},
  journal={Biometrics},
  volume={55},
  number={3},
  pages={732--737},
  year={1999},
  publisher={Wiley Online Library}
}

@article{makambi2004effect,
  title={The effect of the heterogeneity variance estimator on some tests of treatment efficacy},
  author={Makambi, Kepher H},
  journal={Journal of biopharmaceutical statistics},
  volume={14},
  number={2},
  pages={439--449},
  year={2004},
  publisher={Taylor \& Francis}
}

@article{wiksten2016hartung,
  title={Hartung--Knapp method is not always conservative compared with fixed-effect meta-analysis},
  author={Wiksten, Anna and R{\"u}cker, Gerta and Schwarzer, Guido},
  journal={Statistics in medicine},
  volume={35},
  number={15},
  pages={2503--2515},
  year={2016},
  publisher={Wiley Online Library}
}

@article{jackson2017hartung,
  title={The Hartung-Knapp modification for random-effects meta-analysis: A useful refinement but are there any residual concerns?},
  author={Jackson, Dan and Law, Martin and R{\"u}cker, Gerta and Schwarzer, Guido},
  journal={Statistics in medicine},
  volume={36},
  number={25},
  pages={3923--3934},
  year={2017},
  publisher={Wiley Online Library}
}

@article{gart1967bias,
  title={On the bias of various estimators of the logit and its variance with application to quantal bioassay},
  author={Gart, John J and Zweifel, James R},
  journal={Biometrika},
  pages={181--187},
  year={1967},
  publisher={JSTOR}
}

@article{j2004add,
  title={What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data},
  author={J. Sweeting, Michael and J. Sutton, Alexander and C. Lambert, Paul},
  journal={Statistics in medicine},
  volume={23},
  number={9},
  pages={1351--1375},
  year={2004},
  publisher={Wiley Online Library}
}

@article{rucker2008undue,
  title={Undue reliance on I 2 in assessing heterogeneity may mislead},
  author={R{\"u}cker, Gerta and Schwarzer, Guido and Carpenter, James R and Schumacher, Martin},
  journal={BMC medical research methodology},
  volume={8},
  number={1},
  pages={79},
  year={2008},
  publisher={BioMed Central}
}

@article{higgins2002quantifying,
  title={Quantifying heterogeneity in a meta-analysis},
  author={Higgins, Julian PT and Thompson, Simon G},
  journal={Statistics in medicine},
  volume={21},
  number={11},
  pages={1539--1558},
  year={2002},
  publisher={Wiley Online Library}
}

@article{higgins2003measuring,
  title={Measuring inconsistency in meta-analyses},
  author={Higgins, Julian PT and Thompson, Simon G and Deeks, Jonathan J and Altman, Douglas G},
  journal={BMJ: British Medical Journal},
  volume={327},
  number={7414},
  pages={557},
  year={2003},
  publisher={BMJ Publishing Group}
}

@article{borenstein2017basics,
  title={Basics of meta-analysis: I2 is not an absolute measure of heterogeneity},
  author={Borenstein, Michael and Higgins, Julian PT and Hedges, Larry V and Rothstein, Hannah R},
  journal={Research synthesis methods},
  volume={8},
  number={1},
  pages={5--18},
  year={2017},
  publisher={Wiley Online Library}
}

@article{inthout2016plea,
  title={Plea for routinely presenting prediction intervals in meta-analysis},
  author={IntHout, Joanna and Ioannidis, John PA and Rovers, Maroeska M and Goeman, Jelle J},
  journal={BMJ open},
  volume={6},
  number={7},
  pages={e010247},
  year={2016},
  publisher={British Medical Journal Publishing Group}
}

@article{cohen1988statistical,
  title={Statistical power analysis for the behavioral sciences. 1988, Hillsdale, NJ: L},
  author={Cohen, Jacob},
  journal={Lawrence Earlbaum Associates},
  volume={2},
  year={1988}
}

@article{hedges1981distribution,
  title={Distribution theory for Glass's estimator of effect size and related estimators},
  author={Hedges, Larry V},
  journal={journal of Educational Statistics},
  volume={6},
  number={2},
  pages={107--128},
  year={1981},
  publisher={Sage Publications Sage CA: Thousand Oaks, CA}
}

@misc{hedges1985statistical,
  title={Statistical models for meta-analysis},
  author={Hedges, L and Olkin, Ingram},
  year={1985},
  publisher={New York: Academic Press}
}

@Manual{esc,
  title = {Effect Size Computation for Meta Analysis},
  author = {Daniel Lüdecke},
  year = {2018},
  note = {R package version 0.4.1},
  url = {https://CRAN.R-project.org/package=esc},
}

@book{lipsey2001practical,
  title={Practical meta-analysis.},
  author={Lipsey, Mark W and Wilson, David B},
  year={2001},
  publisher={Sage Publications, Inc}
}

@article{cohen1992power,
  title={A power primer.},
  author={Cohen, Jacob},
  journal={Psychological bulletin},
  volume={112},
  number={1},
  pages={155},
  year={1992},
  publisher={American Psychological Association}
}

@article{rosnow1996computing,
  title={Computing contrasts, effect sizes, and counternulls on other people's published data: General procedures for research consumers.},
  author={Rosnow, Ralph L and Rosenthal, Robert},
  journal={Psychological Methods},
  volume={1},
  number={4},
  pages={331},
  year={1996},
  publisher={American Psychological Association}
}

@article{rosnow2000contrasts,
  title={Contrasts and correlations in effect-size estimation},
  author={Rosnow, Ralph L and Rosenthal, Robert and Rubin, Donald B},
  journal={Psychological science},
  volume={11},
  number={6},
  pages={446--453},
  year={2000},
  publisher={SAGE Publications Sage CA: Los Angeles, CA}
}

@article{thalheimer2002calculate,
  title={How to calculate effect sizes from published research: A simplified methodology},
  author={Thalheimer, Will and Cook, Samantha},
  journal={Work-Learning Research},
  volume={1},
  year={2002}
}

@misc{rosenthal1984meta,
  title={Meta-Analysis Procedure for Social Research},
  author={Rosenthal, R},
  year={1984},
  publisher={Sage Publications}
}


@book{aaron1998equating,
  title={Equating r-based and d-based effect size indices: problems with a commonly recommended formula},
  author={Aaron, Bruce and Kromrey, Jeffrey D and Ferron, John},
  year={1998},
  publisher={ERIC Clearinghouse}
}

@article{viechtbauer2010outlier,
  title={Outlier and influence diagnostics for meta-analysis},
  author={Viechtbauer, Wolfgang and Cheung, Mike W-L},
  journal={Research synthesis methods},
  volume={1},
  number={2},
  pages={112--125},
  year={2010},
  publisher={Wiley Online Library}
}

@article{baujat2002graphical,
  title={A graphical method for exploring heterogeneity in meta-analyses: application to a meta-analysis of 65 trials},
  author={Baujat, Bertrand and Mah{\'e}, C{\'e}dric and Pignon, Jean-Pierre and Hill, Catherine},
  journal={Statistics in medicine},
  volume={21},
  number={18},
  pages={2641--2652},
  year={2002},
  publisher={Wiley Online Library}
}

@article{borenstein2013meta,
  title={Meta-analysis and subgroups},
  author={Borenstein, Michael and Higgins, Julian PT},
  journal={Prevention Science},
  volume={14},
  number={2},
  pages={134--143},
  year={2013},
  publisher={Springer}
}

@article{higgins2004controlling,
  title={Controlling the risk of spurious findings from meta-regression},
  author={Higgins, Julian PT and Thompson, Simon G},
  journal={Statistics in medicine},
  volume={23},
  number={11},
  pages={1663--1682},
  year={2004},
  publisher={Wiley Online Library}
}

@book{rothstein2006publication,
  title={Publication bias in meta-analysis: Prevention, assessment and adjustments},
  author={Rothstein, Hannah R and Sutton, Alexander J and Borenstein, Michael},
  year={2006},
  publisher={John Wiley \& Sons}
}

@article{nelson2018psychology,
  title={Psychology's renaissance},
  author={Nelson, Leif D and Simmons, Joseph and Simonsohn, Uri},
  journal={Annual review of psychology},
  volume={69},
  year={2018}
}

@article{dickersin2005publication,
  title={Publication bias: Recognizing the problem, understanding its origins and scope, and preventing harm},
  author={Dickersin, Kay},
  journal={Publication bias in meta-analysis: Prevention, assessment and adjustments},
  pages={11--33},
  year={2005},
  publisher={Wiley Chichester, UK}
}

@article{simonsohn2014p,
  title={P-curve: a key to the file-drawer.},
  author={Simonsohn, Uri and Nelson, Leif D and Simmons, Joseph P},
  journal={Journal of Experimental Psychology: General},
  volume={143},
  number={2},
  pages={534},
  year={2014},
  publisher={American Psychological Association}
}

@article{simonsohn2015better,
  title={Better P-curves: Making P-curve analysis more robust to errors, fraud, and ambitious P-hacking, a Reply to Ulrich and Miller (2015).},
  author={Simonsohn, Uri and Simmons, Joseph P and Nelson, Leif D},
  year={2015},
  publisher={American Psychological Association}
}

@article{simonsohn2014pb,
  title={p-curve and effect size: Correcting for publication bias using only significant results},
  author={Simonsohn, Uri and Nelson, Leif D and Simmons, Joseph P},
  journal={Perspectives on Psychological Science},
  volume={9},
  number={6},
  pages={666--681},
  year={2014},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}

@article{harrer2019internet,
  title={Internet Interventions for Mental Health in University Students: a systematic review and Meta-Analysis},
  author={Harrer, Mathias and Adam, Sophia H and Baumeister, Harald and Karyotaki, Erini and Cuijper, Pim and Bruffaerts, Ronny and Auerbach, Randy P and Kessler, Ronald C and Berking, Matthias and Ebert, David D.},
  journal={Journal of Methods in Psychiatric Research},
  year={2019},
}

@article{simmons2011false,
  title={False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant},
  author={Simmons, Joseph P and Nelson, Leif D and Simonsohn, Uri},
  journal={Psychological science},
  volume={22},
  number={11},
  pages={1359--1366},
  year={2011},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}

@article{peters2008contour,
  title={Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry},
  author={Peters, Jaime L and Sutton, Alex J and Jones, David R and Abrams, Keith R and Rushton, Lesley},
  journal={Journal of clinical epidemiology},
  volume={61},
  number={10},
  pages={991--996},
  year={2008},
  publisher={Elsevier}
}

@article{egger1997bias,
  title={Bias in meta-analysis detected by a simple, graphical test},
  author={Egger, Matthias and Smith, George Davey and Schneider, Martin and Minder, Christoph},
  journal={Bmj},
  volume={315},
  number={7109},
  pages={629--634},
  year={1997},
  publisher={British Medical Journal Publishing Group}
}

@article{duval2000trim,
  title={Trim and fill: a simple funnel-plot--based method of testing and adjusting for publication bias in meta-analysis},
  author={Duval, Sue and Tweedie, Richard},
  journal={Biometrics},
  volume={56},
  number={2},
  pages={455--463},
  year={2000},
  publisher={Wiley Online Library}
}

@article{head2015extent,
  title={The extent and consequences of p-hacking in science},
  author={Head, Megan L and Holman, Luke and Lanfear, Rob and Kahn, Andrew T and Jennions, Michael D},
  journal={PLoS biology},
  volume={13},
  number={3},
  pages={e1002106},
  year={2015},
  publisher={Public Library of Science}
}

@article{del2013compute,
  title={compute. es: Compute Effect Sizes. R package version 0.2-2},
  author={Del Re, AC},
  year={2013},
  publisher={R-project}
}

@article{hong2011poibin,
  title={poibin: the Poisson binomial distribution},
  author={Hong, Y},
  year={2011},
  publisher={R package version}
}

@article{van2016conducting,
  title={Conducting meta-analyses based on p values: Reservations and recommendations for applying p-uniform and p-curve},
  author={van Aert, Robbie CM and Wicherts, Jelte M and van Assen, Marcel ALM},
  journal={Perspectives on Psychological Science},
  volume={11},
  number={5},
  pages={713--729},
  year={2016},
  publisher={Sage Publications Sage CA: Los Angeles, CA}
}

@article{cuijpers2014threshold,
  title={What is the threshold for a clinically relevant effect? The case of major depressive disorders},
  author={Cuijpers, Pim and Turner, Erick H and Koole, Sander L and Van Dijke, Annemiek and Smit, Filip},
  journal={Depression and anxiety},
  volume={31},
  number={5},
  pages={374--378},
  year={2014},
  publisher={Wiley Online Library}
}

@article{hoenig2001abuse,
  title={The abuse of power: the pervasive fallacy of power calculations for data analysis},
  author={Hoenig, John M and Heisey, Dennis M},
  journal={The American Statistician},
  volume={55},
  number={1},
  pages={19--24},
  year={2001},
  publisher={Taylor \& Francis}
}

@article{hedges2004power,
  title={The power of statistical tests for moderators in meta-analysis.},
  author={Hedges, Larry V and Pigott, Therese D},
  journal={Psychological methods},
  volume={9},
  number={4},
  pages={426},
  year={2004},
  publisher={American Psychological Association}
}

@article{labbe,
  title={Meta-analysis in clinical research},
  author={L'Abbé, Kristan A and Detsky, Allan S and O'Rourke, Keith},
  journal={Annals of Internal Medicine},
  volume={107},
  number={2},
  pages={224--233},
  year={1987},
  publisher={Am Coll Physicians}
}

@article{pastor2018multilevel,
  title={On the multilevel nature of meta-analysis: a tutorial, comparison of software programs, and discussion of analytic choices},
  author={Pastor, Dena A and Lazowski, Rory A},
  journal={Multivariate behavioral research},
  volume={53},
  number={1},
  pages={74--89},
  year={2018},
  publisher={Taylor \& Francis}
}

@article{cheung2014modeling,
  title={Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach.},
  author={Cheung, Mike W-L},
  journal={Psychological Methods},
  volume={19},
  number={2},
  pages={211},
  year={2014},
  publisher={American Psychological Association}
}

@article{assink2016fitting,
  title={Fitting three-level meta-analytic models in R: A step-by-step tutorial},
  author={Assink, Mark and Wibbelink, Carlijn JM},
  journal={The Quantitative Methods for Psychology},
  volume={12},
  number={3},
  pages={154--174},
  year={2016}
}

@article{hedges2009statistical,
  title={Statistical considerations},
  author={Hedges, Larry V},
  journal={The handbook of research synthesis and meta-analysis},
  pages={38--47},
  year={2009},
  publisher={Russell Sage Foundation New York}
}

@article{lme4,
    title = {Fitting Linear Mixed-Effects Models Using {lme4}},
    author = {Douglas Bates and Martin M{\"a}chler and Ben Bolker and Steve Walker},
    journal = {Journal of Statistical Software},
    year = {2015},
    volume = {67},
    number = {1},
    pages = {1--48},
    doi = {10.18637/jss.v067.i01},
}

@article{higgins2004controlling,
  title={Controlling the risk of spurious findings from meta-regression},
  author={Higgins, Julian PT and Thompson, Simon G},
  journal={Statistics in medicine},
  volume={23},
  number={11},
  pages={1663--1682},
  year={2004},
  publisher={Wiley Online Library}
}

@article{iniesta2016machine,
  title={Machine learning, statistical learning and the future of biological research in psychiatry},
  author={Iniesta, R and Stahl, D and McGuffin, P},
  journal={Psychological medicine},
  volume={46},
  number={12},
  pages={2455--2465},
  year={2016},
  publisher={Cambridge University Press}
}

@article{gigerenzer2004mindless,
  title={Mindless statistics},
  author={Gigerenzer, Gerd},
  journal={The Journal of Socio-Economics},
  volume={33},
  number={5},
  pages={587--606},
  year={2004},
  publisher={Elsevier}
}

@book{gigerenzer2008rationality,
  title={Rationality for mortals: How people cope with uncertainty},
  author={Gigerenzer, Gerd},
  year={2008},
  publisher={Oxford University Press}
}

@article{higgins2002statistical,
  title={Statistical heterogeneity in systematic reviews of clinical trials: a critical appraisal of guidelines and practice},
  author={Higgins, Julian and Thompson, Simon and Deeks, Jonathan and Altman, Douglas},
  journal={Journal of health services research \& policy},
  volume={7},
  number={1},
  pages={51--61},
  year={2002},
  publisher={SAGE Publications Sage UK: London, England}
}

@article{berlin1992advantages,
  title={Advantages and limitations of meta-analytic regressions of clinical trials data},
  author={Berlin, Jesse A and Antman, Elliott M},
  journal={Controlled Clinical Trials},
  volume={13},
  number={5},
  pages={422},
  year={1992},
  publisher={Elsevier}
}

@article{mansfield1982detecting,
  title={Detecting multicollinearity},
  author={Mansfield, Edward R and Helms, Billy P},
  journal={The American Statistician},
  volume={36},
  number={3a},
  pages={158--160},
  year={1982},
  publisher={Taylor \& Francis}
}

@book{field2012discovering,
  title={Discovering statistics using R},
  author={Field, Andy and Miles, Jeremy and Field, Zo{\"e}},
  year={2012},
  publisher={Sage publications}
}

@article{whittingham2006we,
  title={Why do we still use stepwise modelling in ecology and behaviour?},
  author={Whittingham, Mark J and Stephens, Philip A and Bradbury, Richard B and Freckleton, Robert P},
  journal={Journal of animal ecology},
  volume={75},
  number={5},
  pages={1182--1189},
  year={2006},
  publisher={Wiley Online Library}
}

@article{chatfield1995model,
  title={Model uncertainty, data mining and statistical inference},
  author={Chatfield, Chris},
  journal={Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  volume={158},
  number={3},
  pages={419--444},
  year={1995},
  publisher={Wiley Online Library}
}

@article{viechtbauer2010conducting,
  title={Conducting meta-analyses in R with the metafor package},
  author={Viechtbauer, Wolfgang and others},
  journal={J Stat Softw},
  volume={36},
  number={3},
  pages={1--48},
  year={2010}
}

@book{good2013permutation,
  title={Permutation tests: a practical guide to resampling methods for testing hypotheses},
  author={Good, Phillip},
  year={2013},
  publisher={Springer Science \& Business Media}
}

@article{viechtbauer2015comparison,
  title={A comparison of procedures to test for moderators in mixed-effects meta-regression models.},
  author={Viechtbauer, Wolfgang and L{\'o}pez-L{\'o}pez, Jos{\'e} Antonio and S{\'a}nchez-Meca, Julio and Mar{\'\i}n-Mart{\'\i}nez, Fulgencio},
  journal={Psychological methods},
  volume={20},
  number={3},
  pages={360},
  year={2015},
  publisher={American Psychological Association}
}