references.bib

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  title = {Mostly Harmless Econometrics: {{An}} Empiricist's Companion},
  author = {Angrist, Joshua D and Pischke, Jörn-Steffen},
  date = {2008},
  publisher = {{Princeton university press}}
}

@report{angristIdentificationEstimationLocal1995,
  title = {Identification and Estimation of Local Average Treatment Effects},
  author = {Angrist, Joshua D. and Imbens, Guido W.},
  date = {1995},
  institution = {{National Bureau of Economic Research}},
  file = {/Users/yosemite/Zotero/storage/RGCL6SBM/Angrist and Imbens - 1995 - Identification and estimation of local average tre.pdf;/Users/yosemite/Zotero/storage/ZHIZN9Q7/t0118.html}
}

@article{bakerSummaryReportAAPOR2013,
  title = {Summary Report of the {{AAPOR}} Task Force on Non-Probability Sampling},
  author = {Baker, Reg and Brick, J. Michael and Bates, Nancy A. and Battaglia, Mike and Couper, Mick P. and Dever, Jill A. and Gile, Krista J. and Tourangeau, Roger},
  date = {2013},
  journaltitle = {Journal of survey statistics and methodology},
  volume = {1},
  number = {2},
  pages = {90--143},
  publisher = {{Oxford University Press}},
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}

@article{boersFavourableEffectsConsuming2014,
  title = {Favourable Effects of Consuming a {{Palaeolithic}}-Type Diet on Characteristics of the Metabolic Syndrome: A Randomized Controlled Pilot-Study},
  shorttitle = {Favourable Effects of Consuming a {{Palaeolithic}}-Type Diet on Characteristics of the Metabolic Syndrome},
  author = {Boers, Inge and Muskiet, Frits AJ and Berkelaar, Evert and Schut, Erik and Penders, Ria and Hoenderdos, Karine and Wichers, Harry J. and Jong, Miek C.},
  date = {2014},
  journaltitle = {Lipids in health and disease},
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  number = {1},
  pages = {160},
  publisher = {{Springer}},
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}

@article{brodeurMethodsMatterPhacking2018,
  title = {Methods Matter: {{P}}-Hacking and Causal Inference in Economics},
  shorttitle = {Methods Matter},
  author = {Brodeur, Abel and Cook, Nikolai and Heyes, Anthony G.},
  date = {2018},
  publisher = {{IZA Discussion paper}},
  file = {/Users/yosemite/Zotero/storage/BLDM99SQ/Brodeur et al. - 2018 - Methods matter P-hacking and causal inference in .pdf}
}

@article{buttonPowerFailureWhy2013,
  ids = {Button2013,button2013power},
  title = {Power Failure: {{Why}} Small Sample Size Undermines the Reliability of Neuroscience},
  author = {Button, Katherine S and Ioannidis, John P A and Mokrysz, Claire and Nosek, Brian A and Flint, Jonathan and Robinson, Emma S J and Munaf`o, Marcus R},
  date = {2013},
  journaltitle = {Nature Reviews Neuroscience},
  volume = {14},
  number = {5},
  eprint = {23571845},
  eprinttype = {pmid},
  pages = {365--376},
  publisher = {{Nature Publishing Group}},
  doi = {10/k9d}
}

@book{christianAlgorithmsLiveComputer2016,
  title = {Algorithms to Live by: {{The}} Computer Science of Human Decisions},
  shorttitle = {Algorithms to Live By},
  author = {Christian, Brian and Griffiths, Tom},
  date = {2016},
  publisher = {{Macmillan}}
}

@online{ConsistencyInferenceInstrumental,
  title = {Consistency without {{Inference}}: {{Instrumental Variables}} in {{Practical Application}}* - {{Google Search}}},
  url = {https://www.google.com/search?q=Consistency+without+Inference%3A+Instrumental+Variables+in+Practical+Application*&oq=Consistency+without+Inference%3A+Instrumental+Variables+in+Practical+Application*&aqs=chrome..69i57.176j0j4&sourceid=chrome&ie=UTF-8},
  urldate = {2020-06-18},
  keywords = {econometrics},
  file = {/Users/yosemite/Zotero/storage/26PDVEY3/search.html}
}

@book{cunninghamCausalInferenceMixtape2018,
  title = {Causal Inference: {{The}} Mixtape},
  shorttitle = {Causal Inference},
  author = {Cunningham, Scott},
  date = {2018},
  publisher = {{Yale University Press}},
  file = {/Users/yosemite/Zotero/storage/JCY5FKGK/books.html}
}

@article{demenezesInfluencePaleolithicDiet2019a,
  title = {Influence of Paleolithic Diet on Anthropometric Markers in Chronic Diseases: Systematic Review and Meta-Analysis},
  shorttitle = {Influence of Paleolithic Diet on Anthropometric Markers in Chronic Diseases},
  author = {de Menezes, Ehrika Vanessa Almeida and de Carvalho Sampaio, Helena Alves and Carioca, Antônio Augusto Ferreira and Parente, Nara Andrade and Brito, Filipe Oliveira and Moreira, Thereza Maria Magalhães and de Souza, Ana Célia Caetano and Arruda, Soraia Pinheiro Machado},
  options = {useprefix=true},
  date = {2019},
  journaltitle = {Nutrition journal},
  volume = {18},
  number = {1},
  pages = {41},
  publisher = {{BioMed Central}},
  doi = {10/ghqb6s},
  file = {/Users/yosemite/Zotero/storage/HSZCRLIM/s12937-019-0457-z.html}
}

@article{fentonPaleoDietStill2016,
  title = {Paleo Diet Still Lacks Evidence},
  author = {Fenton, Tanis R. and Fenton, Carol J.},
  date = {2016},
  journaltitle = {The American Journal of Clinical Nutrition},
  volume = {104},
  number = {3},
  pages = {844--844},
  publisher = {{Oxford University Press}},
  doi = {10/ghqb6v},
  file = {/Users/yosemite/Zotero/storage/2XP9JBHS/4564746.html;/Users/yosemite/Zotero/storage/3MIYRNUR/4564746.html}
}

@book{friedmanElementsStatisticalLearning2001,
  title = {The Elements of Statistical Learning},
  author = {Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert and others},
  date = {2001},
  volume = {1},
  number = {10},
  publisher = {{Springer series in statistics New York}}
}

@article{fryarMeanBodyWeight2018,
  title = {Mean Body Weight, Weight, Waist Circumference, and Body Mass Index among Adults: {{United States}}, 1999–2000 through 2015–2016},
  shorttitle = {Mean Body Weight, Weight, Waist Circumference, and Body Mass Index among Adults},
  author = {Fryar, Cheryl D. and Kruszan-Moran, Deanna and Gu, Qiuping and Ogden, Cynthia L.},
  date = {2018},
  keywords = {⛔ No DOI found},
  file = {/Users/yosemite/Zotero/storage/M3T9I8GY/61430.html}
}

@article{gelmanDifferenceSignificantNot2006,
  title = {The Difference between “Significant” and “Not Significant” Is Not Itself Statistically Significant},
  author = {Gelman, Andrew and Stern, Hal},
  date = {2006},
  journaltitle = {The American Statistician},
  volume = {60},
  number = {4},
  pages = {328--331},
  publisher = {{Taylor \& Francis}},
  file = {/Users/yosemite/Zotero/storage/LEU2W4HM/000313006x152649.html}
}

@article{ghaediEffectsPaleolithicDiet2019,
  title = {Effects of a {{Paleolithic}} Diet on Cardiovascular Disease Risk Factors: {{A}} Systematic Review and Meta-Analysis of Randomized Controlled Trials},
  shorttitle = {Effects of a {{Paleolithic}} Diet on Cardiovascular Disease Risk Factors},
  author = {Ghaedi, Ehsan and Mohammadi, Mohammad and Mohammadi, Hamed and Ramezani-Jolfaie, Nahid and Malekzadeh, Janmohamad and Hosseinzadeh, Mahdieh and Salehi-Abargouei, Amin},
  date = {2019},
  journaltitle = {Advances in Nutrition},
  volume = {10},
  number = {4},
  pages = {634--646},
  publisher = {{Oxford University Press}},
  doi = {10/ghp383},
  file = {/Users/yosemite/Zotero/storage/L2LBCUNR/governor.html}
}

@article{guyattGRADEEmergingConsensus2008,
  title = {{{GRADE}}: An Emerging Consensus on Rating Quality of Evidence and Strength of Recommendations},
  shorttitle = {{{GRADE}}},
  author = {Guyatt, Gordon H. and Oxman, Andrew D. and Vist, Gunn E. and Kunz, Regina and Falck-Ytter, Yngve and Alonso-Coello, Pablo and Schünemann, Holger J.},
  date = {2008},
  journaltitle = {Bmj},
  volume = {336},
  number = {7650},
  pages = {924--926},
  publisher = {{British Medical Journal Publishing Group}},
  doi = {10/dqmphq},
  file = {/Users/yosemite/Zotero/storage/C7C5CF58/924.html;/Users/yosemite/Zotero/storage/MCB4YVK2/924.html}
}

@article{harmsMakingNullEffects2018,
  ids = {harms2018making},
  title = {Making'null Effects' Informative: Statistical Techniques and Inferential Frameworks},
  shorttitle = {Making'null Effects' Informative},
  author = {Harms, Christopher and Lakens, Daniël},
  date = {2018},
  journaltitle = {Journal of clinical and translational research},
  volume = {3},
  pages = {382},
  publisher = {{Whioce Publishing Pte. Ltd.}},
  issue = {Suppl 2},
  keywords = {⛔ No DOI found},
  file = {/Users/yosemite/Zotero/storage/DZXKF6T3/PMC6412612.html}
}

@article{harrerDoingMetaanalysisHandson2019,
  title = {Doing Meta-Analysis in {{R}}: A Hands-on Guide},
  shorttitle = {Doing Meta-Analysis in {{R}}},
  author = {Harrer, M. and Cuijpers, P. and Furukawa, T. A. and Ebert, D. D.},
  date = {2019},
  journaltitle = {PROTECT Lab Erlangen},
  keywords = {⛔ No DOI found}
}

@article{Heckman2013,
  ids = {Heckman2013a},
  title = {Econometric Mediation Analyses : {{Identifying}} the Sources of Treatment Effects from Experimentally Estimated Production Technologies with Unmeasured and Mismeasured Inputs},
  author = {Heckman, James and Pinto, Rodrigo and Heckman, James},
  date = {2013},
  number = {7552},
  keywords = {measureme,mediation analysis,production function}
}

@book{hernanCausalInference2010,
  title = {Causal Inference},
  author = {Hernán, Miguel A. and Robins, James M.},
  date = {2010},
  publisher = {{CRC Boca Raton, FL;}},
  file = {/Users/yosemite/Zotero/storage/TN9PQQI2/Hernán and Robins - 2010 - Causal inference.pdf}
}

@article{juddTreatingStimuliRandom2012,
  title = {Treating Stimuli as a Random Factor in Social Psychology: {{A}} New and Comprehensive Solution to a Pervasive but Largely Ignored Problem.},
  shorttitle = {Treating Stimuli as a Random Factor in Social Psychology},
  author = {Judd, Charles M. and Westfall, Jacob and Kenny, David A.},
  date = {2012},
  journaltitle = {Journal of personality and social psychology},
  volume = {103},
  number = {1},
  pages = {54},
  publisher = {{American Psychological Association}},
  doi = {10/f33f3t},
  file = {/Users/yosemite/Zotero/storage/RTUEA9J8/Judd et al. - 2012 - Treating stimuli as a random factor in social psyc.pdf;/Users/yosemite/Zotero/storage/A4CSRV36/2012-13110-001.html}
}

@article{kasyWhyExperimentersMight2016,
  ids = {Kasy2015,Kasy2016b,kasyWhyExperimentersMight2015},
  title = {Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead},
  author = {Kasy, Maximilian},
  date = {2016},
  journaltitle = {Political Analysis},
  volume = {24},
  number = {3},
  pages = {324--338},
  issn = {14764989},
  doi = {10.1093/pan/mpw012},
  abstract = {Suppose that an experimenter has collected a sample as well as baseline information about the units in the sample. How should she allocate treatments to the units in this sample? We argue that the answer does not involve randomization if we think of experimental design as a statistical decision problem. If, for instance, the experimenter is interested in estimating the average treatment effect and evaluates an estimate in terms of the squared error, then she should minimize the expected mean squared error (MSE) through choice of a treatment assignment. We provide explicit expressions for the expected MSE that lead to easily implementable procedures for experimental design.},
  keywords = {decision theory,experimental design,Experimental design,field,nonparametric bayesian methods}
}

@book{kelleherFundamentalsMachineLearning2015,
  title = {Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies},
  shorttitle = {Fundamentals of Machine Learning for Predictive Data Analytics},
  author = {Kelleher, John D. and Mac Namee, Brian and D'Arcy, Aoife},
  date = {2015},
  publisher = {{The MIT Press}},
  location = {{Cambridge, Massachusetts}},
  isbn = {978-0-262-02944-5},
  langid = {english},
  pagetotal = {595},
  keywords = {Data mining,Machine learning,Prediction theory},
  file = {/Users/yosemite/Zotero/storage/YMLYM8Z8/Kelleher et al. - 2015 - Fundamentals of machine learning for predictive da.pdf}
}

@book{kennedyGuideEconometrics2003,
  ids = {Kennedy2003,Kennedy2003a,kennedyGuideEconometrics2003a,kennedyGuideEconometrics2003b},
  title = {A Guide to Econometrics},
  author = {Kennedy, Peter},
  date = {2003},
  publisher = {{MIT press}}
}

@article{kennedyOldFiledrawerProblem2004,
  title = {The Old File-Drawer Problem},
  author = {Kennedy, Donald},
  date = {2004},
  journaltitle = {Science},
  volume = {305},
  number = {5683},
  pages = {451--452},
  publisher = {{American Association for the Advancement of Science}},
  doi = {10/dz778j},
  file = {/Users/yosemite/Zotero/storage/AS4XRNGD/anonymous.html;/Users/yosemite/Zotero/storage/NMRAJWPQ/213577451.html}
}

@article{leeTrainingWagesSample2009,
  title = {Training, Wages, and Sample Selection: {{Estimating}} Sharp Bounds on Treatment Effects},
  author = {Lee, David S.},
  date = {2009},
  journaltitle = {Review of Economic Studies},
  issn = {00346527},
  doi = {10.1111/j.1467-937X.2009.00536.x},
  abstract = {This paper empirically assesses the wage effects of the Job Corps program, one of the largest federally funded job training programs in the U.S. Even with the aid of a randomized experiment, the impact of a training program on wages is difficult to study because of sample selection, a pervasive problem in applied microeconometric research. Wage rates are only observed for those who are employed, and employment status itself may be affected by the training program. This paper develops an intuitive trimming procedure for bounding average treatment effects in the presence of sample selection. In contrast to existing methods, the procedure requires neither exclusion restrictions nor a bounded support for the outcome of interest. Identification results, estimators, and their asymptotic distribution are presented. The bounds suggest that the program raised wages, consistent with the notion that the Job Corps raises earnings by increasing human capital, rather than solely through encouraging work. The estimator is generally applicable to typical treatment evaluation problems in which there is nonrandom sample selection/attrition. © 2009 The Review of Economic Studies Limited.}
}

@Article{manheimerPaleolithicNutritionMetabolic2015,
  title = {Paleolithic Nutrition for Metabolic Syndrome: Systematic Review and Meta-Analysis},
  shorttitle = {Paleolithic Nutrition for Metabolic Syndrome},
  author = {Manheimer, Eric W. and van Zuuren, Esther J. and Fedorowicz, Zbys and Pijl, Hanno},
  options = {useprefix=true},
  date = {2015},
  journaltitle = {The American journal of clinical nutrition},
  volume = {102},
  pages = {922--932},
  publisher = {{Oxford University Press}},
  file = {/Users/yosemite/Zotero/storage/E7T9KAM7/4564680.html;/Users/yosemite/Zotero/storage/WS2TSNID/4564680.html},
  journal = {The American journal of clinical nutrition},
  number = {4},
}

@article{manheimerReplyTRFenton2016,
  title = {Reply to {{TR Fenton}} and {{CJ Fenton}}},
  author = {Manheimer, Eric W.},
  date = {2016},
  journaltitle = {The American journal of clinical nutrition},
  volume = {104},
  number = {3},
  pages = {845},
  publisher = {{American Society for Nutrition}},
  doi = {10/ghqb6t},
  file = {/Users/yosemite/Zotero/storage/4WRC9VUL/PMC4997305.html}
}

@article{McElreath2015,
  title = {The Golem of Prague (Chapter 1) and Multilevel Models (Chapter 12)},
  author = {McElreath, Richard},
  date = {2015},
  journaltitle = {Statistical Rethinking: A Bayesian Course with Examples in R and Stan},
  pages = {469},
  issn = {1076-9986},
  doi = {10.3102/1076998616659752},
  url = {https://books.google.com/books?hl=en\{&\}lr=\{&\}id=mDo0CwAAQBAJ\{&\}pgis=1},
  abstract = {Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers' knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.},
  isbn = {1482253461}
}

@article{osterUnobservableSelectionCoefficient2019,
  ids = {Oster2019,oster2019unobservable},
  title = {Unobservable Selection and Coefficient Stability: {{Theory}} and Evidence},
  shorttitle = {Unobservable Selection and Coefficient Stability},
  author = {Oster, Emily},
  date = {2019},
  journaltitle = {Journal of Business \& Economic Statistics},
  volume = {37},
  number = {2},
  pages = {187--204},
  publisher = {{Taylor \& Francis}},
  doi = {10.1080/07350015.2016.1227711},
  keywords = {Coefficient stability,Omitted variable bias,Selection},
  file = {/Users/yosemite/Zotero/storage/MVX62WYJ/Oster - 2019 - Unobservable selection and coefficient stability .pdf;/Users/yosemite/Zotero/storage/DLNFVA7K/07350015.2016.html}
}

@article{paezGrayLiteratureImportant2017,
  title = {Gray Literature: {{An}} Important Resource in Systematic Reviews},
  shorttitle = {Gray Literature},
  author = {Paez, Arsenio},
  date = {2017},
  journaltitle = {Journal of Evidence-Based Medicine},
  volume = {10},
  number = {3},
  pages = {233--240},
  publisher = {{Wiley Online Library}},
  doi = {10/gbtnr9},
  file = {/Users/yosemite/Zotero/storage/DA84QHAU/jebm.html;/Users/yosemite/Zotero/storage/R7YT442T/jebm.html}
}

@article{Quintana2015,
  title = {From Pre-Registration to Publication: {{A}} Non-Technical Primer for Conducting a Meta-Analysis to Synthesize Correlational Data},
  author = {Quintana, Daniel S.},
  date = {2015},
  journaltitle = {Frontiers in Psychology},
  volume = {6},
  eprint = {26500598},
  eprinttype = {pmid},
  pages = {1--9},
  issn = {16641078},
  doi = {10.3389/fpsyg.2015.01549},
  abstract = {Meta-analysis synthesizes a body of research investigating a common research question. Outcomes from meta-analyses provide a more objective and transparent summary of a research area than traditional narrative reviews. Moreover, they are often used to support research grant applications, guide clinical practice and direct health policy. The aim of this article is to provide a practical and nontechnical guide for psychological scientists that outlines the steps involved in planning and performing a meta-analysis of correlational datasets. I provide a supplementary R script to demonstrate each analytical step described in the paper, which is readily adaptable for researchers to use for their analyses. While the worked example is the analysis of correlational dataset, the general meta-analytic process described in this paper is applicable for all types of effect sizes. I also emphasise the importance of meta-analysis protocols and pre-registration to improve transparency and help avoid unintended duplication. An improved understanding this tool will not only help scientists to conduct their own meta-analyses but also improve their evaluation of published meta-analyses.},
  issue = {OCT},
  keywords = {Meta-analysis,Methods,Pre-registration,Primer,Publication bias,Statistics}
}

@article{randlesAsymptoticallyDistributionfreeTest1980,
  title = {An Asymptotically Distribution-Free Test for Symmetry versus Asymmetry},
  author = {Randles, Ronald H. and Fligner, Michael A. and Policello, George E. and Wolfe, Douglas A.},
  date = {1980},
  journaltitle = {Journal of the American Statistical Association},
  volume = {75},
  number = {369},
  pages = {168--172},
  publisher = {{Taylor \& Francis}},
  doi = {10/ggx9q9},
  file = {/Users/yosemite/Zotero/storage/ESC8FJYI/Randles et al. - 1980 - An asymptotically distribution-free test for symme.pdf;/Users/yosemite/Zotero/storage/EJPED3E2/01621459.1980.html}
}

@article{raykovMetaanalysisScaleReliability2013,
  title = {Meta-Analysis of Scale Reliability Using Latent Variable Modeling},
  author = {Raykov, Tenko and Marcoulides, George A.},
  date = {2013},
  journaltitle = {Structural Equation Modeling: A Multidisciplinary Journal},
  volume = {20},
  number = {2},
  pages = {338--353},
  publisher = {{Taylor \& Francis}},
  doi = {10/gh3mpb},
  file = {/Users/yosemite/Zotero/storage/9QBZCM8D/Raykov and Marcoulides - 2013 - Meta-analysis of scale reliability using latent va.pdf;/Users/yosemite/Zotero/storage/KAV4SZB2/10705511.2013.html}
}

@article{salganikSamplingEstimationHidden2004,
  title = {Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling},
  author = {Salganik, Matthew J. and Heckathorn, Douglas D.},
  date = {2004},
  journaltitle = {Sociological methodology},
  volume = {34},
  number = {1},
  pages = {193--240},
  publisher = {{Wiley Online Library}},
  doi = {10/bzv8kr},
  file = {/Users/yosemite/Zotero/storage/2QN6P6VJ/Salganik and Heckathorn - 2004 - Sampling and estimation in hidden populations usin.pdf;/Users/yosemite/Zotero/storage/XXDMLWFT/j.0081-1750.2004.00152.html}
}

@article{schwingshacklPerspectiveNutriGradeScoring2016,
  title = {Perspective: {{NutriGrade}}: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research},
  shorttitle = {Perspective},
  author = {Schwingshackl, Lukas and Knüppel, Sven and Schwedhelm, Carolina and Hoffmann, Georg and Missbach, Benjamin and Stelmach-Mardas, Marta and Dietrich, Stefan and Eichelmann, Fabian and Kontopanteils, Evangelos and Iqbal, Khalid},
  date = {2016},
  journaltitle = {Advances in Nutrition},
  volume = {7},
  number = {6},
  pages = {994--1004},
  publisher = {{Oxford University Press}},
  doi = {10/ghqzgr},
  file = {/Users/yosemite/Zotero/storage/CYRCTFW6/4568670.html;/Users/yosemite/Zotero/storage/U7U2MUDZ/4568670.html}
}

@book{wooldridgeEconometricAnalysisCross2002,
  ids = {Wooldridge2002,Wooldridge2002a,wooldridgeEconometricAnalysisCross2002a},
  title = {Econometric Analysis of Cross Section and Panel Data},
  author = {Wooldridge, Jeffrey M},
  date = {2002},
  number = {2},
  eprint = {1914185},
  eprinttype = {pmid},
  publisher = {{The MIT press}},
  issn = {09331719},
  doi = {10.1515/humr.2003.021}
}

@book{wooldridgeIntroductoryEconometricsModern2008,
  ids = {Wooldridge2008,Wooldridge2008a,wooldridgeIntroductoryEconometricsModern2008a,wooldridgeIntroductoryEconometricsModern2008b},
  title = {Introductory Econometrics: {{A}} Modern Approach},
  author = {Wooldridge, J M},
  date = {2008},
  publisher = {{South-Western Pub}},
  isbn = {0-324-58162-9}
}

@article{zazpeScopingReviewPaleolithic2020,
  title = {Scoping Review of {{Paleolithic}} Dietary Patterns: A Definition Proposal},
  shorttitle = {Scoping Review of {{Paleolithic}} Dietary Patterns},
  author = {Zazpe, Itziar and Martínez, J. Alfredo and Santiago, Susana and Carlos, Silvia and Zulet, M. Ángeles and Ruiz-Canela, Miguel},
  date = {2020},
  journaltitle = {Nutrition Research Reviews},
  pages = {1--29},
  publisher = {{Cambridge University Press}},
  keywords = {⛔ No DOI found},
  file = {/Users/yosemite/Zotero/storage/P9KJZ5V2/17CC27CC1A5E884916ADF43B01CC6345.html}
}