- Jan 2023
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www.cambridge.org www.cambridge.org
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How effective is second language incidental vocabulary learning? A meta-analysis
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- Nov 2022
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www.cisco.com www.cisco.com
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Meta-analysis statistical procedures provide a measure of the difference between two groups thatis expressed in quantitative units that are comparable across studies
The units are only "comparable across studies" if there weren't any mishaps (eg, clinical or methodological heterogeneity). If there's clinical heterogeneity, then we're probably comparing apples to oranges (ie, either participants, interventions, or outcomes are different among studies). If there's methodological heterogeneity, then that means there's a difference in study design
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cccrg.cochrane.org cccrg.cochrane.org
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PDF summary by Cochrane for planning a meta-analysis at the protocol stage. Gives guidance on how to anticipate & deal with various types of heterogeneity (clinical, methodological , & statistical). Link to paper
Covers - ways to assess heterogeneity - courses of action if substantial heterogeneity is found - methods to examine the influence of effect modifiers (either to explore heterogeneity or because there's good reason to suggest specific features of participants/interventions/study types will influence effects of the intervention. - methods include subgroup analyses & meta-regression
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Statistical heterogeneity is the term given to differences in the effects of interventions and comesabout because of clinical and/or methodological differences between studies (ie it is a consequenceof clinical and/or methodological heterogeneity). Although some variation in the effects ofinterventions between studies will always exist, whether this variation is greater than what isexpected by chance alone needs to be determined.
If the statistical heterogeneity is larger that what's expected by chance alone, then what does that imply? That there's either clinical or methodological heterogeneity within the pooled studies.
What's the impact of the presence of clinical heterogeneity? The statistical heterogeneity (variation of effects/results of interventions) becomes greater than what's expected by chance alone
What's happens if methodological heterogeneity is present? The statistical heterogeneity (variation of effects/results of interventions) becomes greater than what's expected by chance alone
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- Aug 2022
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jamanetwork.com jamanetwork.com
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Haas, J. W., Bender, F. L., Ballou, S., Kelley, J. M., Wilhelm, M., Miller, F. G., Rief, W., & Kaptchuk, T. J. (2022). Frequency of Adverse Events in the Placebo Arms of COVID-19 Vaccine Trials: A Systematic Review and Meta-analysis. JAMA Network Open, 5(1), e2143955. https://doi.org/10.1001/jamanetworkopen.2021.43955
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gidmk.medium.com gidmk.medium.com
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Nerd, G. M.-K. H. (2022, February 25). The Jury is Still Out on Ivermectin. Medium. https://gidmk.medium.com/the-jury-is-still-out-on-ivermectin-7d0a1895549
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- Apr 2022
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www.mdpi.com www.mdpi.com
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Nehal, K. R., Steendam, L. M., Campos Ponce, M., van der Hoeven, M., & Smit, G. S. A. (2021). Worldwide Vaccination Willingness for COVID-19: A Systematic Review and Meta-Analysis. Vaccines, 9(10), 1071. https://doi.org/10.3390/vaccines9101071
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- Mar 2022
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www.medrxiv.org www.medrxiv.org
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Lopez-Leon, S., Wegman-Ostrosky, T., Valle, N. C. A. del, Perelman, C., Sepulveda, R., Rebolledo, P. A., Cuapio, A., & Villapol, S. (2022). Long COVID in Children and Adolescents: A Systematic Review and Meta-analyses. (p. 2022.03.10.22272237). medRxiv. https://doi.org/10.1101/2022.03.10.22272237
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- Feb 2022
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twitter.com twitter.com
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Peter R. Hansen. (2022, February 3). Weighting, is the answer. The only study to find lockdowns ⬆️mortality is given weight 91.8% = 7390/8030, and then you get -0.2% to be the estimate. To summarize: -0.2% META-STUDY ESTIMATE is based on 91.8% ONE STUDY and 8.2% ALL OTHER STUDIES. https://t.co/j6e7ziPNAI [Tweet]. @ProfPHansen. https://twitter.com/ProfPHansen/status/1489366528956919808
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- Oct 2021
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www.pnas.org www.pnas.org
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Sah, P., Fitzpatrick, M. C., Zimmer, C. F., Abdollahi, E., Juden-Kelly, L., Moghadas, S. M., Singer, B. H., & Galvani, A. P. (2021). Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis. Proceedings of the National Academy of Sciences, 118(34). https://doi.org/10.1073/pnas.2109229118
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replicationnetwork.com replicationnetwork.com
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replicationnetwork. (2021, May 18). DUAN & REED: How Are Meta-Analyses Different Across Disciplines? The Replication Network. https://replicationnetwork.com/2021/05/18/duan-reed-how-are-meta-analyses-different-across-disciplines/
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- Sep 2021
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Okoli, G. N., Abou-Setta, A. M., Neilson, C. J., Chit, A., Thommes, E., & Mahmud, S. M. (2019). Determinants of Seasonal Influenza Vaccine Uptake Among the Elderly in the United States: A Systematic Review and Meta-Analysis. Gerontology and Geriatric Medicine, 5, 2333721419870345. https://doi.org/10.1177/2333721419870345
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twitter.com twitter.com
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Jonathan Robinson on Twitter. (n.d.). Twitter. Retrieved 6 September 2021, from https://twitter.com/jon_m_rob/status/1431734411335176199
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- Aug 2021
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jnnp.bmj.com jnnp.bmj.com
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Rogers, J. P., Watson, C. J., Badenoch, J., Cross, B., Butler, M., Song, J., Hafeez, D., Morrin, H., Rengasamy, E. R., Thomas, L., Ralovska, S., Smakowski, A., Sundaram, R. D., Hunt, C. K., Lim, M. F., Aniwattanapong, D., Singh, V., Hussain, Z., Chakraborty, S., … Rooney, A. G. (2021). Neurology and neuropsychiatry of COVID-19: A systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives. Journal of Neurology, Neurosurgery & Psychiatry, jnnp-2021-326405. https://doi.org/10.1136/jnnp-2021-326405
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- Jun 2021
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Parsons, J. E., Newby, K. V., & French, D. P. (2018). Do interventions containing risk messages increase risk appraisal and the subsequent vaccination intentions and uptake? – A systematic review and meta‐analysis. British Journal of Health Psychology, 23(4), 1084–1106. https://doi.org/10.1111/bjhp.12340
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- May 2021
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Lytras, T., Kopsachilis, F., Mouratidou, E., Papamichail, D., & Bonovas, S. (2015). Interventions to increase seasonal influenza vaccine coverage in healthcare workers: A systematic review and meta-regression analysis. Human Vaccines & Immunotherapeutics, 12(3), 671–681. https://doi.org/10.1080/21645515.2015.1106656
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psyarxiv.com psyarxiv.com
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Racine, Nicole, Rachel Eirich, Jessica Cookee, Jenney Zhu, Paolo Pador, Nicole Dunnewold, and Sheri Madigan. ‘When the Bough Breaks: A Systematic Review and Meta-Analysis of Mental Health Symptoms in Mothers of Young Children during the COVID-19 Pandemic’. PsyArXiv, 7 May 2021. https://doi.org/10.31234/osf.io/u8pnh.
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Brewer, N. T., DeFrank, J. T., & Gilkey, M. B. (2016). Anticipated Regret and Health Behavior: A Meta-Analysis. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association, 35(11), 1264–1275. https://doi.org/10.1037/hea0000294
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open.lnu.se open.lnu.se
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Niemeyer, H., Aert, R. C. M. van, Schmid, S., Uelsmann, D., Knaevelsrud, C., & Schulte-Herbrueggen, O. (2020). Publication Bias in Meta-Analyses of Posttraumatic Stress Disorder Interventions. Meta-Psychology, 4. https://doi.org/10.15626/MP.2018.884
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www.thelancet.com www.thelancet.com
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Chen, X., Chen, Z., Azman, A. S., Deng, X., Sun, R., Zhao, Z., Zheng, N., Chen, X., Lu, W., Zhuang, T., Yang, J., Viboud, C., Ajelli, M., Leung, D. T., & Yu, H. (2021). Serological evidence of human infection with SARS-CoV-2: A systematic review and meta-analysis. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(21)00026-7
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- Mar 2021
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www.medrxiv.org www.medrxiv.org
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Ioannidis, John P. A. (2020) ‘The Infection Fatality Rate of COVID-19 Inferred from Seroprevalence Data’. MedRxiv. https://doi.org/10.1101/2020.05.13.20101253.
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www.thelancet.com www.thelancet.com
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Peiffer-Smadja, Nathan, Mathieu E. Rebeaud, Anthony Guihur, Yahya Mahamat-Saleh, and Thibault Fiolet. ‘Hydroxychloroquine and COVID-19: A Tale of Populism and Obscurantism’. The Lancet Infectious Diseases 0, no. 0 (13 November 2020). https://doi.org/10.1016/S1473-3099(20)30866-5.
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psyarxiv.com psyarxiv.com
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Gligorić, Vukašin, Allard Feddes, and Bertjan Doosje. ‘Political Bullshit Receptivity and Its Correlates: A Cross-Cultural Validation of the Concept’. PsyArXiv, 27 October 2020. https://doi.org/10.31234/osf.io/u9pe3.
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twitter.com twitter.com
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ReconfigBehSci. (2020, October 27). RT @JASPStats: How to perform Robust Bayesian Meta-Analysis in JASP. To learn more, have a look at the tutorial video: Https://t.co/4fmkLEH… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1321387314887708672
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- Feb 2021
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link.springer.com link.springer.com
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Levin, A. T., Hanage, W. P., Owusu-Boaitey, N., Cochran, K. B., Walsh, S. P., & Meyerowitz-Katz, G. (2020). Assessing the age specificity of infection fatality rates for COVID-19: Systematic review, meta-analysis, and public policy implications. European Journal of Epidemiology, 35(12), 1123–1138. https://doi.org/10.1007/s10654-020-00698-1
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psyarxiv.com psyarxiv.com
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McCarrick, D., Prestwich, A., Prudenzi, A., & O’Connor, D. (2021). Health Effects of Psychological Interventions for Worry and Rumination: A Meta-analysis. PsyArXiv. https://doi.org/10.31234/osf.io/bsf9e
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psyarxiv.com psyarxiv.com
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Tomfohr-Madsen, L., Giesbrecht, G., Lebel, C., Racine, N., & Madigan, S. (2021). Depression and Anxiety in Pregnancy during COVID-19: A Rapid Review and Meta-Analysis. PsyArXiv. https://doi.org/10.31234/osf.io/n8b7x
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psyarxiv.com psyarxiv.com
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Spadaro, G., Tiddi, I., Columbus, S., Jin, S., Teije, A. t., & Balliet, D. (2020, October 28). The Cooperation Databank. https://doi.org/10.31234/osf.io/rveh3
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- Jan 2021
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pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
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Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26(2):136–45. doi:10.1037/0278-6133.26.2.136
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www.apa.org www.apa.org
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Weingarten. E., Chen. Q., McAdams., Yi. J., (2016). From Primed Concepts to Action: A Meta-Analysis of the BehavioralEffects of Incidentally Presented Words. Psychological Bulletin 2016 (142) pp 472-497.
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Fischer, R., & Karl, J. (2020). Predicting behavioral intentions to prevent or mitigate COVID-19: A meta-analysis. PsyArXiv. https://doi.org/10.31234/osf.io/ek69g
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- Sep 2020
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academic.oup.com academic.oup.com
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Offeddu, V., Yung, C. F., Low, M. S. F., & Tam, C. C. (2017). Effectiveness of Masks and Respirators Against Respiratory Infections in Healthcare Workers: A Systematic Review and Meta-Analysis. Clinical Infectious Diseases, 65(11), 1934–1942. https://doi.org/10.1093/cid/cix681
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psycnet.apa.org psycnet.apa.org
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Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
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www.bmj.com www.bmj.com
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Siemieniuk, R. A., Bartoszko, J. J., Ge, L., Zeraatkar, D., Izcovich, A., Kum, E., Pardo-Hernandez, H., Rochwerg, B., Lamontagne, F., Han, M. A., Liu, Q., Agarwal, A., Agoritsas, T., Chu, D. K., Couban, R., Darzi, A., Devji, T., Fang, B., Fang, C., … Brignardello-Petersen, R. (2020). Drug treatments for covid-19: Living systematic review and network meta-analysis. BMJ, 370. https://doi.org/10.1136/bmj.m2980
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- Aug 2020
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bjgp.org bjgp.org
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Smith, C. F., Drew, S., Ziebland, S., & Nicholson, B. D. (2020). Understanding the role of GPs’ gut feelings in diagnosing cancer in primary care: A systematic review and meta-analysis of existing evidence. British Journal of General Practice, 70(698), e612–e621. https://doi.org/10.3399/bjgp20X712301
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journals.sagepub.com journals.sagepub.com
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Hohn, R. E., Slaney, K. L., & Tafreshi, D. (2020). An Empirical Review of Research and Reporting Practices in Psychological Meta-Analyses. Review of General Psychology, 1089268020918844. https://doi.org/10.1177/1089268020918844
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psyarxiv.com psyarxiv.com
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Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
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www.thelancet.com www.thelancet.com
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Mohammadi, A., Esmaeilzadeh, E., Li, Y., Bosch, R. J., & Li, J. Z. (2020). SARS-CoV-2 detection in different respiratory sites: A systematic review and meta-analysis. EBioMedicine, 0(0). https://doi.org/10.1016/j.ebiom.2020.102903
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Cevik, M., Tate, M., Lloyd, O., Maraolo, A. E., Schafers, J., & Ho, A. (2020). SARS-CoV-2, SARS-CoV-1 and MERS-CoV viral load dynamics, duration of viral shedding and infectiousness: A living systematic review and meta-analysis. MedRxiv, 2020.07.25.20162107. https://doi.org/10.1101/2020.07.25.20162107
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www.nber.org www.nber.org
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Levin, A. T., Cochran, K. B., & Walsh, S. P. (2020). Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Meta-Analysis & Public Policy Implications (Working Paper No. 27597; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27597
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Walter, N., Brooks, J. J., Saucier, C. J., & Suresh, S. (2020). Evaluating the Impact of Attempts to Correct Health Misinformation on Social Media: A Meta-Analysis. Health Communication, 0(0), 1–9. https://doi.org/10.1080/10410236.2020.1794553
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- Jul 2020
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Su, Q., Hu, J., Lin, H., Zhang, Z., Zhu, E. C., Zhang, C., Wang, D., Gao, Z., & Cao, B. (2020). Prevalence and risks of severe events for cancer patients with COVID-19 infection: A systematic review and meta-analysis. MedRxiv, 2020.06.23.20136200. https://doi.org/10.1101/2020.06.23.20136200
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psyarxiv.com psyarxiv.com
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Olsson-Collentine, A., van Assen, M. A. L. M., & Wicherts, J. M. (2020). Postprint—Heterogeneity in direct replications in psychology and its association with effect size [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m23v4
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Du, H., Jiang, G., & Ke, Z. (2020). A Bootstrap Based Between-Study Heterogeneity Test in Meta-Analysis [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/de4g9
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Edgcumbe, D. (2020). PrePrint Version (Edgcumbe, 2020): The developmental trajectory of open-mindedness: from 18 to 87-years of age. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fnrmv
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psyarxiv.com psyarxiv.com
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Cheung, M. W.-L. (2020). Meta-Analytic Structural Equation Modeling [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/epsqt
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psyarxiv.com psyarxiv.com
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Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2020). Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u4cns
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psyarxiv.com psyarxiv.com
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Atoui, S., Chevance, G., Romain, A. J., Kingsbury, C., Lachance, J., & Bernard, P. (2020, June 17). Daily associations between sleep and physical activity: A systematic review and meta-analysis. https://doi.org/10.31234/osf.io/ezusb
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www.thelancet.com www.thelancet.com
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Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., Lotfi, T., Loeb, M., Hajizadeh, A., Bak, A., Izcovich, A., Cuello-Garcia, C. A., Chen, C., Harris, D. J., Borowiack, E., … Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31142-9
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www.thelancet.com www.thelancet.com
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Chu, D., Akl, E., El-Harakeh, A., Bognanni, A., Lotf, T., Loeb, M., ... & Chen, C. (2020). Physical Distancing, Face Masks, and Eye Protection to Prevent Person-Person COVID-19 Transmission: A Systematic Review and Meta-Analysis.
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- May 2020
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psyarxiv.com psyarxiv.com
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Hanel, P. H. P. (2020). Conducting High Impact Research With Limited Financial Resources (While Working From Home) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s3fcu
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www.medrxiv.org www.medrxiv.org
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Buitrago-Garcia, D. C., Egli-Gany, D., Counotte, M. J., Hossmann, S., Imeri, H., Salanti, G., & Low, N. (2020). The role of asymptomatic SARS-CoV-2 infections: Rapid living systematic review and meta-analysis [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.25.20079103
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academic.oup.com academic.oup.com
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While somewhat modest in size, the literature on chronic tolerance to nicotine in humans is reasonably consistent in showing clear evidence of tolerance to subjective mood effects but little or no tolerance to cardiovascular, performance or other nicotine effects
This is what I'd expect for tobacco, but it tells me little about nicotine. Most of the subjective effects are not from tobacco, so It's still plausible that nicotine does not develop tolerance. Indeed, the effects that don't go away are the effects expected from nicotine.
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- Apr 2020
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Moyers, S. A., & Hagger, M. S. (2020, April 20). Physical activity and sense of coherence: A meta-analysis. https://doi.org/10.31234/osf.io/d9e3k
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psyarxiv.com psyarxiv.com
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Fischer, R., Karl, J. A., Bortolini, T., Zilberberg, M., Robinson, K., Rabelo, A. L. A., … Mattos, P. (2020, April 22). Rapid review and meta-meta-analysis of self-guided interventions to address anxiety, depression and stress during COVID-19 social distancing. https://doi.org/10.31234/osf.io/ndyf4
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www.medrxiv.org www.medrxiv.org
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Jefferson, T., Jones, M., Al Ansari, L. A., Bawazeer, G., Beller, E., Clark, J., Conly, J., Del Mar, C., Dooley, E., Ferroni, E., Glasziou, P., Hoffman, T., Thorning, S., & Van Driel, M. (2020). Physical interventions to interrupt or reduce the spread of respiratory viruses. Part 1 - Face masks, eye protection and person distancing: Systematic review and meta-analysis [Preprint]. Public and Global Health. https://doi.org/10.1101/2020.03.30.20047217
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- Jul 2018
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f1000research.com f1000research.com
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Amendments from Version 1
For a blog post commenting on an earlier draft of this article (many points raised remain relevant) see here.
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URL
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- Feb 2018
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science.sciencemag.org science.sciencemag.org
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Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap
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- Apr 2016
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blog.enkerli.com blog.enkerli.com
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spark even more discussion.
That part never worked. But maybe these annotations will? That’d be neat.
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