- Jan 2023
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s4be.cochrane.org s4be.cochrane.org
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High-level view of the 3 different types of heterogeneity (clinical, methodological, statistical). I used these definitions as the basis for some Anki cards
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- Feb 2022
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assets.publishing.service.gov.uk assets.publishing.service.gov.uk
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Academics: Viral Evolution Scenarios, 10 February 2022. (n.d.). GOV.UK. Retrieved February 14, 2022, from https://www.gov.uk/government/publications/academics-viral-evolution-scenarios-10-february-2022
Tags
- waning immunity
- transmissibility
- infection
- immune escape
- vaccination
- protection
- scenario
- therapeutic
- vaccine efficacy
- COVID-19
- UK
- variant
- antigenic escape
- antiviral drug resistance
- surveillance
- heterogeneity
- prediction
- viral evolution
- immunity
- vaccine
- is:report
- lang:en
- severity
- testing
Annotators
URL
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- Dec 2021
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luhmann.surge.sh luhmann.surge.sh
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Usually it is more fruitful to look for formulations of problems that relate heterogeneous things with each other.
A great quote, but this is likely a nebulous statement to those with out the experience of practice. Definitely worth expanding on this idea to give it more detail.
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- Jul 2021
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www.nature.com www.nature.com
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Collier, D. A., Ferreira, I. A. T. M., Kotagiri, P., Datir, R., Lim, E., Touizer, E., Meng, B., Abdullahi, A., Elmer, A., Kingston, N., Graves, B., Gresley, E. L., Caputo, D., Bergamaschi, L., Smith, K. G. C., Bradley, J. R., Ceron-Gutierrez, L., Cortes-Acevedo, P., Barcenas-Morales, G., … Gupta, R. K. (2021). Age-related immune response heterogeneity to SARS-CoV-2 vaccine BNT162b2. Nature, 1–9. https://doi.org/10.1038/s41586-021-03739-1
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- Oct 2020
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www.theguardian.com www.theguardian.com
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Long Covid: What we know so far. (2020, October 15). The Guardian. http://www.theguardian.com/world/2020/oct/15/long-covid-what-we-know-so-far
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iaap-journals.onlinelibrary.wiley.com iaap-journals.onlinelibrary.wiley.com
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Tong, K. K., Chen, J. H., Yu, E. W., & Wu, A. M. S. (n.d.). Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample. Applied Psychology: Health and Well-Being, n/a(n/a). https://doi.org/10.1111/aphw.12230
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13620/
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13625/
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13629/
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- Sep 2020
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osf.io osf.io
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Hennessy, E. A., Acabchuk, R., Arnold, P. A., Dunn, A. G., Foo, Y. Z., Johnson, B. T., Geange, S. R., Haddaway, N. R., Nakagawa, S., Mapanga, W., Mengersen, K., Page, M. J., Sánchez-Tójar, A., Welch, V., & McGuinness, L. A. (2020). Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact [Preprint]. MetaArXiv. https://doi.org/10.31222/osf.io/ptg9j
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www.medrxiv.org www.medrxiv.org
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Friston, K., Costello, A., & Pillay, D. (2020). Dark matter, second waves and epidemiological modelling. MedRxiv, 2020.09.01.20185876. https://doi.org/10.1101/2020.09.01.20185876
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elifesciences.org elifesciences.org
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Eyre, D. W., Lumley, S. F., O’Donnell, D., Campbell, M., Sims, E., Lawson, E., Warren, F., James, T., Cox, S., Howarth, A., Doherty, G., Hatch, S. B., Kavanagh, J., Chau, K. K., Fowler, P. W., Swann, J., Volk, D., Yang-Turner, F., Stoesser, N., … Walker, T. M. (2020). Differential occupational risks to healthcare workers from SARS-CoV-2 observed during a prospective observational study. ELife, 9, e60675. https://doi.org/10.7554/eLife.60675
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- Aug 2020
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science.sciencemag.org science.sciencemag.org
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Mateus, J., Grifoni, A., Tarke, A., Sidney, J., Ramirez, S. I., Dan, J. M., Burger, Z. C., Rawlings, S. A., Smith, D. M., Phillips, E., Mallal, S., Lammers, M., Rubiro, P., Quiambao, L., Sutherland, A., Yu, E. D., Antunes, R. da S., Greenbaum, J., Frazier, A., … Weiskopf, D. (2020). Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans. Science. https://doi.org/10.1126/science.abd3871
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covid-19.iza.org covid-19.iza.org
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Dynamics of Social Mobility during the COVID-19 Pandemic in Canada. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13376/
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Xu, G., Qi, F., Li, H., Yang, Q., Wang, H., Wang, X., Liu, X., Zhao, J., Liao, X., Liu, Y., Amit, I., Liu, L., Zhang, S., & Zhang, Z. (2020). The differential immune responses to COVID-19 in peripheral and lung revealed by single-cell RNA sequencing. MedRxiv, 2020.08.15.20175638. https://doi.org/10.1101/2020.08.15.20175638
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covid-19.iza.org covid-19.iza.org
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When Do Shelter-In-Place Orders Fight COVID-19 Best? Policy Heterogeneity across States and Adoption Time. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 7, 2020, from https://covid-19.iza.org/publications/dp13190/
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www.nber.org www.nber.org
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Fan, Y., Orhun, A. Y., & Turjeman, D. (2020). Heterogeneous Actions, Beliefs, Constraints and Risk Tolerance During the COVID-19 Pandemic (Working Paper No. 27211; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27211
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Althouse, B. M., Wallace, B., Case, B., Scarpino, S. V., Berdahl, A. M., White, E. R., & Hebert-Dufresne, L. (2020). The unintended consequences of inconsistent pandemic control policies. ArXiv:2008.09629 [Physics, q-Bio]. http://arxiv.org/abs/2008.09629
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Sun, K., Wang, W., Gao, L., Wang, Y., Luo, K., Ren, L., Zhan, Z., Chen, X., Zhao, S., Huang, Y., Sun, Q., Liu, Z., Litvinova, M., Vespignani, A., Ajelli, M., Viboud, C., & Yu, H. (2020). Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. MedRxiv, 2020.08.09.20171132. https://doi.org/10.1101/2020.08.09.20171132
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www.nber.org www.nber.org
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Gregory, V., Menzio, G., & Wiczer, D. G. (2020). Pandemic Recession: L or V-Shaped? (Working Paper No. 27105; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27105
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www.nber.org www.nber.org
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Glaeser, E. L., Gorback, C. S., & Redding, S. J. (2020). How Much does COVID-19 Increase with Mobility? Evidence from New York and Four Other U.S. Cities (Working Paper No. 27519; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27519
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www.nber.org www.nber.org
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Baker, S. R., Farrokhnia, R. A., Meyer, S., Pagel, M., & Yannelis, C. (2020). Income, Liquidity, and the Consumption Response to the 2020 Economic Stimulus Payments (Working Paper No. 27097; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27097
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www.nber.org www.nber.org
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Baker, S. R., Farrokhnia, R. A., Meyer, S., Pagel, M., & Yannelis, C. (2020). How Does Household Spending Respond to an Epidemic? Consumption During the 2020 COVID-19 Pandemic (Working Paper No. 26949; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26949
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covid-19.iza.org covid-19.iza.org
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An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13265/
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covid-19.iza.org covid-19.iza.org
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Partial Lockdown and the Spread of COVID-19: Lessons from the Italian Case. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13375/
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covid-19.iza.org covid-19.iza.org
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Work That Can Be Done from Home: Evidence on Variation within and across Occupations and Industries. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13374/
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covid-19.iza.org covid-19.iza.org
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The Lockdown Impact on Unemployment for Heterogeneous Workers. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13439/
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covid-19.iza.org covid-19.iza.org
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COVID-19 and Mental Health Deterioration among BAME Groups in the UK. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13503/
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journals.plos.org journals.plos.org
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Aleta, A., Arruda, G. F. de, & Moreno, Y. (2020). Data-driven contact structures: From homogeneous mixing to multilayer networks. PLOS Computational Biology, 16(7), e1008035. https://doi.org/10.1371/journal.pcbi.1008035
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Akbarpour, M., Cook, C., Marzuoli, A., Mongey, S., Nagaraj, A., Saccarola, M., Tebaldi, P., Vasserman, S., & Yang, H. (2020). Socioeconomic Network Heterogeneity and Pandemic Policy Response (Working Paper No. 27374; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27374
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- Jul 2020
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www.nber.org www.nber.org
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Aucejo, E. M., French, J. F., Araya, M. P. U., & Zafar, B. (2020). The Impact of COVID-19 on Student Experiences and Expectations: Evidence from a Survey (Working Paper No. 27392; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27392
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www.nber.org www.nber.org
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Dave, D. M., Friedson, A. I., Matsuzawa, K., & Sabia, J. J. (2020). When Do Shelter-in-Place Orders Fight COVID-19 Best? Policy Heterogeneity Across States and Adoption Time (Working Paper No. 27091; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27091
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www.nber.org www.nber.org
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Rampini, A. A. (2020). Sequential Lifting of COVID-19 Interventions with Population Heterogeneity (Working Paper No. 27063; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27063
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Ellison, G. (2020). Implications of Heterogeneous SIR Models for Analyses of COVID-19 (Working Paper No. 27373; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27373
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www.nber.org www.nber.org
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Granja, J., Makridis, C., Yannelis, C., & Zwick, E. (2020). Did the Paycheck Protection Program Hit the Target? (Working Paper No. 27095; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27095
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marginalrevolution.com marginalrevolution.com
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Affairs, C., & Medicine. (2020, July 7). Southeast Asia coronavirus update. Marginal REVOLUTION. https://marginalrevolution.com/marginalrevolution/2020/07/southeast-asia-coronavirus-update.html
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arxiv.org arxiv.org
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Allard, A., Moore, C., Scarpino, S. V., Althouse, B. M., & Hébert-Dufresne, L. (2020). The role of directionality, heterogeneity and correlations in epidemic risk and spread. ArXiv:2005.11283 [Physics, q-Bio]. http://arxiv.org/abs/2005.11283
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Perrott, D. (2020, May 22). Exploring the Valley’s of the Applied Behavioural Science Landscape. Medium. https://medium.com/@DavePerrott/exploring-the-valleys-of-the-applied-behavioural-science-landscape-a8b8ed53e58a
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Althouse, B. M., Wenger, E. A., Miller, J. C., Scarpino, S. V., Allard, A., Hébert-Dufresne, L., & Hu, H. (2020). Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2. ArXiv:2005.13689 [Physics, q-Bio]. http://arxiv.org/abs/2005.13689
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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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twitter.com twitter.com
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A Marm Kilpatrick on Twitter: “What is #herdimmunity threshold for #COVID19? A topic of much discussion due to large uncertainty & huge consequences for long term impact. New paper illustrates 1 key aspect that can reduce it substantially (spoiler: we still don’t know value). Thread. https://t.co/Sgrg1yrlOq” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/diseaseecology/status/1275595167936868352
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www.medrxiv.org www.medrxiv.org
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Gomes, M. G. M., Corder, R. M., King, J. G., Langwig, K. E., Souto-Maior, C., Carneiro, J., Goncalves, G., Penha-Goncalves, C., Ferreira, M. U., & Aguas, R. (2020). Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold. MedRxiv, 2020.04.27.20081893. https://doi.org/10.1101/2020.04.27.20081893
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psyarxiv.com psyarxiv.com
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Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
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science.sciencemag.org science.sciencemag.org
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Britton, T., Ball, F., & Trapman, P. (2020). A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science. https://doi.org/10.1126/science.abc6810
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www.nature.com www.nature.com
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McAvoy, A., Allen, B., & Nowak, M. A. (2020). Social goods dilemmas in heterogeneous societies. Nature Human Behaviour, 1–13. https://doi.org/10.1038/s41562-020-0881-2
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- May 2020
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psyarxiv.com psyarxiv.com
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Nunes, A., Trappenberg, T., & Alda, M. (2020). The Definition and Measurement of Heterogeneity. https://doi.org/10.31234/osf.io/3hykf
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psycnet.apa.org psycnet.apa.org
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Schauer, J. M., & Hedges, L. V. (2020). Assessing heterogeneity and power in replications of psychological experiments. Psychological Bulletin. Advance online publication. https://doi.org/10.1037/bul0000232
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journals.plos.org journals.plos.org
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Rivkind, A., Schreier, H., Brenner, N., & Barak, O. (2020). Scale free topology as an effective feedback system. PLOS Computational Biology, 16(5), e1007825. https://doi.org/10.1371/journal.pcbi.1007825
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- Dec 2019
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jbioleng.biomedcentral.com jbioleng.biomedcentral.com
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A single transformant may have a mutation at a low level that will eventually sweep through the population
How does transforming a pure plasmid (miniprep) produce a mixed population?
- Is a single colony on the transformation plate not really clonal due to evolution occurring in growth from the single founder cell?
- And also the outgrowth steo prior to plating is introducing additional variation that differentiates different colonies
- Hence adding these two statements together, picking 3 colonies from a plate streaked from a glycerol stock (derived from a clonal population) has lower variability than 3 colonies picked from a fresh transformation?
Does this make any suggestion of using one or the other method for generating independent biological replicates?
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- Sep 2019
- Aug 2019
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www.nature.com www.nature.com
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Here, we show how three phenomena—Simpson’s paradox, context-dependence, and nonlinear averaging—can lead to erroneous conclusions about population parameters and species interactions when samples contain heterogeneous mixtures of populations or communities.
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These issues can be overcome by measuring and accounting for spatial heterogeneity at very small scales
Tags
Annotators
URL
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- May 2019
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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in most cases, the molecular mechanisms that underlie heterogeneity are not defined
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