- Oct 2020
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twitter.com twitter.com
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Health Nerd on Twitter. (n.d.). Twitter. Retrieved October 17, 2020, from https://twitter.com/GidMK/status/1316511734115385344
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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/dp13640/
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- Sep 2020
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www.medrxiv.org www.medrxiv.org
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Gardner, J. M., Willem, L., Wijngaart, W. van der, Kamerlin, S. C. L., Brusselaers, N., & Kasson, P. (2020). Intervention strategies against COVID-19 and their estimated impact on Swedish healthcare capacity. MedRxiv, 2020.04.11.20062133. https://doi.org/10.1101/2020.04.11.20062133
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www.sciencedirect.com www.sciencedirect.com
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Gignac, G. E., & Zajenkowski, M. (2020). The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data. Intelligence, 80, 101449. https://doi.org/10.1016/j.intell.2020.101449
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ctbergstrom.com ctbergstrom.com
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Bergstrom, T., Bergstrom, C. T., & Li, H. (n.d.). Frequency and accuracy of proactive testing for COVID-19. 20.
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epjdatascience.springeropen.com epjdatascience.springeropen.com
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Adelani, D. I., Kobayashi, R., Weber, I., & Grabowicz, P. A. (2020). Estimating community feedback effect on topic choice in social media with predictive modeling. EPJ Data Science, 9(1), 1–23. https://doi.org/10.1140/epjds/s13688-020-00243-w
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- Aug 2020
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www.nationalgeographic.com www.nationalgeographic.com
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Measure the risk of airborne COVID-19 in your office, classroom, or bus ride. (2020, August 11). Science. https://www.nationalgeographic.com/science/2020/08/how-to-measure-risk-airborne-coronavirus-your-office-classroom-bus-ride-cvd/
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journals.plos.org journals.plos.org
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Aiken, E. L., McGough, S. F., Majumder, M. S., Wachtel, G., Nguyen, A. T., Viboud, C., & Santillana, M. (2020). Real-time estimation of disease activity in emerging outbreaks using internet search information. PLOS Computational Biology, 16(8), e1008117. https://doi.org/10.1371/journal.pcbi.1008117
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COVID-19 Lockdowns and Decline in Traffic Related Deaths and Injuries. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 30, 2020, from https://covid-19.iza.org/publications/dp13278/
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psyarxiv.com psyarxiv.com
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Ballard, Timothy, Ashley Luckman, and Emmanouil Konstantinidis. ‘How Meaningful Are Parameter Estimates from Models of Inter-Temporal Choice?’, 21 August 2020. https://doi.org/10.31234/osf.io/mvk67.
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Du, Z., Javan, E., Nugent, C., Cowling, B. J., & Meyers, L. A. (2020). Using the COVID-19 to influenza ratio to estimate early pandemic spread in Wuhan, China and Seattle, US. EClinicalMedicine, 0(0). https://doi.org/10.1016/j.eclinm.2020.100479
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Lo, A. W., Siah, K. W., & Wong, C. H. (2020). Estimating Probabilities of Success of Vaccine and Other Anti-Infective Therapeutic Development Programs (Working Paper No. 27176; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27176
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Young, J.-G., Cantwell, G. T., & Newman, M. E. J. (2020). Robust Bayesian inference of network structure from unreliable data. ArXiv:2008.03334 [Physics, Stat]. http://arxiv.org/abs/2008.03334
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goodjudgment.io goodjudgment.io
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COVID Recovery Dashboard. Retrieved from https://goodjudgment.io/covid-recovery/#1363 on 12/08/2020
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www.nber.org www.nber.org
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Augenblick, N., Kolstad, J. T., Obermeyer, Z., & Wang, A. (2020). Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning (Working Paper No. 27457; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27457
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Manski, C. F., & Molinari, F. (2020). Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem (Working Paper No. 27023; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27023
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www.cdc.gov www.cdc.gov
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Razzaghi, H. (2020). Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness—United States, 2018. MMWR. Morbidity and Mortality Weekly Report, 69. https://doi.org/10.15585/mmwr.mm6929a1
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jamanetwork.com jamanetwork.com
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Havers, F. P., Reed, C., Lim, T., Montgomery, J. M., Klena, J. D., Hall, A. J., Fry, A. M., Cannon, D. L., Chiang, C.-F., Gibbons, A., Krapiunaya, I., Morales-Betoulle, M., Roguski, K., Rasheed, M. A. U., Freeman, B., Lester, S., Mills, L., Carroll, D. S., Owen, S. M., … Thornburg, N. J. (2020). Seroprevalence of Antibodies to SARS-CoV-2 in 10 Sites in the United States, March 23-May 12, 2020. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.4130
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Deregulation in a Time of Pandemic: Does Pollution Increase Coronavirus Cases or Deaths?. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13231/
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covid-19.iza.org covid-19.iza.org
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Modelling the Distributional Impact of the COVID-19 Crisis. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13235/
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Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 29, 2020, from https://covid-19.iza.org/publications/dp13452/
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U.S. Economy Shrinks at Record 32.9% Pace in Second Quarter. (2020, July 30). Bloomberg.Com. https://www.bloomberg.com/news/articles/2020-07-30/u-s-economy-shrinks-at-record-32-9-pace-in-second-quarter
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- Jul 2020
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Hortaçsu, A., Liu, J., & Schwieg, T. (2020). Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19 (Working Paper No. 27028; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27028
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Atkeson, A., Kopecky, K., & Zha, T. (2020). Estimating and Forecasting Disease Scenarios for COVID-19 with an SIR Model (Working Paper No. 27335; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27335
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Atkeson, A. (2020). How Deadly Is COVID-19? Understanding The Difficulties With Estimation Of Its Fatality Rate (Working Paper No. 26965; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26965
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Fernández-Villaverde, J., & Jones, C. I. (2020). Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities (Working Paper No. 27128; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27128
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adams, jimi, & Light, R. (2020). What Role Does Collaboration have in Responding to COVID-19? [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jqwyr
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Golding, N., Russell, T. W., Abbott, S., Hellewell, J., Pearson, C. A. B., Zandvoort, K. van, Jarvis, C. I., Gibbs, H., Liu, Y., Eggo, R. M., Edmunds, J. W., & Kucharski, A. J. (2020). Reconstructing the global dynamics of under-ascertained COVID-19 cases and infections. MedRxiv, 2020.07.07.20148460. https://doi.org/10.1101/2020.07.07.20148460
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Weinberger, D. M., Chen, J., Cohen, T., Crawford, F. W., Mostashari, F., Olson, D., Pitzer, V. E., Reich, N. G., Russi, M., Simonsen, L., Watkins, A., & Viboud, C. (2020). Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2020.3391
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Kulu, H., & Dorey, P. (2020). Infection Rates from Covid-19 in Great Britain by Geographical Units: A Model-based Estimation from Mortality Data [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/84f3e
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Davis, J. T., Chinazzi, M., Perra, N., Mu, K., Piontti, A. P. y, Ajelli, M., Dean, N. E., Gioannini, C., Litvinova, M., Merler, S., Rossi, L., Sun, K., Xiong, X., Halloran, M. E., Longini, I. M., Viboud, C., & Vespignani, A. (2020). Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA. MedRxiv, 2020.07.06.20140285. https://doi.org/10.1101/2020.07.06.20140285
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- Jun 2020
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www.sciencedirect.com www.sciencedirect.com
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Rosenberg, E. S., Tesoriero, J. M., Rosenthal, E. M., Chung, R., Barranco, M. A., Styer, L. M., Parker, M. M., John Leung, S.-Y., Morne, J. E., Greene, D., Holtgrave, D. R., Hoefer, D., Kumar, J., Udo, T., Hutton, B., & Zucker, H. A. (2020). Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York. Annals of Epidemiology. https://doi.org/10.1016/j.annepidem.2020.06.004
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MacFarlane, D., Hurlstone, M. J., & Ecker, U. K. H. (2020, April 17). Countering Demand for Ineffective Health Remedies: Do Consumers Respond to Risks, Lack of Benefits, or Both?. https://doi.org/10.31234/osf.io/xqckm
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Tsolaki, Vasiliki, George E. Zakynthinos, and Dimosthenis Makris. ‘The ARDSnet Protocol May Be Detrimental in COVID-19’. Critical Care 24, no. 1 (December 2020): 351. https://doi.org/10.1186/s13054-020-03081-4.
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Friston KJ, Parr T, Zeidman P et al. Dynamic causal modelling of COVID-19 [version 1; peer review: awaiting peer review]. Wellcome Open Res 2020, 5:89 (https://doi.org/10.12688/wellcomeopenres.15881.1)
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Li, Z., Phillips, J., & Durgin, F. H. (2011). The underestimation of egocentric distance: Evidence from frontal matching tasks. Attention, Perception, & Psychophysics, 73(7), 2205. https://doi.org/10.3758/s13414-011-0170-2
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Efron, B. (2020). Prediction, Estimation, and Attribution. Journal of the American Statistical Association, 115(530), 636–655. https://doi.org/10.1080/01621459.2020.1762613
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Boulesteix, A., Strobl, C. Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. BMC Med Res Methodol 9, 85 (2009). https://doi.org/10.1186/1471-2288-9-85
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- May 2020
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter
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www.thelancet.com www.thelancet.com
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Graeden, E., Carlson, C., & Katz, R. (2020). Answering the right questions for policymakers on COVID-19. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30191-1
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twitter.com twitter.com
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Katherine Milkman en Twitter: “Overconfidence is a pernicious bias, even in experts. It’s astounding how few experts’’ confidence intervals included the correct estimate of #COVID19 infections in the US by 3/29 when forecasting for just two weeks in the future. (of course, non-expert estimates are even worse) https://t.co/pa6oMDp2wV" / Twitter.” (n.d.). Twitter. Retrieved April 17, 2020, from https://twitter.com/katy_milkman/status/1244668082062348291
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www.nytimes.com www.nytimes.com
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Bui, Q., Katz, J., Parlapiano, A., & Sanger-Katz, M. (2020, April 22). What 5 Coronavirus Models Say the Next Month Will Look Like. The New York Times. https://www.nytimes.com/interactive/2020/04/22/upshot/coronavirus-models.html
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- May 2017
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news.ycombinator.com news.ycombinator.com
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"I don't have a system and need to build one."
It's a POC - GSD and most importantly see what sticks.
Tags
Annotators
URL
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dopeboy.github.io dopeboy.github.io
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($20*3)-($20*3*.1) = $54
10% of $2000(cost of camer) * 3days = Rental Price
Rental Price - Commission = Rental Made This guy totally forgot taxes here.... :)
54$ for 3 days 365 days a year about 50 % usage so roughly 180 days. $54 for 3 days $? for 180 days = $3240 about 740$ profit per year for a $2000 investment if he's 50% utilized over the year.
Camera's Man this guy needed to crunch some more numbers. Camera's have compatibility issues....
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- May 2016
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www.agileconnection.com www.agileconnection.com
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The team used a whiteboard with task cards, stand-up meetings, weekly iterations, and prioritization. They even estimated their work, measured flow, and held retrospectives.
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