arXiv: Other Statistics
Papers 304
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We discuss the role that the null hypothesis should play in the construction of a test statistic used to make a decision about that hypothesis. To construct the test statistic for a point null hypothesis about a binomial proportion, a common recommendation is to act as if the null hypothesis is true. We argue that, on the surface, the one-sample t-test of a point null hypothesis about a Gaussian population mean does not appear to follow the recommendation. We show how simple algebraic manipulati...
Objective: To evaluate differences in major outcomes between Bundled Payments for Care Improvement (BPCI) participating providers and non-participating providers for both Major Joint Replacement of the Lower Extremity (MJRLE) and Acute Myocardial Infarction (AMI) episodes. Methods: A difference-in-differences approach estimated the differential change in outcomes for Medicare beneficiaries who had an MJRLE or AMI at a BPCI participating hospital between the baseline (January 2011 through Septemb...
#1Genki IchinoseH-Index: 8
Last. Naoki Masuda (UB: University at Buffalo)
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In some athletic races, such as cycling and types of speed skating races, athletes have to complete a relatively long distance at a high speed in the presence of direct opponents. To win such a race, athletes are motivated to hide behind others to suppress energy consumption before a final moment of the race. This situation seems to produce a social dilemma: players want to hide behind others, whereas if a group of players attempts to do so, they may all lose to other players that overtake them....
#1Roman MarchantH-Index: 6
#2Noelle I. SamiaH-Index: 5
Last. Sally CrippsH-Index: 2
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A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020. In addition, the manuscript and associated website provide projections of deaths per day and total deaths throughout this period for the entire US, as well as for the District of Columbia. Our goal in this report is ...
2 Citations
#1Dianbo LiuH-Index: 3
#1Dianbo LiuH-Index: 1
Last. Mauricio Santillana (Harvard University)H-Index: 16
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We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning methodologies, to reliably forecast COVID-19 activity in Chinese provinces in real-time. Specifically, our method is able to produce stable and accurate forecasts 2 days ahead of current time, and uses as inputs (a) official health reports from Chinese Center Disease for Control and Prevention (China CDC), (b) COVID-19-related internet search a...
3 Citations
#1Jordan Rodu (UVA: University of Virginia)H-Index: 1
In the 1980s a new, extraordinarily productive way of reasoning about algorithms emerged. Though this type of reasoning has come to dominate areas of data science, it has been under-discussed and its impact under-appreciated. For example, it is the primary way we reason about ``black box'' algorithms. In this paper we analyze its current use (i.e., as ``the common task framework'') and its limitations; we find a large class of prediction-problems are inappropriate for this type of reasoning. Fur...
#1Arshia RehmanH-Index: 2
#2Saeeda NazH-Index: 11
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Clinicians decisions are becoming more and more evidence-based meaning in no other field the big data analytics so promising as in healthcare. Due to the sheer size and availability of healthcare data, big data analytics has revolutionized this industry and promises us a world of opportunities. It promises us the power of early detection, prediction, prevention and helps us to improve the quality of life. Researchers and clinicians are working to inhibit big data from having a positive impact on...
#1F. E. Guerra-Pujol (UCF: University of Central Florida)
Review of Cheryl Misak, Frank Ramsey: A Sheer Excess of Powers (Oxford University Press, 2020).
#1M AronowPeter (Yale University)H-Index: 16
#2Fredrik Sävje (Yale University)H-Index: 4
Book review published as: Aronow, Peter M. and Fredrik Savje (2020), "The Book of Why: The New Science of Cause and Effect." Journal of the American Statistical Association, 115: 482-485.
#1Gian Maria Campedelli (UCSC: Catholic University of the Sacred Heart)H-Index: 2
#2Alberto AzianiH-Index: 2
Last. Serena FavarinH-Index: 4
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The global spread of 2019-nCoV, a new virus belonging to the coronavirus family, forced national and local governments to apply different sets of measures aimed at containing the outbreak. Los Angeles has been one of the first cities in the United States to declare the state of emergency on March 4th, progressively issuing stronger policies involving (among the others) social distancing, the prohibition of crowded private and public gatherings and closure of leisure premises. These interventions...
1 Citations
Top fields of study
Bayesian probability
Computer science