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Harvard Data Science Review

Details: As an open access platform of the Harvard Data Science Initiative, Harvard Data Science Review features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability.We aim to publish content that help define and shape data science as a scientifically rigorous and globally impactful

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Special Issue 3: Personalized (N-of-1) Trials · Harvard Data Science …

Details: A Series of Virtual Interventions for Chronic Lower Back Pain: A Feasibility Pilot Study for a Series of Personalized (N-of-1) Trials. by Mark Butler, Stefani D’Angelo, Melissa …

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Machine Learning With Statistical Imputation for Predicting Drug

Details: AbstractIntroductionMaterials and MethodsResultsDiscussionAcknowledgmentsDisclosure StatementReferences3.1. Simulation of listwise deletion versus imputationWe study the effects of imputation using a “gold-standard” dataset derived from the complete cases of the P2APP dataset (see Table 7). To simulate the missingness present in the original dataset, we introduce missingness in the gold-standard dataset based on our MAR assumption …3.2. Predicting approvalsWe analyze the two datasets (P2APP and P3APP) by first splitting each into a training set (70%) and a testing set (30%) randomly (pipeline drug-indication pairs are omitted since their outcomes have yet to be determined). Subsequently, we train 5NN-RF models for each scenario accordin…See more on hdsr.mitpress.mit.eduAuthor: Andrew W. Lo, Kien Wei Siah, Chi Heem WongEstimated Reading Time: 10 minsPublish Year: 2019People also askWhat is study about?What is study about?A study is a room in a house which is used for paperwork, computer work, or reading. Historically, the study of a house was reserved for use as the private office and reading room of a family father as the formal head of a household, but today studies are generally either used to operate a home business or else open to the whole family.Study - definition of study by The Free Dictionary

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A Spatiotemporal Epidemiological Prediction Model to …

Details: 1. Introduction. Coronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (World Health …

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Deployment as a Critical Business Data Science Discipline

Details: The tasks and skills involved in deployment are often not considered as a key component of data science initiatives, but they are critical to data science success. We …

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COVID-19: A Massive Stress Test With Many Unexpected …

Details: This opportunity to study environmental impact is merely one of the many extreme social experiments in progress that would have otherwise been deemed …

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Sabina Leonelli · Harvard Data Science Review

Details: Sabina Leonelli is Professor in Philosophy and History of Science at the University of Exeter, where she co-directs the Centre for the Study of the Life Sciences (Egenis) and …

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Uses and Reuses of Scientific Data: The Data Creators’ …

Details: These complexities are explored here to frame our empirical study. 2.1. Data Reuse and Reproducibility. Many stakeholders in the sciences and social sciences are …

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Medications and Suicide: High Dimensional Empirical Bayes …

Details: Abstract. The rate of suicide has been rising for 16 years and it is the 10th leading cause of death in the United States. Most suicides occur in the context of a psychiatric …

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Finding Love on a First Data: Matching Algorithms in Online Dating

Details: In a 2017 study, Joel et al. built a machine learning algorithm to attempt to predict romantic desire using constructs from relationship science. Although the algorithm provided …

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Toward Reproducible and Extensible Research: From Values to …

Details: The committee also states that “a study’s data and code have to be available in order for others to reproduce and confirm results.” Making research data and code available to …

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Modeling and Analysis of the Spread of COVID-19 Under a …

Details: Using the analogy between the mask model and the multiple-strain model with mutations, we can leverage the analytical results obtained in Eletreby et al. (2020) and …

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Toward Foundations for Data Science and Analytics: A Knowledge

Details: The study groups a wide range of knowledge areas under two main units, one covering foundations such as basic exploration techniques and graphical displays and the …

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Personalized Feedback for Personalized Trials: Construction of …

Details: The current study provides participant feedback examples for personalized trial reports using lay summaries and multiple presentation styles from a series of 60 randomized …

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Personalized Data Science and Personalized (N-of-1) Trials: …

Details: This article describes the main features of Per-DS, and reviews its current state and future outlook. A Per-DS investigation is of, by, and for an individual, the Per-DS …

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Medications and Suicide: High Dimensional Empirical Bayes …

Details: Abstract. The rate of suicide has been rising for 16 years and it is the 10th leading cause of death in the United States. Most suicides occur in the context of a psychiatric …

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How Can Data Science Revolutionize Humanitarian Crises

Details: Smith et al. use The Hive as a case study to outline five challenges in successfully leveraging data and emerging technologies in the humanitarian space that tend to be …

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