Search Results - "Frostig, Tzviel"

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  1. 1

    Testing the equality of multivariate means when p>n by combining the Hotelling and Simes tests by Frostig, Tzviel, Benjamini, Yoav

    Published in Test (Madrid, Spain) (01-06-2022)
    “…We propose a method of testing a shift between mean vectors of two multivariate Gaussian random variables in a high-dimensional setting incorporating the…”
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    Journal Article
  2. 2

    Exploration in the Presence of Mother in Typically and Non-typically Developing Pre-walking Human Infants by Frostig, Tzviel, Alonim, Hanna, Scheingesicht, Giora, Benjamini, Yoav, Golani, Ilan

    Published in Frontiers in behavioral neuroscience (13-11-2020)
    “…In previous phenotyping studies of mouse and rat exploratory behavior we developed a computational exploratory data analysis methodology including videotaping,…”
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    Journal Article
  3. 3

    Developing a length of stay prediction model for newborns, achieving better accuracy with greater usability by Frostig, Tzviel, Benjamini, Yoav, Kehat, Orli, Weiss-Meilik, Ahuva, Mandel, Dror, Peleg, Ben, Strauss, Zipora, Mitelpunkt, Alexis

    “…BACKGROUNDOne in ten newborn children is born prematurely. The elongated length of stay (LOS) of these children in the Neonatal Intensive Care Unit (NICU) has…”
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    Journal Article
  4. 4

    Non-random length distribution of individual telomeres in immunodeficiency, centromeric instability and facial anomalies syndrome, type I by Sagie, Shira, Edni, Omer, Weinberg, Joseph, Toubiana, Shir, Kozlovski, Tal, Frostig, Tzviel, Katzin, Nirit, Bar-Am, Irit, Selig, Sara

    Published in Human molecular genetics (01-11-2017)
    “…Mutations in the de novo DNA methyltransferase DNMT3B lead to Immunodeficiency, Centromeric Instability and Facial anomalies (ICF) syndrome, type I. This…”
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  5. 5

    Inferring on joint associations from marginal associations and a reference sample by Frostig, Tzviel, Heller, Ruth

    Published 04-12-2022
    “…We present a method to infer on joint regression coefficients obtained from marginal regressions using a reference panel. This type of scenario is common in…”
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    Journal Article
  6. 6

    The Importance of Nonlinear Transformations Use in Medical Data Analysis by Shachar, Netta, Mitelpunkt, Alexis, Kozlovski, Tal, Galili, Tal, Frostig, Tzviel, Brill, Barak, Marcus-Kalish, Mira, Benjamini, Yoav

    Published in JMIR medical informatics (11-05-2018)
    “…The accumulation of data and its accessibility through easier-to-use platforms will allow data scientists and practitioners who are less sophisticated data…”
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    Journal Article
  7. 7

    Direction Preferring Confidence Intervals by Frostig, Tzviel, Benjamini, Yoav, Heller, Ruth

    Published 30-03-2024
    “…Confidence intervals (CIs) are instrumental in statistical analysis, providing a range estimate of the parameters. In modern statistics, selective inference is…”
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    Journal Article
  8. 8

    Testing the equality of multivariate means when $p>n$ by combining the Hoteling and Simes tests by Frostig, Tzviel, Benjamini, Yoav

    Published 22-12-2019
    “…We propose a method of testing the shift between mean vectors of two multivariate Gaussian random variables in a high-dimensional setting incorporating the…”
    Get full text
    Journal Article
  9. 9

    Causal Responder Detection by Frostig, Tzviel, Machluf, Oshri, Kamber, Amitay, Berkman, Elad, Pryluk, Raviv

    Published 25-06-2024
    “…We introduce the causal responders detection (CARD), a novel method for responder analysis that identifies treated subjects who significantly respond to a…”
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    Journal Article
  10. 10

    Robust CATE Estimation Using Novel Ensemble Methods by Machluf, Oshri, Frostig, Tzviel, Shoham, Gal, Milo, Tomer, Berkman, Elad, Pryluk, Raviv

    Published 04-07-2024
    “…The estimation of Conditional Average Treatment Effects (CATE) is crucial for understanding the heterogeneity of treatment effects in clinical trials. We…”
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    Journal Article
  11. 11

    A statistical framework for efficient out of distribution detection in deep neural networks by Haroush, Matan, Frostig, Tzviel, Heller, Ruth, Soudry, Daniel

    Published 25-02-2021
    “…Background. Commonly, Deep Neural Networks (DNNs) generalize well on samples drawn from a distribution similar to that of the training set. However, DNNs'…”
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    Journal Article