Review
Public, Environmental & Occupational Health
Sander Greenland, Mohammad Ali Mansournia, Michael Joffe
Summary: Statistical analyses in health-science and medical journals are often misleading or wrong. Efforts to reform the problem have not been successful, and we propose replacing traditional jargon with more accurate and modest ordinary-language labels to describe statistics as measures of compatibility between data and hypotheses or models. Additionally, the introduction of surprisal or S-values can provide an understanding of the amount of information the data supply against these possibilities.
PREVENTIVE MEDICINE
(2022)
Article
Environmental Sciences
Theodore G. Shepherd
Summary: The treatment of uncertainty in climate-change science is heavily influenced by the 'frequentist' tradition in statistics, but this method may not always be meaningful and can lead to a disconnect between physical reasoning and statistical practice. Embedding frequentist statistical methods within the framework of probability theory can help integrate physical reasoning into statistical practice in a transparent way.
Article
Computer Science, Software Engineering
Jouni Helske, Satu Helske, Matthew Cooper, Anders Ynnerman, Lonni Besancon
Summary: Common reporting styles for statistical results in scientific articles, such as p-values and confidence intervals, are prone to dichotomous interpretations, which may be harmful to scientific research. Adding visual information to classic CI representation can decrease the tendency towards dichotomous interpretations, as shown in two experiments conducted on researchers with expertise in statistical analysis.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Statistics & Probability
Danijel Kivaranovic, Hannes Leeb
Summary: Research on valid inference after model selection is actively exploring the polyhedral method for constructing confidence intervals, with varying lengths depending on the model and computation complexity. Simulation results suggest that the sufficient condition for infinite length is met unless the selected model includes almost all or almost none of the available regressors. Additionally, kappa-quantiles exhibit a similar behavior for kappa close to 1 in the distribution of confidence interval lengths.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2021)
Article
Psychology, Mathematical
Richard B. Anderson, Jennifer C. Crawford, Michael H. Bailey
Summary: Using Bayes factor as a stopping criterion leads to sample bias, while using effect-size stabilization as a stopping criterion does not result in bias.
BEHAVIOR RESEARCH METHODS
(2022)
Review
Psychology, Mathematical
Rianne de Heide, Peter D. Grunwald
Summary: This article addresses the impact of optional stopping on Bayesian methods, specifying the potential issues under certain circumstances. By extending Rouder's experiments, the authors demonstrate that when parameters are equipped with default or pragmatic priors in practical applications, resilience to optional stopping can be compromised. The article distinguishes between three types of default priors, each with specific issues related to optional stopping.
PSYCHONOMIC BULLETIN & REVIEW
(2021)
Article
Statistics & Probability
Zemin Zheng, Lei Liu, Yang Li, Ni Zhao
Summary: This paper proposes a new de-sparsifying method (DATE) with better performance and reliability in high-dimensional statistical inference. The numerical results demonstrate that this method achieves higher statistical accuracy compared to other methods.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
(2023)
Article
Health Care Sciences & Services
Thomas Perneger
Summary: The likelihood ratio is a method for comparing evidence between two simple statistical hypotheses, providing a straightforward way to assess the support for each hypothesis based on data.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2021)
Article
Operations Research & Management Science
Massimiliano Amarante
Summary: The paper presents a unified framework for theories of decision making and inference by mapping bounded random variables in a statistical model homomorphically into an algebra of operators on a Hilbert space. The choice of a norm or divergence function on this algebra produces different theories of decision making and inference, including Bayesian theory. The paper also shows that Bayes' theorem can be derived from the fundamental concept of conditional expectation, and it is the only updating rule for which the operations of updating and predicting are commutable.
MATHEMATICS OF OPERATIONS RESEARCH
(2022)
Review
Psychology, Mathematical
Noah van Dongen, Jan Sprenger, Eric-Jan Wagenmakers
Summary: This paper examines the value of severity in error statistics and Bayesian inference, highlighting the limitations of the error-statistical explication of severity. It argues that severity is important in Bayesian inference due to the value of specific, risky predictions, and illustrates its application in Bayesian statistics through a practical example.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Multidisciplinary Sciences
Leonardo Braga Castilho, Paulo Inacio Prado
Summary: A comparison between information theory and null hypothesis testing methods in basic statistical applications in ecology showed that they performed equally well in simple designs, leading to consistent conclusions drawn from the data set. Emphasizing practical consequences of inferences can promote insightful dialogue among researchers and facilitate finding common ground.
Article
Statistics & Probability
Marinho Bertanha, Eunyi Chung
Summary: This article proposes a permutation test method for equality of parameters in parametric and nonparametric models. The method maintains exact size in finite samples and has correct size when distributions are equal. It also introduces confidence intervals with correct coverage and demonstrates its effectiveness through simulations and empirical examples.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2022)
Article
Mathematical & Computational Biology
Michael P. Fay, Keith Lumbard
Summary: This article presents a method based on sign test for handling paired data and calculating effect estimates and confidence intervals. It proposes a confidence interval compatible with exact sign test, and supports the conjecture of guaranteed coverage through extensive numerical calculations.
STATISTICS IN MEDICINE
(2021)
Article
Clinical Neurology
Iris S. C. Verploegh, Nicole A. Lazar, Ronald H. M. A. Bartels, Victor Volovici
Summary: The application and interpretation of P values have been a topic of debate for several decades and have gained increasing importance in recent years. While P values can indicate the presence of an effect, they are often misused to exaggerate the significance of findings, without considering the effect size and clinical relevance.
WORLD NEUROSURGERY
(2022)
Article
Economics
Timothy B. Armstrong, Michal Kolesar, Mikkel Plagborg-Moller
Summary: This study constructs robust empirical Bayes confidence intervals for normal means problem, which are not affected by the means distribution and have an average coverage guarantee.
Article
Hematology
Deepa Manwani, Grace Chen, Veronica Carullo, Stelian Serban, Olugbenga Olowokure, Jungeun Jang, Matthew Huggins, Hillel W. Cohen, Henny Billett, George F. Atweh, Paul S. Frenette, Patricia A. Shi
AMERICAN JOURNAL OF HEMATOLOGY
(2015)
Article
Anesthesiology
Rajiv Kabadi, Francois Kouya, Hillel W. Cohen, Ratan K. Banik
ANESTHESIA AND ANALGESIA
(2015)
Letter
Critical Care Medicine
Lin Hsu, Jacqueline M. Achkar, Steven M. Keller, Jason J. Bailey, Hillel W. Cohen, Linda B. Haramati
Article
Acoustics
Rebecca Gamss, Marjorie W. Stein, Joanne M. Rispoli, Hillel W. Cohen, Jeffrey H. Roberts, Mordecai Koenigsberg, Fernanda S. Mazzariol
JOURNAL OF ULTRASOUND IN MEDICINE
(2015)
Article
Critical Care Medicine
Shivanand Shankar Medar, Daphne T. Hsu, H. Michael Ushay, Jacqueline M. Lamour, Hillel W. Cohen, James S. Killinger
PEDIATRIC CRITICAL CARE MEDICINE
(2015)
Article
Medicine, General & Internal
Jean d'Amour Sinayobye, Donald R. Hoover, Qiuhu Shi, Eugene Mutimura, Hillel W. Cohen, Kathryn Anastos
Article
Radiology, Nuclear Medicine & Medical Imaging
William R. Walter, Shlomit Goldberg-Stein, Jeffiey M. Levsky, Hillel W. Cohen, Meir H. Scheinfeld
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
(2015)
Article
Peripheral Vascular Disease
Maday C. Gonzalez, Hillel W. Cohen, Michael H. Alderman
AMERICAN JOURNAL OF HYPERTENSION
(2015)
Article
Public, Environmental & Occupational Health
Justin K. Niles, Mayris P. Webber, Xiaoxue Liu, Rachel Zeig-Owens, Charles B. Hall, Hillel W. Cohen, Michelle S. Glaser, Jessica Weakley, Theresa M. Schwartz, Michael D. Weiden, Anna Nolan, Thomas K. Aldrich, Lara Glass, Kerry J. Kelly, David J. Prezant
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
(2014)
Article
Public, Environmental & Occupational Health
Jessica Weakley, Mayris P. Webber, Fen Ye, Rachel Zeig-Owens, Hillel W. Cohen, Charles B. Hall, Kerry Kelly, David J. Prezant
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
(2014)
Article
Otorhinolaryngology
Patricia A. Loftus, Thomas J. Ow, Bianca Siegel, Andrew B. Tassler, Richard V. Smith, Hillel W. Cohen, Bradley A. Schiff
ANNALS OF OTOLOGY RHINOLOGY AND LARYNGOLOGY
(2014)
Article
Cardiac & Cardiovascular Systems
Gina N. Cassel-Choudhury, Scott I. Aydin, Iris Toedt-Pingel, H. Michael Ushay, James S. Killinger, Hillel W. Cohen, Scott R. Ceresnak
CARDIOLOGY IN THE YOUNG
(2015)
Article
Immunology
Sabriya A. Stukes, Hillel W. Cohen, Arturo Casadevall
INFECTION AND IMMUNITY
(2014)
Article
Integrative & Complementary Medicine
Belinda J. Anderson, Benjamin Kligler, Barry Taylor, Hillel W. Cohen, Paul R. Marantz
JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE
(2014)
Article
Immunology
J. Simkins, V. Muggia, H. W. Cohen, G. Y. Minamoto
TRANSPLANT INFECTIOUS DISEASE
(2014)
