Results 71 to 80 of about 430,365 (280)

Evaluation criteria for software classification inventories, accuracies, and maps [PDF]

open access: yes
Statistical criteria are presented for modifying the contingency table used to evaluate tabular classification results obtained from remote sensing and ground truth maps. This classification technique contains information on the spatial complexity of the
Jayroe, R. R., Jr.
core   +1 more source

Decoding Triphenotypic Neutrophils in Cervical Cancer Evolution and Targeting SPP1+/GBP1+/ELOVL5+ Tumor‐Associated Neutrophils to Sensitize Immunotherapy

open access: yesAdvanced Science, EarlyView.
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang   +7 more
wiley   +1 more source

Contingency, Gender, and the Academic Table

open access: yesJournal of Moral Theology, 2019
This essay examines the marginalization of contingent voices in the academy as it intersects with the gendered nature of such contingency. My claim is that the exclusion of contingent voices from full participation in our academic institutions ultimately
Karen Peterson-Iyer
doaj  

Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts

open access: yesThe Journal of Privacy and Confidentiality, 2010
Tabular data have been a staple product for disseminating information derived from the confidential microdata that fuel social science research and inform policy decisions. This paper outlines recent results on disclosure risk assessment associated with
Aleksandra B. Slavkovic
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

Pathological Findings in Hanging: Is the Traditional Knowledge Correct?

open access: yesDiagnostics
Background: In forensic pathology, asphyxia presents a problem as frequently as it is thorny and challenging. Some knowledge in forensic pathology is still considered to be traditionally acquired and is not critically assessed with modern statistical or ...
Graziano Domenico Luigi Crudele   +3 more
doaj   +1 more source

Profile Statistics for Sparse Contingency Tables under Poisson Sampling

open access: yesAustrian Journal of Statistics, 2016
Simple conditions for the inconsistency of classical likelihood ratio (LR) test in case of very sparse categorical data are given. The LR type test based on profile statistics is proposed as an alternative.
Marijus Radavičius, Pavel Samusenko
doaj   +1 more source

A measure of association (correlation) in nominal data (contingency tables), using determinants [PDF]

open access: yes
Nominal data currently lack a correlation coefficient, such as has already defined for real data. A measure is possible using the determinant, with the useful interpretation that the determinant gives the ratio between volumes. With M a m × n contingency
Colignatus, Thomas
core   +1 more source

Bayesian factorizations of big sparse tensors [PDF]

open access: yes, 2013
It has become routine to collect data that are structured as multiway arrays (tensors). There is an enormous literature on low rank and sparse matrix factorizations, but limited consideration of extensions to the tensor case in statistics.
Bhattacharya, Anirban   +3 more
core  

Markov bases and subbases for bounded contingency tables

open access: yes, 2010
In this paper we study the computation of Markov bases for contingency tables whose cell entries have an upper bound. In general a Markov basis for unbounded contingency table under a certain model differs from a Markov basis for bounded tables. Rapallo,
A. Agresti   +13 more
core   +2 more sources

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