Results 51 to 60 of about 1,972,736 (324)

Asymmetry Plus Association Models for Ordinal Square Contingency Tables

Journal of Statistical Theory and Applications (JSTA)
In contingency table analysis, statistical models have been used to study the linkage between variables. The independent model is used to analyze whether or not there is an association between variables.
Kengo Fujisawa, Koki Makishima, Kouji Tahata   +2 more
doaj   +1 more source

How Informative Is the Marginal Information in a 2 × 2 Table for Assessing the Association Between Variables? The Aggregate Informative Index

Mathematics
The analysis of aggregate data has received increasing attention in the statistical discipline over the past 20 years, with the ongoing development of a suite of techniques that are classified as ecological inference.
Salman Cheema, Eric J. Beh, Irene L. Hudson   +2 more
doaj   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

The Application of Canonical Correlation to Two-Dimensional Contingency Tables [PDF]

Tutorials in Quantitative Methods for Psychology, 2010
This paper re-introduces and demonstrates the use of Mickey’s (1970) canonical correlation method in analyzing large two-dimensional contingency tables. This method of analysis supplements the traditional analysis using the Pearson chi-square.
Alberto F. Restori, Gary S. Katz, Howard B. Lee   +2 more
doaj  

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Markov bases and subbases for bounded contingency tables

, 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, A. Bigatti, D. Cox, F. Rapallo, Fabio Rapallo, J. De Loera, J. Shao, P. Diaconis, Ruriko Yoshida, S. Aoki, S. Aoki, S. Aoki, Y. Chen, Y. Chen   +13 more
core   +2 more sources

Post-exposure serological responses to malaria parasites in potential blood donors [PDF]

, 2016
Additional file 4.
Ana Raquel Ferreira, Daniela Portugal-Calisto, Marcelo Sousa Silva, Rosa Teodósio   +3 more
core   +4 more sources

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

Aging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst, Sjaak Bloem, Eline J. Mertens, Nathascha Hanzen, Michel van Agthoven   +4 more
wiley   +1 more source

Attuali sviluppi nello studio dell’associazione tra variabili di tipo qualitativo.

Ratio Mathematica, 1996
The most common procedure for analyzing contingency table data is by using chi-square statistic. The early development of chi-square analysis of contingency table is credited to Pearson (1904) and Fisher (1929), successively expanded by Yates, Mantel ...
C Antonelli, E Ballone
doaj  

Comparison of SAFNWC/MSG Satellite Cloud Type with Vaisala CL51 Ceilometer-Detected Cloud Base Layer Using the Sky Condition Algorithm and Vaisala BL-View Software

Atmosphere, 2019
Ceilometer detection can be used to determine cloud type based on cloud layer height. Satellite observations provide images of clouds’ physical properties.
Milan Šálek, Beáta Szabó-Takács
doaj   +1 more source