Results 31 to 40 of about 502,931 (288)
Application of Binary Logistic Regression in Biological Studies
Journal of the Practice of Cardiovascular SciencesBinary logistic regression (BLR) is a statistical method that utilizes one or more independent variables to make predictions about the outcome of a categorical dependent variable.
Debashmita Banerjee +3 more
doaj +1 more source
Jurnal Biometrika dan Kependudukan, 2017 Analysis of the infl uence of risk factors aims to describe the unidirectional relationship between risk factors to an incident or a spesific disease, one of which is binary logistic regression.
Adelia Rahma Fadhilah +1 more
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Oversampling Method To Handling Imbalanced Datasets Problem In Binary Logistic Regression Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020 The class imbalance is a condition when one class has a higher percentage than the other then it can affect the accuracy. One method in data mining that can be used to classification is logistic regression method.
Windyaning Ustyannie, Suprapto Suprapto
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A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification [PDF]
, 2013 Multi-task learning has shown to significantly enhance the performance of multiple related learning tasks in a variety of situations. We present the fused logistic regression, a sparse multi-task learning approach for binary classification. Specifically,
Claassen, Manfred, Mitov, Venelin
core
The sign of the logistic regression coefficient
, 2014 Let Y be a binary random variable and X a scalar. Let $\hat\beta$ be the maximum likelihood estimate of the slope in a logistic regression of Y on X with intercept.
Owen, Art B., Roediger, Paul A.
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LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Considerations for running and interpreting a binary logistic regression analysis – a research note
DBS Business Review, 2023 This research note discusses key considerations for analysis of categorical data using a Pearson’s chi-square and binary logistic regression. It draws on experience from analysis of a country-level household survey (Northern Ireland Health Survey 2014/15)
Emma Beacom
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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
Preferensi Usaha Kecil dan Mikro di Pasar Baru Cikarang Dalam Memilih Akses Pembiayaan
Al-Iqtishad: Jurnal Ilmu Ekonomi Syariah, 2014 Preference of Micro and Small Enterprise in Pasar Baru Cikarang In Selecting Financing Access. The aim of this research is to measure the micro and small entreprise preference in Pasar Baru Cikarang in selecting of conventional or shariah financing ...
Siti Aisyah
doaj +1 more source
Jurnal Pendidikan Ekonomi dan Bisnis (JPEB), 2020 In the last two decades, empirical studies on entrepreneurship had been increasing, especially the object of study of student entrepreneurial intention.
Bambang Mardisetosa +2 more
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