Results 11 to 20 of about 26,999,079 (309)
Regression analysis on different mitogenic pathways [PDF]
In this paper different regression analysis methods were discussed on three different mitogenic pathways i.e. ERK, MK2 and JNK. Coefficient of determination, ANOVA, T-value, Durban-Watson statistics were calculated for the corresponding three proteins ...
Shruti Jain
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Regression analysis between mutation rate, effective population size (Ne), and genome ...
Xiaojun Wang (9353387)
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Exploring heterogeneity in meta-analysis: Meta-regression analysis. [PDF]
Meta-regression is simply the extension of the regression analysis. Whereas in the regression analysis, the outcome and the covariates are measured for each subject, in meta-regression, the outcome and the covariates are measured on the level of the
Spineli, Loukia M +3 more
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Regression analysis of ionospheric disturbance factors [PDF]
Investigation of interactions of the near-planet space parameters, Earth magnetic field and ionospheric parameters are of interest in the tasks of solar-terrestrial physics and applied researches related to space weather.
Polozov Yuryi, Mandrikova Oksana
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Binary logistic regression analysis
In statistics, binary logistic regression analysis is a regression model where the dependent variable is a dichotomous categorical variable. The binary logistic model is used to estimate the probability of a binary response based on one or more ...
Selim Kılıc
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Regression analysis with categorized regression calibrated exposure: some interesting findings
Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e ...
Hjartåker Anette +4 more
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Testing the Equality of Two Parametric Quantile Regression Curves : The Application for Comparing Two Data Sets [PDF]
This study aims to compare the different between two data sets that having the relationship between the dependent and independent variables at each quantile using testing the equality of two parametric quantile regression functions, the conditional ...
Tonggumnead, Unchalee; Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, 39 Moo1, Rangsit-Nakhonnayok Rd. Klong6, Thanyaburi, Pathum Thani 12110Thailand
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Semiparametric Regression Analysis via Infer.NET
We provide several examples of Bayesian semiparametric regression analysis via the Infer.NET package for approximate deterministic inference in Bayesian models.
Jan Luts +3 more
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Boosted Beta regression. [PDF]
Regression analysis with a bounded outcome is a common problem in applied statistics. Typical examples include regression models for percentage outcomes and the analysis of ratings that are measured on a bounded scale.
Andreas Mayr (406146) +24 more
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Use of Trimean in Theil-Sen Regression Analysis
Theil-Sen regression analysis is the most preferred method in non-parametric regression analysis. In the Theil-Senmethod,calculationsaremadewiththemedianparameter.
Erilli, Necati Alp, Necati Alp ERİLLİ
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