Results 11 to 20 of about 3,588,558 (310)
Regression analysis on different mitogenic pathways [PDF]
Network Biology, 2016 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
doaj +2 more sources
, 2021 Regression analysis between mutation rate, effective population size (Ne), and genome ...
Xiaojun Wang (9353387)
core +3 more sources
Use of Trimean in Theil-Sen Regression Analysis [PDF]
, 2021 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
core +1 more source
Catchment Area Analysis Using Bayesian Regression Modeling [PDF]
Cancer Informatics, 2015 A catchment area (CA) is the geographic area and population from which a cancer center draws patients. Defining a CA allows a cancer center to describe its primary patient population and assess how well it meets the needs of cancer patients within the CA.
Aobo Wang, David C. Wheeler
doaj +3 more sources
Binary logistic regression analysis
Psychiatry and Behavioral Sciences, 2015 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
doaj +1 more source
Regression analysis with categorized regression calibrated exposure: some interesting findings
Emerging Themes in Epidemiology, 2006 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
doaj +1 more source
, 2023 Nonlinear regression analysis is a popular and important tool for scientists and engineers. In this article, we introduce theories and methods of nonlinear regression and its statistical inferences using the frequentist and Bayesian statistical modeling and computation.
Huang, Hsin-Hsiung, He, Qing
openaire +2 more sources
Regression analysis of ionospheric disturbance factors [PDF]
E3S Web of Conferences, 2020 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
doaj +1 more source
Testing the Equality of Two Parametric Quantile Regression Curves : The Application for Comparing Two Data Sets [PDF]
, 2016 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
core +2 more sources
Noncollapsibility and its role in quantifying confounding bias in logistic regression
BMC Medical Research Methodology, 2021 Background Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to ...
Noah A. Schuster +4 more
doaj +1 more source