This model is known as the 4 parameter logistic regression (4PL). It is quite useful for dose response and/or receptor-ligand binding assays, or other similar types of assays. As the name implies, it has 4 para
What is four/five-parameter parallel lines logistic regression? Four parameter logistic model The four parameter logistic model writes: y = a + (d -a) / [1 + (x / c)b] model (1.1) where a, b, c, d are the parameters of the model, and where x corresponds to the explanatory ...
Application of the Parametric Regression Model with the Four-Parameter Log-Logistic Distribution for Determining of the Effecting Factors on the Survival Rate of Colorectal Cancer Patients in the Presence of Competing RisksBackground: In competing risks data, when a person experiences more than one ...
Abstract In recent years, interest in the four-parameter logistic (4PL) model (Barton and Lord, ETS Res Rep Ser 198(1):i-8, 1981), and its normal ogive equivalent, has been renewed (Culpepper, Psychometrika, 81(4):1142–1163, 2016; Feuerstahler and Waller (Multivar Behav Res 49(3)...
A logistic regression model, using mean values for dominant frequency, coefficient of variation of root-mean square energy, and spectral flux, correctly classified advertisement calls with regard to genus with an accuracy above 70%. Similar accuracy rates were obtained using these parameters with a ...
Four parameter logistic (4PL) curve is a regression model often used to analyze bioassays such as ELISA. They follow a sigmoidal, or "s", shaped curve. This type of curve is particularly useful for characterizing bioassays because bioassays are often only linear across a specific range of conc...
While the model-based methods such as four-parameter logistic regression (4PL) use all the data, they do not consider the correlation among binary outcomes from same identities, which may lead to estimates with overstated precision. We propose estimating titers from two different anchors: ...
Shayan Z Ayatollahi SMT and Zare N. A parametric method for cumulative incidence modeling with a new four-parameter log-logistic distribution. Theor Biol Med Model 2011; 8: 3.JP: Parametric regression on cumulative incidence function. Biostatistics 2007, 8:184-196. doi:10.1186/1742-4682-8-43...
Regression modelResidual analysis47N3097K7097K80In this paper we introduce a flexible extension of the Gumbel distribution called the odd log-logistic exponentiated Gumbel distribution. The new model was implemented in GAMLSS package of R software and a brief tutorial on how to use this package ...