scholarly journals Estimation of Regression Parameters from Noise Multiplied Data

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Yan-Xia Lin ◽  
Phillip Wise
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Real Life ◽  
Simulation Studies ◽  
Independent Variables ◽  
Multiplicative Noises ◽  
Life Data ◽  
Regression Parameters ◽  
Data Application ◽  
Real Life Data

This paper considers the scenario that all data entries in a confidentialised unit record file were masked by multiplicative noises, regardless of whether unit records are sensitive or not and regardless of whether the masked variables are dependent or independent variables in the underlying regression analysis. A technique is introduced in this paper to show how to estimate parameters in a regression model, which is originally fitted by unmasked data, based on masked data. Several simulation studies and a real-life data application are presented.

PSY24 PATIENT TREATMENTS PREFERENCES: HOW TO IDENTIFY PATIENT PROFILES DIRECTLY FROM ONLINE REAL-LIFE DATA? APPLICATION TO LUPUS

2020 ◽  
Vol 23 ◽  
pp. S375
Author(s):  
D. Testa ◽  
L. Radoszycki ◽  
V. Morisseau ◽  
C. Fidyk ◽  
L. Chiche
Keyword(s):  
Real Life ◽  
Life Data ◽  
Data Application ◽  
Real Life Data ◽  
Patient Profiles

scholarly journals Analysis of novel fractional COVID-19 model with real-life data application

2021 ◽  
Vol 23 ◽  
pp. 103968 ◽  
Author(s):  
Mustafa Inc ◽  
Bahar Acay ◽  
Hailay Weldegiorgis Berhe ◽  
Abdullahi Yusuf ◽  
Amir Khan ◽  
...  
Keyword(s):  
Real Life ◽  
Life Data ◽  
Data Application ◽  
Real Life Data

scholarly journals Estimation Methods for a Flexible INAR(1) COM-Poisson Time Series Model

2018 ◽  
Vol 14 (1) ◽  
pp. 57-82 ◽  
Author(s):  
Y. Sunecher ◽  
N. Mamode Khan ◽  
V. Jowaheer
Keyword(s):  
Time Series ◽  
Real Life ◽  
Estimation Methods ◽  
Unknown Parameters ◽  
Simulation Experiments ◽  
Time Series Of Counts ◽  
First Order ◽  
Life Data ◽  
Data Application ◽  
Real Life Data

Abstract Time series of counts occur in many real-life situations where they exhibit various forms of dispersion. To facilitate the modeling of such time series, this paper introduces a flexible first-order integer-valued non-stationary autoregressive (INAR(1)) process where the innovation terms follow a Conway-Maxwell Poisson distribution (COM-Poisson). To estimate the unknown parameters in this model, different estimation approaches based on likelihood and quasi-likelihood formulations are considered. From simulation experiments and a real-life data application, the Generalized Quasi-Likelihood (GQL) approach yields estimates with lower bias than the other estimation approaches.

scholarly journals A Novel Computational Tool for Mining Real-Life Data: Application in the Metastatic Colorectal Cancer Care Setting

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0154689
Author(s):  
Nava Siegelmann-Danieli ◽  
Ariel Farkash ◽  
Itzhak Katzir ◽  
Janet Vesterman Landes ◽  
Hadas Rotem Rabinovich ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Colorectal Cancer ◽  
Cancer Care ◽  
Care Setting ◽  
Real Life ◽  
Computational Tool ◽  
Life Data ◽  
Data Application ◽  
Real Life Data

scholarly journals On the Log-Logistic Distribution and Its Generalizations: A Survey

2021 ◽  
Vol 10 (3) ◽  
pp. 93
Author(s):  
Abdisalam Hassan Muse ◽  
Samuel M. Mwalili ◽  
Oscar Ngesa
Keyword(s):  
Real Life ◽  
Logistic Distribution ◽  
Continuous Distributions ◽  
Lifetime Distributions ◽  
Life Data ◽  
Mathematical Properties ◽  
Linear Representations ◽  
Data Application ◽  
Real Life Data

In this paper, we present a review on the log-logistic distribution and some of its recent generalizations. We cite more than twenty distributions obtained by different generating families of univariate continuous distributions or compounding methods on the log-logistic distribution. We reviewed some log-logistic mathematical properties, including the eight different functions used to define lifetime distributions. These results were used to obtain the properties of some log-logistic generalizations from linear representations. A real-life data application is presented to compare some of the surveyed distributions.

Neuropsychology in the Real World

2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler
Keyword(s):  
Neuropsychological Assessment ◽  
Real World ◽  
Ecological Validity ◽  
Real Life ◽  
Emotional States ◽  
Context Sensitive ◽  
Traditional Assessment ◽  
Life Data ◽  
Real Life Data ◽  
Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

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