scholarly journals Use of Logistic Regression to Combine Two Causality Criteria for Signal Detection in Vaccine Spontaneous Report Data

Drug Safety ◽  
2014 ◽  
Vol 37 (12) ◽  
pp. 1047-1057 ◽  
Author(s):  
Lionel Van Holle ◽  
Vincent Bauchau
Keyword(s):  
Logistic Regression ◽  
Signal Detection ◽  
Spontaneous Report ◽  
Report Data

Do logistic regression and signal detection identify different subgroups at risk? Implications for the design of tailored interventions.

2001 ◽  
Vol 6 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Michaela Kiernan ◽  
Helena C. Kraemer ◽  
Marilyn A. Winkleby ◽  
Abby C. King ◽  
C. Barr Taylor
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Signal Detection ◽  
Tailored Interventions

Are all quantitative postmarketing signal detection methods equal? Performance characteristics of logistic regression and Multi-item Gamma Poisson Shrinker

2011 ◽  
Vol 21 (6) ◽  
pp. 622-630 ◽  
Author(s):  
Conny Berlin ◽  
Carles Blanch ◽  
David J. Lewis ◽  
Dionigi D. Maladorno ◽  
Christiane Michel ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Signal Detection ◽  
Performance Characteristics ◽  
Detection Methods ◽  
Gamma Poisson Shrinker

Logistic Regression in Signal Detection: Another Piece Added to the Puzzle

2013 ◽  
Vol 94 (3) ◽  
pp. 312-312 ◽  
Author(s):  
O Caster ◽  
G N Norén ◽  
D Madigan ◽  
A Bate
Keyword(s):  
Logistic Regression ◽  
Signal Detection

scholarly journals Analysis of the Relationship Between Turning Signal Detection and Motorcycle Driver’s Characteristics on Urban Roads. A Case Study

2019 ◽  
Author(s):  
Alfonso Micucci ◽  
Luca Mantecchini ◽  
Maurizio Sangermano
Keyword(s):  
Logistic Regression ◽  
Signal Detection ◽  
Test Site ◽  
Correct Detection ◽  
Stepwise Logistic Regression ◽  
Turn Signal ◽  
Suburban Areas ◽  
The Relationship ◽  
Driver’S Characteristics

The relationships among the potential causes of a car and motorcycle collision involving turn maneuvers as well as the perception of rear and front turn signal (on/off) configuration is examined in this paper. The investigation has been based on data pooled from the answers of a survey proposed to 136 people, with special regards to the correct detection of indicators aspect. Experimental videos have been realized during the tests campaign, both in urban and suburban areas, using a 360-camera attached to a motorcyclist’s helmet, reproducing vehicular conflicts able to potentially generate crash risks. The detection of the blinker was combined with other factors (e.g. age, gender, location of the test site, presence of the car behind tester vehicles and if the bikers are also habitual car or bike drivers) in a stepwise logistic regression that modelled the odds of detecting the turn signal turned on as a function of all of these factors. The results suggest the existence of a connection between the detection of the turn signal aspect and some of the variables considered (e.g. age, being a cyclist or a car driver and the presence of a protecting car).

Response to “Logistic Regression in Signal Detection: Another Piece Added to the Puzzle”

2013 ◽  
Vol 94 (3) ◽  
pp. 313-313 ◽  
Author(s):  
R Harpaz ◽  
W DuMouchel ◽  
P LePendu ◽  
A Bauer-Mehren ◽  
P Ryan ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Signal Detection

A Model of Air to Ground Target Acquisition Based on Logistic Regression Analysis

2000 ◽  
Vol 44 (21) ◽  
pp. 3-484-3-487
Author(s):  
Bartholomew Elias
Keyword(s):  
Logistic Regression ◽  
Signal Detection ◽  
Human Performance ◽  
Visual Target ◽  
Target Acquisition ◽  
Independent Variables ◽  
Ground Target ◽  
Regression Techniques ◽  
Detection Capabilities ◽  
Operational Constraints

Logistic regression, a technique for describing relationships between a binary or dichotomous dependent variable and one or more independent variables that can be either discrete or continuous, is demonstrated to be an effective analytical tool for evaluating data collected using psychophysical methods and signal detection procedures. One specific application of logistic regression is the assessment of operational factors on human performance in visual target acquisition. Visual target acquisition data collected using signal detection procedures were reanalyzed using logistic regression techniques. The application of these logistic regression techniques produced empirically derived psychophysical models of target detection capabilities under various conditions. Such models can be used to predict human performance in visual target acquisition under various operational constraints.

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

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