Nonlinear Survival Regression Using Artificial Neural Network

Nonlinear Survival Regression Using Artificial Neural Network

Survival analysis methods deal with a type of data, which is waiting time till occurrence of an event. One common method to analyze this sort of data is Cox regression. Sometimes, the underlying assumptions of the model are not true, such as nonproportionality for the Cox model. In model building, c...

Full description

Saved in:

Bibliographic Details
Main Authors:	Akbar Biglarian, Enayatollah Bakhshi, Ahmad Reza Baghestani, Mahmood Reza Gohari, Mehdi Rahgozar, Masoud Karimloo
Format:	Article
Language:	English
Published:	Wiley 2013-01-01
Series:	Journal of Probability and Statistics
Online Access:	http://dx.doi.org/10.1155/2013/753930
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prevalence of depression, anxiety, stress, and suicide tendency among individual with long-COVID and determinants: A systematic review and meta-analysis.
by: Razieh Bidhendi-Yarandi, et al.
Published: (2025-01-01)

Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model
by: Ngoc Hung- Chu, et al.
Published: (2025-12-01)

Mechanical Properties of Self-Compacting Lightweight Concrete Containing Pumice and Metakaolin
by: Masoud Dadkhah, et al.
Published: (2024-08-01)

Estimating the Increase in the Mechanical Characteristics of Self-Compacting Lightweight Concrete Incorporating Pumice and Steel Fibers
by: Masoud Dadkhah, et al.
Published: (2025-11-01)

Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas.
by: Linus Aronsson, et al.
Published: (2021-01-01)

Artificial neural networks and regression analysis for volume estimation in native species
by: Lucas M. Amorim, et al.
Published: (2021-08-01)

An Artificial Neural Network Model for Prediction of the Operational Parameters of Centrifugal Compressors: An Alternative Comparison Method for Regression
by: seyed hossain ebrahimi, et al.
Published: (2020-09-01)

Hierarchical Neural Regression Models for Customer Churn Prediction
by: Golshan Mohammadi, et al.
Published: (2013-01-01)

Estimation of the non records logs from existing logs using artificial neural networks
by: Mehdi Mohammad Salehi, et al.
Published: (2017-12-01)

Factors associated with macrosomia among singleton live-birth: A comparison between logistic regression, random forest and artificial neural network methods
by: Payam Amini, et al.
Published: (2016-12-01)

The Prediction of Concrete Temperature during Curing Using Regression and Artificial Neural Network
by: Zahra Najafi, et al.
Published: (2013-01-01)

Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction
by: Fayrouz Allam
Published: (2024-04-01)

How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression
by: Arash Mohammadzadeh Gonabadi, et al.
Published: (2024-11-01)

THE SOLUTION OF THE APPROXIMATION PROBLEM OF NONLINEAR DEPENDANCES USING ARTIFICIAL NEURAL NETWORKS
by: V. N. Ageyev
Published: (2018-04-01)

Regression analysis and artificial neural networks for predicting pine species volume in community forests
by: Wenceslao Santiago-García
Published: (2025-11-01)

Investigating the Design and Manufacture of a Silicone Texture Pad in a Lumbosacral Orthosis for a Patient With Chronic Low Back Pain
by: Bahareh Delshad, et al.
Published: (2025-10-01)

An experimental study on the agitating efficiency and power consumption for viscoelastic-based nanofluids: Elasticity, impeller effects, and artificial neural network approach
by: Reza Nobakht Hassanlouei, et al.
Published: (2025-04-01)

The Application of Artificial Neural Networks and Logistic Regression in the Evaluation of Risk for Dry Eye after Vitrectomy
by: Wan-Ju Yang, et al.
Published: (2020-01-01)

Comparative Analysis of Artificial Neural Networks with Classical Regression Models for Predicting Dissolved Oxygen in Water
by: Ana Ivette Jater Ruiz, et al.
Published: (2025-07-01)

Integration of Artificial Neural Network Regression and Principal Component Analysis for Indoor Visible Light Positioning
by: Negasa Berhanu Fite, et al.
Published: (2025-02-01)

Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods
by: Betül Mete, et al.
Published: (2023-01-01)

Use of General Regression Artificial Neural Network to Identify the Natural Growth of Head Circumference of the Baby
by: Susan Mohammed, et al.
Published: (2013-03-01)

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation
by: Olamilekan Shobayo, et al.
Published: (2025-04-01)

Surface Roughness Optimization of Polyamide-6/Nanoclay Nanocomposites Using Artificial Neural Network: Genetic Algorithm Approach
by: Mehdi Moghri, et al.
Published: (2014-01-01)

Artificial Neural Network Approach to Study Imprecisely Defined Nonlinear Systems With Case Studies
by: Lakshmi Durga Pathipati, et al.
Published: (2025-01-01)

Nonlinear forecasting of stream flows using a chaotic approach and artificial neural networks
by: Hakan Tongal
Published: (2013-07-01)

Design of nonlinear gradient sheet-based TPMS-lattice using artificial neural networks
by: Zhou Li, et al.
Published: (2024-11-01)

Comparison of Regression and Artificial Neural Network Models for Surface Roughness Prediction with the Cutting Parameters in CNC Turning
by: Muammer Nalbant, et al.
Published: (2007-01-01)

Government Effectiveness in the Petroleum Sector: Two-step Analysis Combining Linear Regression and Artificial Neural Networks
by: Dorić Barbara, et al.
Published: (2024-12-01)

Neural Network Based Finite-Time Stabilization for Discrete-Time Markov Jump Nonlinear Systems with Time Delays
by: Fei Chen, et al.
Published: (2013-01-01)

The Study of Seed Germination and Seedling Growth of Balangu (Lallemantia royleana ‎‎(Benth.) Benth.in Wall) in Response to Temperature and Quantification of Cardinal ‎Temperatures Using Nonlinear Regression Models
by: محمدشاهین دانشمندی, et al.
Published: (2019-01-01)

Solving nonlinear and complex optimal control problems via multi-task artificial neural networks
by: Ali Emami Kerdabadi, et al.
Published: (2025-07-01)

Regressions on quantum neural networks at maximal expressivity
by: Iván Panadero, et al.
Published: (2024-12-01)

New Cure Rate Survival Models Generated by Poisson Distribution and Different Regression Structures with Applications to Cancer Data Set
by: Mahdy Esmailian, et al.
Published: (2023-01-01)

Improving prediction accuracy of open shop scheduling problems using hybrid artificial neural network and genetic algorithm
by: Mohammad Reza Komari Alaei, et al.
Published: (2024-09-01)

Application of Post-Occupancy Evaluation in the Design of Collegiatae Educational Space: (Case study: Faculty of Arts and Architecture, Islamic Azad University-Tehran South Branch)
by: Reza Naghdbishi, et al.
Published: (2024-02-01)

Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks
by: Tariq Mahmood, et al.
Published: (2024-01-01)

Enhancing mixing efficiency in multi-impeller tanks through innovative CFD and artificial neural network approaches
by: Reza Beigzadeh, et al.
Published: (2025-09-01)

Explainable artificial intelligence to diagnose early Parkinson’s disease via voice analysis
by: Matthew Shen, et al.
Published: (2025-04-01)

Considering time-interaction terms using parametric survival models for interval-censoring data
by: Erfan Ghasemi, et al.
Published: (2017-06-01)