Duration Diabetes Survival Times Modelling Using Some Extended Lomax Distribution
Journal Title: Engineering and Technology Journal - Year 2024, Vol 9, Issue 11
Abstract
The precise modeling of survival time in diabetes is essential for accurately estimating the potential lifespan of individuals diagnosed with diabetes. One of the key factors in assessing the potential survival times of diabetes patients in a specific region is the probability distribution of diabetes survival times. Therefore, data on diabetes survival times are necessary to conduct statistical modeling, particularly in determining the most suitable probability distribution. Statistical models are developed to draw conclusions about the probability distribution of diabetic patients at the Mandau Regional General Hospital (RSUD) in Bengkalis Regency, Riau Province. To achieve this, six distributions will be utilized and evaluated to identify the best model for describing diabetes survival times. The primary objective of this research is to identify the most appropriate distribution to represent the survival times of diabetes patients from 50 individuals in the Bengkalis region, using the Lomax (LM) distribution, three parameters modified Lomax distributions (Rayleigh Lomax (RL), Logistics Lomax (LL), New Rayleigh Lomax (NRL)) and four parameters modified Lomax Distribution (Odd Lomax Log Logistics (OL), Novel Extended Power Lomax (PL)). The maximum likelihood method will be employed to estimate the parameter values of the distributions used in this study. Additionally, graphical assessments (density-density plot) and numerical criteria (Akaike’s Information Criterion (AIC), -log likelihood (-l)) will be utilized to determine the best-fitting model. In most instances, the results obtained from graphical assessments were consistent but differed from the numerical criteria. The model with the lowest values of AIC and -l was selected as the best fit. Overall, the RL and OL distributions was identified as the most suitable model.
Authors and Affiliations
Fajar Fadhilah Mondri , Rado Yendra ,Ari Pani Desvina , Rahmadeni ,Muhammad Marizal,
Keywords
Related Articles
- EP ID EP750286
- DOI 10.47191/etj/v9i11.02
- Views 3
- Downloads 0
Optimization of Turning Process Performance Characteristics during Machining of AISI 304 Material
Turning process variables significantly affect the turning process performance. In the present work, Taguchi technique was applied to optimize the turning process performance during machining of AISI 304 material under c...
RHEOLOGICAL STUDY ON STRENGTH CHARACTERISTICS OF SANDCRETE HOLLOW BLOCK ADMIXED WITH OIL PALM STEM ASH
The study investigated the use of oil palm stem ash as partial replacement of OPC for sandcrete hollow block production which ranges from 0 to 25% (at 5% interval). Ninety six (96) sandcrete blocks were cast using 1:6 as...
PREDICTION OF MOVEMENT OF A LARGE BOULDER IN THE CHANNEL OF THE MOUNTAIN STREAM
As it is known, according to the type of formation, density, and fractional composition, debris flow is divided into two dynamic categories – cohesive (turbulent) and adhesive (hyper-concentrated, structural). Cohesive d...
Enhancing Performance Metrics: A Google Looker Studio Approach to Key Performance Indicator (KPI) Management System for Homecorp Offshore Drafting Team
The Homecorp Offshore Drafting Key Performance Indicator (KPI) Management System is a comprehensive process that aims to improve the management and monitoring of key performance indicators within the drafting department....
Optimizing Affordable Drone Surveillance with Advanced Image Processing Techniques
The widespread adoption of drones can be attributed to their low cost and convenience which led to a growth in their use for surveillance reasons leading to their extensive use in other areas too. In spite of this, the p...