Statistical Analysis of AIDS Treatment Effectiveness Based on Longitudinal Data Semi-parametric Model

DOI

10.2991/msbda-19.2019.52How to use a DOI?

Keywords

Longitudinal data, Semi-parametric model, Simulated annealing algorithm, AIDS efficacy

Abstract

Purpose: In this paper, based on the longitudinal data semi-parametric statistical model, the treatment data of more than 1300 AIDS patients are analyzed. Considering the influence of different treatment schemes, age and treatment time on the number of CD4 in patients. Procedures: the co-variance matrix structure of the same individual is considered based on the semi-parametric model, and the parameter estimation value is calculated by using the simulated annealing algorithm. Conclusion: A conclusion about the effect of AIDS treatment is drawn, we get that the scheme 4 is the best treatment scheme under the condition of controlling for the same value of other independent variables, and the trajectory of the average number of CD4 over time is plotted. The new and original in this paper is that Simulated annealing algorithm is used to find the global optimal solution, The proposed procedures can analyze the influencing factors of AIDS treatment more accurately.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Guoyi Yan
AU  - Yan Kong
PY  - 2019/08
DA  - 2019/08
TI  - Statistical Analysis of AIDS Treatment Effectiveness Based on Longitudinal Data Semi-parametric Model
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 338
EP  - 345
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.52
DO  - 10.2991/msbda-19.2019.52
ID  - Yan2019/08
ER  -