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Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model?
Siavosh Abedi,Ghasem Janbabaei,Mahdi Afshari,Mahmood Moosazadeh,Masoumeh Rashidi Alashti,Akbar Hedayatizadeh-Omran,Reza Alizadeh-Navaei,Ehsan Abedini 대한예방의학회 2019 Journal of Preventive Medicine and Public Health Vol.52 No.2
Objectives: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer. Methods: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups. Results: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively. Conclusions: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.
A Novel Nonlinear Robust Guidance Law Design Based On SDRE Technique
Moosapour, Seyyed Sajjad,Alizadeh, Ghasem,Khanmohammadi, Sohrab,Moosapour, Seyyed Hamzeh The Korean Society for Aeronautical and Space Scie 2012 International Journal of Aeronautical and Space Sc Vol.13 No.3
A nonlinear robust guidance law is designed for missiles against a maneuvering target by incorporating sliding-mode and optimal control theories based on the state dependent Riccati equation (SDRE) to achieve robustness against target accelerations. The guidance law is derived based on three-dimensional nonlinear engagement kinematics and its robustness against disturbances is proved by the second method of Lyapunov. A new switching surface is considered in the sliding-mode control design. The proposed guidance law requires the maximum value of the target maneuver, and therefore opposed to the conventional augmented proportional navigation guidance (APNG) law, complete information about the target maneuver is not necessary, and hence it is simple to implement in practical applications. Considering different types of target maneuvers, several scenario simulations are performed. Simulation results confirm that the proposed guidance law has much better robustness, faster convergence, and smaller final time and control effort in comparison to the sliding-mode guidance (SMG) and APNG laws.
Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model?
Abedi, Siavosh,Janbabaei, Ghasem,Afshari, Mahdi,Moosazadeh, Mahmood,Alashti, Masoumeh Rashidi,Hedayatizadeh-Omran, Akbar,Alizadeh-Navaei, Reza,Abedini, Ehsan The Korean Society for Preventive Medicine 2019 예방의학회지 Vol.52 No.2
Objectives: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer. Methods: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups. Results: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively. Conclusions: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.
A Novel Nonlinear Robust Guidance Law Design Based On SDRE Technique
Seyyed Sajjad Moosapour,Ghasem Alizadeh,Sohrab Khanmohammadi,Seyyed Hamzeh Moosapour 한국항공우주학회 2012 International Journal of Aeronautical and Space Sc Vol.13 No.3
A nonlinear robust guidance law is designed for missiles against a maneuvering target by incorporating sliding-mode and optimal control theories based on the state dependent Riccati equation (SDRE) to achieve robustness against target accelerations. The guidance law is derived based on three-dimensional nonlinear engagement kinematics and its robustness against disturbances is proved by the second method of Lyapunov. A new switching surface is considered in the sliding-mode control design. The proposed guidance law requires the maximum value of the target maneuver, and therefore opposed to the conventional augmented proportional navigation guidance (APNG) law, complete information about the target maneuver is not necessary, and hence it is simple to implement in practical applications. Considering different types of target maneuvers, several scenario simulations are performed. Simulation results confirm that the proposed guidance law has much better robustness, faster convergence, and smaller final time and control effort in comparison to the sliding-mode guidance (SMG) and APNG laws.
Samira Mir Mazhari Anvar,Iraj Hassanzadeh,Ghasem Alizadeh 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
In this paper, design and implementation of stabilizing controller for Rotary Inverted Pendulum (RIP) which is an underactuated nonlinear mechanical system, is presented. A sliding mode-state feedback control scheme is proposed for the stabilization of the RIP system. In this scheme, genetic algorithm based state feedback control and sliding mode control (SMC) combined. After swinging up the pendulum, the proposed sliding mode control is activated and stabilized the pendulum (indirectly controlled mode) in upright position. In spite of being Insensitive to the model error and having the ability to globally stabilize the RIP system, undesirable chattering phenomenon and high amount of control energy consumption are the main disadvantages of implementing SMC. In order to eliminate the chattering phenomenon and reduce control energy after stabilization of the pendulum, the SMC switched to GA based state feedback control which is a smooth control law that stabilizes the system around equilibrium states. Experimental results of implementing proposed controller show a high performance of it in comparison to SMC.