نتایج جستجو برای: proportional hazard model

تعداد نتایج: 2192875  

2005
Ralf Bender Thomas Augustin Maria Blettner

Number of words: 2795 (excluding summary, references and tables) 2 SUMMARY This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression coefficients and the simulated random errors. Thus, the response variable can...

Journal: :journal of paramedical sciences 0
nezhat shakeri department of biostatistics, faculty of paramedical sciences, shahid beheshti university of medical sciences fatemeh eskandari prevention of metabolic diseases research center, research institute of endocrine sciences, shahid beheshti university of medical sciences farhad hajsheikholeslami prevention of metabolic diseases research center, research institute of endocrine sciences, shahid beheshti university of medical sciences arash ghanbarian prevention of metabolic diseases research center, research institute of endocrine sciences, shahid beheshti university of medical sciences fereidoun azizi research center of endocrine sciences, research institute of endocrine sciences, shahid beheshti university of medical sciences

abstract         in the increasing population of the elderly in iran, so far no prospective health studies have been undertaken.   this study was conducted to identify the risk factors of survival time of the elderly of ages above 60 years. material and methods: individuals above 60 years old were recruited in the primary phase of the tehran lipid and glucose study (tlgs) during 1998-2001. they...

Journal: :veterinary research forum 2012
maryam ansari-lari mehdi mohebbi-fani abbas rowshan-ghasrodashti

this study was designed to investigate causes of culling in industrial dairy herds in fars province and to describe the pattern of reason-specific culling with respect to age of animal and interval from calving to culling. a total number of 9 dairy herds were selected for the study and information about culling reasons, birth date, last calving date and culling date was collected for culled cow...

Journal: :Iranian journal of public health 2015
Ali Zare Mostafa Hosseini Mahmood Mahmoodi Kazem Mohammad Hojjat Zeraati Kourosh Holakouie Naieni

BACKGROUND Gastric cancer is the one of the most prevalent reason of cancer-related death in the world. Survival of patients after surgery involves identifying risk factors. There are various models to detect the effect of risk factors on patients' survival. The present study aims at evaluating these models. METHODS Data from 330 gastric cancer patients diagnosed at the Iran cancer institute ...

Abdolrasoul Bardideh Amir Hossein Hashemian Behrouz Beiranvand, Eghbal Zand-Karimi Mansour Rezaei

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

Journal: :international journal of occupational and environment medicine 0
lw figgs university of kentucky h holsinger university of kentucky sj freitas university of kentucky gm brion university of kentucky rw hornung university of cincinnati ch rice university of cincinnati

background: suicide is a problem worldwide and occupation is an important risk factor. in the last decade, 55 200 deaths in the us were attributed to occupational risk factors. objective: to determine if toxic metal exposure was associated with suicide risk among paducah gaseous diffusion plant (pgdp) workers. methods: we assembled a cohort of 6820 nuclear industry workers employed from 1952 to...

2002
Joel L. Horowitz

This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known, finitedimensional families of functions. Existing estimators assume that the baseline hazard function belongs to a known parametric family. Therefore, the es...

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