Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
PH Models vs. Accelerated Models Comparative Study in Large Censoring.
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Khalid Shoaib
ISBN: 9786202080859
Год издания: 2017
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 52
Издательство: LAP LAMBERT Academic Publishing
Цена: 15181 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: Huge number of Sudanese children, under age of five, were affected mostly by 10 types of diseases, among which 5 were very widely spread (acute renal failure, congenital deformity of heart, leukemia, septicemia and sickle cell disease). These diseases increased children death rate. The AFT model was an alternative method for the analysis of survival data even when hazards were not proportional. Based on asymptotic results, the AFT models should lead to more efficient parameter estimates than Cox model under certain circumferences. Cox PH model is the most commonly used method, but survival analysis, after examining the covariate effects on the hazard function, proposed (AFT) model, unfortunately this method is rarely used. The objective of the analysis was to determine whether the diseases preventive therapies affected children, under age of five, mortality and survival. It was concluded AFT model can be an alternative to the PH model in the analysis and evaluation of the effects of the large censoring data. Analysis suggested PH model may not be appropriate in some situations, and the AFT model could provide a more appropriate description of the dataset.
Ключевые слова: AFT Models, Cox PH Models, Censor Data, Survival Time, Parametric and Semiparametric Model, Children<5 years Mortality