جستجوی مقالات مرتبط با کلیدواژه "parametric survival analysis" در نشریات گروه "پزشکی"

Tuberculosis is the most common cause of death among single-factor infectious diseases and is the tenth cause of death among all diseases in the world. The disease is spread mainly from an infected person through close contact with other people living in one place. The aim of this study was to investigate the relationship between the spatial correlation structure and the recovery time of patients with pulmonary tuberculosis in Iran.
In this applied study, the data of 20554 patients with sputum smear-positive pulmonary tuberculosis in Iran from 1389 to 1393 were used. A parametric accelerated failure time model with spatial frailty and batesian approach was used to analyze the data. The OpenBUGS 1.4 was used for programming and the ArcGIS 9.2 was used for mapping the environmental impact on tuberculosis.
The mean age of the patients was 50.35 years with a standard deviation of 21.6 years. The results showed that the geographical environment, gender, prison condition, degree of smear positivity at diagnosis and location (urban-rural) had a significant impact on the recovery time of pulmonary tuberculosis patients. The recovery time of patients with smear grade 1-9 bacilli, 1 and 2 who were treated was significantly shorter than the others.
According to the study, geographical environment and the location have a significant impact on smear positive patients’ recovery time. This impact depends on the degree of smear positivity in some provinces and is independent of it in some other provinces.

First birth interval has received special attention in public health and demographic investigations due to its implication in fertility, and maternal and child health. Study of ideal first birth interval also is a very important issue since it demonstrates people’s attitude towards fertility. The aim of this study was to investigate the factors, which affect ideal first birth interval among pre- marriage youths.
A sample of 12500 pre-marriage male and female youths in all provinces of Iran who visited pre-marriage counseling centers was selected. The sample selection was based on multistage stratified sampling method. Data were collected in year 2014 using a structured questionnaire. The ideal first birth interval as outcome variable was indicated by univariate survival analysis and stratified Cox model while controlling for some independent covariates.
Based on univariate survival analysis, age, ideal numbers of children and employment status were found to have significant effects on the mean of ideal first birth interval in all provinces. However by fitting different stratified Cox models to different groups of provinces, different covariates were found to play significant effect.
Although there were different factors for influencing ideal first birth interval in different provinces, the differences were in the same direction. In all provinces, ideal first birth interval decreased by increase in age and university students favored longer ideal first birth interval than other participants. Risk of early childbearing for women, people who lived in rural area, had lower educational levels, had greater ideal number of children and had sex preferences were higher compared to the other groups.