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1.
Indian J Public Health ; 2023 Mar; 67(1): 72-77
Article | IMSEAR | ID: sea-223891

ABSTRACT

Background: Child mortality is a major public health issue. The studies on under‑five mortality that ignore the hierarchical facts mislead the interpretation of the results due to observations in the same cluster sharing common cluster‑level random effects. Objectives: The present study uses a multilevel model to analyze under‑five mortality and identify the significant factors for under‑five mortality in Manipur. Methods: National Family Health Survey‑5 (2019–21) data are used in the present study. Amultilevel mixed‑effect Weibull parameter survival model was fitted to determine the factors affecting under‑five mortality. We construct three‑level data, individual levels are nested within primary sampling units (PSUs), and PSUs are nested within districts. Results: Out of the 3225 under‑five children, 85 (2.64%) died. The three‑level mixed‑effects Weibull parametric survival model with PSUs nested within the districts, the likelihood‑ratio test with Chi‑square value = 10.98 and P = 0.004 < 0.05 indicated that the model with random‑intercept effects model with PSUs nested within the districts fits the data better than the fixed effect model. The four covariates, namely the number of birth in the last 5 years, age of mother at first birth, use of contraceptive, and size of child at birth, were found as the risk factor for under‑five mortality at a 5% level of significance. Conclusions: In the random‑intercept effect model, the two estimated variances of the random‑intercept effects for district and PSU levels are 0.27 and 0.31, respectively. The values indicate variations (unobserved heterogeneities) in the risk of death of the under‑five children between districts and PSUs levels.

2.
Article in Chinese | WPRIM | ID: wpr-951054

ABSTRACT

Objective: To compare the prognostic factors of mortality among melioidosis patients between lognormal accelerated failure time (AFT), Cox proportional hazards (PH), and Cox PH with timevarying coefficient (TVC) models. Methods: A retrospective study was conducted from 2014 to 2019 among 453 patients who were admitted to Hospital Sultanah Bahiyah, Kedah and Hospital Tuanku Fauziah, Perlis in Northern Malaysia due to confirmed-cultured melioidosis. The prognostic factors of mortality from melioidosis were obtained from AFT survival analysis, and Cox s models and the findings were compared by using the goodness of fit methods. The analyses were done by using Stata SE version 14.0. Results: A total of 242 patients (53.4%) survived. In this study, the median survival time of melioidosis patients was 30.0 days (95% CI 0.0-60.9). Six significant prognostic factors were identified in the Cox PH model and Cox PH-TVC model. In AFT survival analysis, a total of seven significant prognostic factors were identified. The results were found to be only a slight difference between the identified prognostic factors among the models. AFT survival showed better results compared to Cox's models, with the lowest Akaike information criteria and best fitted Cox-snell residuals. Conclusions: AFT survival analysis provides more reliable results and can be used as an alternative statistical analysis for determining the prognostic factors of mortality in melioidosis patients in certain situations.

3.
Rev. bras. estud. popul ; 38: e0169, 2021. tab, graf
Article in Spanish | LILACS | ID: biblio-1347234

ABSTRACT

En este artículo se analiza el perfil de ahorro de los hogares rurales y urbanos en México. A partir de la Encuesta Nacional de Ingresos y Gastos de los Hogares de 1994 a 2014 se construye un panel sintético y se estima un modelo semiparamétrico que permite identificar los perfiles por edades. Los resultados contrastan con la hipótesis del ciclo de vida, el perfil por edades no muestra una forma de U invertida, hay evidencia de mayor ahorro en las edades avanzadas. Los perfiles de ahorro son mayores en los hogares urbanos, en particular en aquellos con personas mayores y acceso a la salud.


This paper analyzes the saving profile of rural and urban Mexican households. Based on the National Survey of Household Income and Expenditure from 1994 to 2014, a synthetic panel is constructed and a semi-parametric model is estimated to identify profiles by age. Results show a contrast with the life cycle hypothesis. The age profile does not show an inverted U shape and there is evidence of greater savings in advanced ages. Saving profiles are higher in urban households, particularly for the elderly and regarding access to health.


Este artigo analisa o perfil de poupança de famílias rurais e urbanas no México. Com base na Pesquisa Nacional de Renda e Despesa Domiciliar de 1994 a 2014, é construído um painel sintético e estimado um modelo semiparamétrico que permite identificar os perfis por idade. Os resultados contrastam com a hipótese do ciclo de vida. O perfil da idade não apresenta a forma de U invertido e há evidências de maior economia em idades avançadas. Os perfis de poupança são mais elevados nos domicílios urbanos, especialmente naqueles com idosos e com acesso à saúde.


Subject(s)
Humans , Rural Areas , Health of the Elderly , Life Cycle Stages , Mexico , Socioeconomic Factors , Cohort Studies , Universal Access to Health Care Services , Income
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