MEASURING CHILD MORTALITY IMPACT BY COX PROPORTIONAL HAZARD MODEL WITH TWO TIME SCALES
DOI:
https://doi.org/10.53808/KUS.2013.11and12.1217-SKeywords:
Dual time number, proportional hazard model, symmetric MLFAbstract
In most demographic surveys, demographer measures child mortality on the basis of time scale (lifetime) but here we introduce dual time number (lifetime and calendar time) in survival analysis. The twoway Cox proportional hazard model is used to compare as well as relate them with a symmetric maximum likelihood that avoids necessitate of primary scale. Finally, the scrutiny indicates, the time point influence both the lifetime of the children as well as the period when birth occurs.
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References
Andersen, P. K. and Gill, R. D. 1982. Cox’s regression model for counting processes: a large sample study. Annual Statistic, 10: 1100-1120
Andersen, P. K., Borgan, Q., Gill, R. and Keiding, N. 1991. Statistical Models based on Counting Process, Springer, New York
Bairagi, R., Sutradhar, S. C. and Alam, N. 1999. Levels, Trends and Determinants of Child Mortality in Matlab, Bangladesh, 1966 – 1994. Asia-Pacific Population Journal, 14(2): 51 – 68
Breslow, N. 1974. Covariance Analysis of Censored Survival Data,. Biometics, 30: 89-99
Brillinger, D. 1986. The natural variability of vital rates and associated statistics. Biometrics, 42: 693-734
Chandrasekhar, S. 1972. Infant Mortality, Population Growth and Family Planning in India. George Allen and Unwin Ltd., London.
Chiang, C. L. 1968. Introduction to Stochastic Process in Biostatistics. John Wiley & Sons, Inc. New York
Cleland, J. and Sathar, Z. A. 1984. The effect of birth spacing on childhood mortality in Pakistan. Population Studies, 38: 401-418.
Cox, D. R. and Oakes, D. 1984. Analysis of Survival Data. Chapman and Hall, London.
Cox, D. R. 1972. Regression models and life tables. Journal of Reliability and Statistical Studies, 34: 73-75
Efron, B. 1977. The efficiency of Cox’s likehood function for censored data. Journal of American Association, 72: 557-565
Efron, B. 2002. The two-way proportional hazard model. Journal of Reliability and Statistical Studies, 64: 899-909
Fraser, D.A.S. 1968. The Structure of Inference. John Wiley & Sons, Inc, New York.
Glasser, M. 1967. Exponential survival with covariance. Journal of the American Statistical Association 62: 561-568.
Hobcraft, J. N., McDonald, J. W. and Rutstein, S. O. 1985. Socioeconomic factors in infant and child mortality: a cross-national comparison. Population Studies, 38(2):193-223
Kabir, A., Rahman, A.,Salway, S. and Pryer ,J. 2000. Sickness among the Urban Poor: A Barrier to Livelihood Security. Journal of International Development 12 (5), 707
Kalbfleisch, J. D. and Prentice, R. L. 1980. The Statistical Analysis of failure Time Data. John Wiley & Sons, Inc. New York
Lehmann, E. L. 1953. The power of rank test. Annals of Mathematical Statistics, 24: 23- 42
Lin, S. Y., Fleming, J. G., Chow, E., Bur, J., Choi, K. K. and Goldberg, A. 2000. Enhancement and suppression of thermal emission by a three-dimensional photonic crystal. Physical Review, 62: 2243
Mosley,W. and Chen, L. 1984. An Analytical Framework for the Study of Child Survival in Developing Countries. Population and Development Review,10: 25-45
Oakes, D. 1977. The asymptotic information in censored survival data. Biometrika, 64:441-448
Palloni, A. and Tienda, M. 1986. The effects of breastfeeding and pace of childbearing on mortality at early ages. Demography, 23:31–52
Prentice, R. Williams, B. and Peterson, A. 1981. On the regression analysis of multivari-ate failure time data. Biometrika, 68: 373-379
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