印度粗出生率和粗死亡率:回归在医疗保健中的应用案例

Prisilla Jayanthi, M. Iyyanki
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引用次数: 2

摘要

根据经济调查(2017-2018),1950年印度的人口转型导致高出生率和死亡率下降至6.5%,2016-2017年下降0.6%。粗出生率和粗死亡率随职业的不同而降低。在本研究中,统计参数置信区间表示根据本研究观测数据计算出的粗出生率和粗死亡率均值的真实范围。测量的位置和精度可通过置信区间获得。1984年粗出生率最高,95% CI = 32.08 ~ 39.22, 2011年最低,95% CI = 20.68 ~ 25.24; 1984年粗死亡率最高,95% CI = 32.08 ~ 39.22, 2011年最低,95% CI = 20.68 ~ 25.24。较小的标准误差意味着样本均值更准确地反映了实际总体均值。粗出生率的最小标准误差为1.08,粗死亡率的最小标准误差为0.50。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crude Birth Rate and Crude Mortality Rate in India: A Case of Application of Regression in Healthcare
India’s demographic transition in 1950 has led to decline of high birth and mortality rate to 6.5%, a drop of 0.6% in 2016–2017, as per the economic survey (2017–2018). The crude birth rate and crude mortality rate decreases with the occupation. In this study, the statistical parameter, confidence interval indicates the true range of the mean of the crude birth rate and crude mortality rate computed from the observed data in the study. Location and precision of a measure are made available with the confidence interval. In the study, the results for crude birth rate in 1984 were highest, 95% CI = 32.08–39.22, and in 2011, were lowest, 95% CI = 20.68–25.24, and the results for crude mortality rate in 1984 were highest, 95% CI = 32.08–39.22, and in 2011 were lowest, 95% CI = 20.68–25.24. A small standard error implies that the sample mean is a more accurate reflection of the actual population mean. The smallest standard error of crude birth rate is 1.08, and the smallest standard error of crude mortality rate is 0.50.
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