相关实验视频
Updated: Jul 12, 2025

09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
27.1K
在低资源环境中评估妊娠年龄的测量误差的纠正:回归校准方法
George O Agogo1, Jennifer R Verani1, Nancy A Otieno2
1Division of Global Health Protection, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Frontiers in medicine
|October 30, 2023
概括
使用基底高度 (FH) 和最后一次月经周期 (LMP) 纠正妊娠年龄 (GA) 测量错误可以提高准确性. 这种校准加强了GA与新生儿结局 (如死亡率和低出生体重) 之间的关联.
科学领域:
- 孕产妇和儿童的健康
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 准确的妊娠年龄 (GA) 估计对于评估新生儿健康结果至关重要.
- 在GA中测量错误,特别是在资源较低的环境中,可能会导致研究结果偏差.
- 基于超声波的GA是黄金标准,但往往无法使用,需要使用其他方法,如底部高度 (FH) 和最后的月经周期 (LMP).
研究的目的:
- 为了纠正来自FH和LMP的GA测量错误.
- 评估这一校正对GA与新生儿死亡率和低出生体重 (LBW) 之间的关联的影响.
主要方法:
- 利用了肯尼亚Siaya县的2,750名孕妇的数据 (2015-2019).
- 使用回归校准来调整基于FH和LMP的GA,使用来自子队列的超声数据.
- 应用后勤回归来分析GA与新生儿死亡率和LBW的关联,比较校准和未校准的估计值.
主要成果:
- 校准提高了基于LMP的GA (相关系数 ρ 从0.48到0.57) 和基于FH的GA (ρ 从0.82到0.83) 的精度.
- 校准的GA估计消除了偏差,并加强了与新生儿死亡率的关联,以FH为基础的GA增加29%,以LMP为基础的GA增加两倍以上.
- 校准还加强了与低出生体重 (LBW) 的关联.
结论:
- 基于FH/LMP的GA校准提高了准确性和精度,导致与新生儿死亡率和LBW的更强烈关联.
- 校准建模是公共卫生和临床干预的宝贵工具,在缺乏广泛的超声波可用性的环境中.
- 通过校准改进GA估计,可以更准确地评估新生儿健康风险.
相关概念视频
Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Instrument Calibration
202
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
202
Calibration Curves: Linear Least Squares
1.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
For data that follow a straight line, the standard method for fitting is the linear...
1.3K
Testing a Claim about Standard Deviation
2.5K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.5K
Random and Systematic Errors
11.0K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
11.0K
Distance Corrections
31
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
31

