安卡拉0-2岁儿童的成长曲线和百分点的头周长:与GAMLSS和量子回归方法的比较
Eda Çakmak1, Serhat Kılıç2, Pınar Özdemir3
1Department of Audiology, Başkent University Faculty of Health Sciences, Ankara, Türkiye.
Turkish archives of pediatrics
|January 13, 2025
概括
这项研究为0至2岁的土耳其儿童构建了头周长 (HC) 增长曲线,发现LMS和量子回归方法之间的差异很小. 与世界卫生组织 (WHO) 标准相比,土耳其儿童的HC百分位数略有差异.
科学领域:
- 儿科 儿科 儿科
- 生物统计学 生物统计学
- 儿童发展 儿童发展
背景情况:
- 增长曲线对于监测儿童的生长和发育至关重要.
- 测量头周长 (HC) 是婴儿健康和大脑发育的关键指标.
研究的目的:
- 为土耳其0-2岁儿童构建当前头周长 (HC) 增长曲线和百分位.
- 为了比较不同的统计方法来构建按性别的HC生长曲线.
- 为了将衍生的HC百分位数与现有标准进行比较.
主要方法:
- 对2832名儿童的HC测量 (2018-2021) 的回顾性分析.
- 使用Lambda-Mu-Sigma (LMS) 和定量回归 (QR) 方法构建生长曲线.
- 使用一般化Akaike信息标准对模型性能进行评估.
主要成果:
- 为男孩和女孩生成了光滑的HC生长曲线和百分点值.
- 对于第三到第97个HC百分位数,LMS和QR方法的结果非常相似.
- 与世界卫生组织 (WHO) 标准相比,土耳其儿童的HC百分位数略有差异.
结论:
- LMS和QR方法为构建HC生长曲线和百分点提供了可比的结果.
- 与国际标准相比,土耳其儿童的已确定的HC百分位可能需要更新或具体考虑.
相关概念视频
Percentile
6.5K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
6.5K
Comparing the Survival Analysis of Two or More Groups
142
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
142
Variation: Normal Distribution, Range, and Standard Deviation
22.2K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
22.2K
z Scores and Area Under the Curve
10.4K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
10.4K
One-Way ANOVA: Unequal Sample Sizes
5.7K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
5.7K
One-Way ANOVA: Equal Sample Sizes
3.2K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
3.2K


