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Quantitative Biology 2024年第1期12卷 117-127页

作者： Jiarui Ou Le Zhang Xiaoli Ru College of Computer Science Sichuan UniversityChengduChina Department of Gynecology and Obstetrics Beijing Chao-Yang HospitalCapital Medical UniversityBeijingChina

Cardiovascular disease(CVD)is the major cause of death in many regions around the world,and several of its risk factors might be linked to *** improve public health and the understanding of this topic,we look at the recent Minnesota Coronary Experiment(MCE)analysis that used t-test and Cox model to evaluate CVD ***,these parametric methods might suffer from three problems:small sample size,right-censored bias,and lack of long-term *** overcome the first of these challenges,we utilize a nonparametric permutation test to examine the relationship between dietary fats and serum total *** address the second problem,we use a resampling-based rank test to examine whether the serum total cholesterol level affects CVD *** the third issue,we use some extra-Framingham Heart Study(FHS)data with an A/B test to look for meta-relationship between diets,risk factors,and CVD *** show that,firstly,the link between low saturated fat diets and reduction in serum total cholesterol is ***,reducing serum total cholesterol does not robustly have an impact on CVD hazards in the diet ***,the A/B test result suggests a more complicated relationship regarding abnormal diastolic blood pressure ranges caused by diets and how these might affect the associative link between the cholesterol level and heart disease *** study not only helps us to deeply analyze the MCE data but also,in combination with the long-term FHS data,reveals possible complex relationships behind diets,risk factors,and heart disease.

关键词： A/B test bioinformatics cardiovascular disease nonparametric statistics

Study on Key Biological Indicators of Diabetes Based on Statistical Tests

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Journal of Clinical and Nursing Research 2024年第7期8卷 267-273页

作者： Shuaibin Yang School of Mathematics and statistics Nanjing University of Information Science and TechnologyNanjing 210044Jiangsu ProvinceChina

Normality testing is a fundamental hypothesis test in the statistical analysis of key biological indicators of *** this assumption is violated,it may cause the test results to deviate from the true value,leading to incorrect inferences and conclusions,and ultimately affecting the validity and accuracy of statistical *** this,the study designs a unified analysis scheme for different data types based on parametric statistical test methods and non-parametric test *** data were grouped according to sample type and divided into discrete data and continuous *** account for differences among subgroups,the conventional chi-squared test was used for discrete *** normal distribution is the basis of many statistical methods;if the data does not follow a normal distribution,many statistical methods will fail or produce incorrect ***,before data analysis and modeling,the data were divided into normal and non-normal groups through normality *** normally distributed data,parametric statistical methods were used to judge the differences between *** non-normal data,non-parametric tests were employed to improve the accuracy of the *** significant indicators were retained according to the significance index P-value of the statistical test or corresponding *** indicators were then combined with relevant medical background to further explore the etiology leading to the occurrence or transformation of diabetes status.

关键词： Diabetes diagnosis Statistical test nonparametric statistics Normality test

Fast changing processes in radiotelemetry systems of space vehicles

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Journal of Systems Engineering and Electronics 2015年第5期26卷 941-945页

作者： Yesmagambetov Bulat-Batyr Sauhymovich Inkov Alexander Mikhailovich M.Auezov South Kazakhstan University

The method of processing of the non-stationary casual processes with the use of nonparametric methods of the theory of decisions is considered. The use of such methods is admissible in telemetry systems in need of processing at real rate of time of fast-changing casual processes in the conditions of aprioristic uncertainty about probabilistic properties of measured process.

关键词： radiotelemetry information non-stationary casual processes irreversible compression of data nonparametric statistics intervals of a stationarity

Development and comparison of aerial photograph aided visualization pipelines for LiDAR datasets

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International Journal of Digital Earth 2015年第8期8卷 656-677页

作者： Suddhasheel Ghosh Bharat Lohani Department of Civil Engineering MGM’s Jawaharlal Nehru Engineering CollegeAurangabadIndia Department of Civil Engineering Indian Institute of Technology KanpurKanpurIndia

Light Detection and Ranging(LiDAR)technology generates dense and precise threedimensional datasets in the form of point *** methods of mapping with airborne LiDAR datasets deal with the process of classification or feature specific *** processes have been observed to be time-consuming and unfit to handle in scenarios where topographic information is required in a small amount of *** there is a requirement of developing methods which process the data and reconstruct the scene in a small amount of *** paper presents several pipelines for visualizing LiDAR datasets without going through classification and compares them using statistical methods to rank these processes in the order of depth and feature *** make the comparison more meaningful,a manually classified and computer-aided design(CAD)reconstructed dataset is also included in the list of compared *** show that a heuristic-based method,previously developed by the authors perform almost equivalent to the manually classified and reconstructed dataset,for the purposes of *** paper makes some distinct contributions as:(1)gives a heuristics-based visualization pipeline for LiDAR datasets,and(2)presents an experimental design supported by statistical analysis to compare different pipelines.

关键词： LiDAR mining feature extraction visualization experiment design nonparametric statistics

New algorithm for solving 3D incompressible viscous equations based on projection method

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Transactions of Nonferrous Metals Society of China 2011年第8期21卷 1826-1832页

作者：牛晓峰梁伟赵宇宏侯华穆彦青黄志伟杨伟明太原理工大学材料科学与工程学院太原030024 中北大学材料科学与工程学院太原030051

A new algorithm based on the projection method with the implicit finite difference technique was established to calculate the velocity fields and *** calculation region can be divided into different regions according to Reynolds *** the far-wall region,the thermal melt flow was calculated as Newtonian *** the near-wall region,the thermal melt flow was calculated as non-Newtonian *** was proved that the new algorithm based on the projection method with the implicit technique was correct through nonparametric statistics method and *** simulation results show that the new algorithm based on the projection method with the implicit technique calculates more quickly than the solution algorithm-volume of fluid method using the explicit difference method.

关键词： implicit finite difference method 3D incompressible viscous equations projection method nonparametric statistics

Fast changing processes in radiotelemetry systems of space vehicles

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Journal of Systems Science & Complexity 2015年第5期28卷 941-945页

作者： Yesmagambetov Bulat-Batyr Sauhymovich Inkov Alexander Mikhailovich M.Auezov South Kazakhstan University

关键词： radiotelemetry information non-stationary casual pro-cesses irreversible compression of data nonparametric statistics intervals of a stationarity.

Everything You Wanted to Know but Could Never Find from the Cochran-Mantel-Haenszel Test

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Journal of Data Analysis and Information Processing 2023年第3期11卷 310-339页

作者： José Moral de la Rubia Adrián Valle de la O School of Psychology Universidad Autónoma de Nuevo León Nuevo León Monterrey Mexico School of Medicine and Health Science Tecnológico de Monterrey Monterrey Mexico

The Cochran-Mantel-Haenszel (CMH) test, developed in the 1950s, is a classic in health research, especially in epidemiology and other fields in which dichotomous and polytomous variables are frequent. This nonparametric test makes it possible to measure and check the effect of an antecedent variable X on a health outcome Y, statistically controlling the effect of a third variable Z that acts as a confounding variable in the relationship between X and Y. Both X and Y are measured on a dichotomous qualitative scale and Z on a polytomous-qualitative or ordinal scale. It is assumed that the effect of X on Y is homogeneous between the k strata of Z, which is usually tested by the Breslow-Day test with the Tarone’s correction or the Woolf’s test. The main statistical programs have the CMH test together with a test to verify the assumption of a homogeneous effect across the strata, so that it is easy to apply. However, its fundamentals and details of calculations are a mystery to most researchers, and even difficult to find or understand. The aim of this article is to present these details in a clear and concise way, including the assumptions and alternatives to non-compliance. This technical knowledge is applied to a simulated realistic example of the area of epidemiology in health and, finally, an interpretive synthesis of the analyses is given. In addition, some suggestions for the test report are made.

关键词： Odds Ratio Effect Size Statistical Control Qualitative Variables nonparametric statistics

Note on Rank-Biserial Correlation when There Are Ties

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Open Journal of statistics 2022年第5期12卷 597-622页

作者： José Moral de la Rubia School of Psychology Universidad Autónoma de Nuevo León Monterrey México

The objective of this article is to demonstrate with examples that the two-sided tie correction does not work well. This correction was developed by Cureton so that Kendall’s tau-type and Spearman’s rho-type formulas for rank-biserial correlation yield the same result when ties are present. However, a correction based on the bracket ties achieves the desired goal, which is demonstrated algebraically and checked with three examples. On the one hand, the 10-element random sample given by Cureton, in which the two-sided tie correction performs well, is taken up. On the other hand, two other examples are given, one with a 7-element random sample and the other with a clinical random sample of 31 participants, in which the two-sided tie correction does not work, but the new correction does. It is concluded that the new corrected formulas coincide with Goodman-Kruskal’s gamma as compared to Glass’ formula that matches Somers’ dY|X or asymmetric measure of association of Y ranking with respect to X dichotomy. The use of this underreported coefficient is suggested, which is very easy to calculate from its equivalence with Kruskal-Wallis’ gamma and Somers’ dY|X.

关键词： Ordinal Variable Dichotomy Linear Association nonparametric statistics Descriptive statistics

中国贫困治理经验总结：扶贫政策能够实现有效增收吗？

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