Selection and application of statistical methods in medical research / 上海预防医学

Statistics plays an important role in medical research， and the selection of appropriate statistical methods is crucial for drawing reliable and valuable conclusions. This paper provides a brief introduction to commonly used statistical analysis methods for medical data， covering descriptive analysis， parametric test， nonparametric test， correlation analysis， regression analysis， and analysis of survival data. It focuses on discussing the assumptions of multiple linear regression， logistic regression and Cox proportional risk regression， as well as how to choose the appropriate statistical methods for analyzing and interpreting medical data based on different research objectives and data types.

Equívocos estatísticos: perguntas que você sempre quis fazer, mas nunca teve coragem / Statistical misconceptions: questions you've always wanted to ask, but never dared

Este artigo visa elucidar algumas dúvidas enfrentadas ou equívocos estatísticos cometidos por pesquisadores de diversas áreas. São explanados os temas: "tradução não é validação", "análise fatorial exploratória ou confirmatória", "nem todo estudo com dois grupos tem delineamento caso-controle", "teste ou ajuste de Bonferroni", "tamanho de amostra para teste de hipóteses e/ou para intervalo de confiança", e "testes ou dados paramétricos". A abordagem é realizada em uma linguagem acessível ao público leigo, utilizando exemplos e sugerindo referências para aprofundar o conhecimento.(AU)

This article aims to answer some questions and elucidate statistical misconceptions of researchers from different fields. The following topics are addressed: "translation is not validation", "exploratory or confirmatory factor analysis", "not every study with two groups is a case-control study", "Bonferroni test or adjustment", "sample size for testing hypotheses and/or for confidence intervals", and "parametric data or tests". The topics are explained in lay terms, using examples and suggesting references to advance knowledge.(AU)

Using nonparametric test to analyze the relationship between hygroscopicity and water solubility of chemical drugs / 中国药学杂志

OBJECTIVE: To analyze the relationship between hygroscopicity and water solubility of chemical drugs by using nonparametric test. METHODS: Dynamic vapor sorption (DVS) analysis was adopted to determine the hygroscopicity of 515 chemical drugs, and solubility test method was adopted to determine the water solubility of these drugs. All samples were divided into four levels according to their water solubility, and the relationship between hygroscopicity and water solubility was investigated by using Kruskal-Wallis&Wilcoxon rank sum test. RESULTS: There were significant differences in the hygroscopicity of drugs with different levels of water solubility, and the hygroscopicity of level 4 was significantly higher than that of level 1. Hygroscopicity was positively correlated with water solubility. CONCLUSION The hygroscopicity of chemical drugs is interpreted in terms of a physical property in this study, and the results provide an experimental foundation for further studies on the mechanism of hygroscopicity.