UC知道有统计学基础的英语高手帮我翻译下吧
来源：百度知道 编辑：UC知道 时间：2024/05/16 06:38:32
Incidence and Prevalence
Two terms commonly used (and misused) in medicine and public health are incidence and prevalence. Incidence is the number of subjects who contract a disease over time divided by the population at risk. Incidence is usually expressed as a rate (e.g., 7 per 1000 per year), but it may sometimes be a proportion if the time variable is otherwise understood or clear, as in the lifetime incidence of breast cancer or the incidence of diabetes during pregnancy. Prevalence is the number who have a disease at one point in time divided by the population at risk; it is always a proportion. At any point in time, the prevalence of disease depends on how many people contract it and how long it lasts: prevalence = incidence × duration.
Bivariate Statistics
Bivariate statistics summarize the relationship between two variables. In clinical research, it is often desirable to distinguish between predictor and outcome variables. Predictor variables include treatments
Two terms commonly used (and misused) in medicine and public health are incidence and prevalence. Incidence is the number of subjects who contract a disease over time divided by the population at risk. Incidence is usually expressed as a rate (e.g., 7 per 1000 per year), but it may sometimes be a proportion if the time variable is otherwise understood or clear, as in the lifetime incidence of breast cancer or the incidence of diabetes during pregnancy. Prevalence is the number who have a disease at one point in time divided by the population at risk; it is always a proportion. At any point in time, the prevalence of disease depends on how many people contract it and how long it lasts: prevalence = incidence × duration.
Bivariate Statistics
Bivariate statistics summarize the relationship between two variables. In clinical research, it is often desirable to distinguish between predictor and outcome variables. Predictor variables include treatments
发病率和流行
两种常用的术语（和滥用）在医药和公共健康的发病率和流行。发病率的学科，谁得病随着时间的推移在高危人群分歧。发病率通常表示为一个利率（例如，每年1000 7），但有时可能是一个时间变量，如果是明确的理解或以其他方式所占的比例，在乳腺癌和糖尿病的发病率一生，在怀孕期间。患病率是多少谁也一度由人口除以危险的疾病时，它总是一个比例。在任何时候，疾病的流行取决于有多少人的合同，并持续多久：患病率=发病率×时间。
二元统计
二元统计总结了两个变量之间的关系。在临床研究领域，它通常是可取的区分预测和结果变量。预测变量包括获得治疗，人口变量和测试结果被认为可能是预测或导致的结果变量，这是疾病或（通常是坏）的事件或结果的有关验证预测预防或治疗。例如，要查看是否有骨密度测量（即预测）预测时间腰椎骨折（结果），统计的二元选择，评估与预测的结果进行比较取决于协会的预测和结果变量的类型。