论文检索

三治疗组因果效应的三元匹配：创伤中心等级与死亡率比较AI 解读

Giovanni Nattinoa, Bo Lua*, Junxin Shib , Stanley Lemeshowa & Henry Xiangbca Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OHb Center for Pediatric Trauma Research, Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OHc College of Medicine, The Ohio State University, Columbus, OHSupplementary materials for this article are available online. Please go to…

摘要暂缺

摘要暂缺

重症监护病房患者结局的预测AI 解读

Statisticians are being asked with increasing frequency to develop models for occurrences in medical environments. Until recently, only subjective models were available to predict mortality for patients in an intensive care unit (ICU). These models were based on variables and associated weights determined by panels of medical “experts.” This article shows how multiple logistic regression (MLR) can be used to develop an objective model for prediction of hospital mortality…

预测重症监护病房患者的结局AI 解读

Statisticians are being asked with increasing frequency to develop models for occurrences in medical environments. Until recently, only subjective models were available to predict mortality for patients in an intensive care unit (ICU). These models were based on variables and associated weights determined by panels of medical “experts.” This article shows how multiple logistic regression (MLR) can be used to develop an objective model for prediction of hospital mortality…

多元分析在复杂抽样调查数据中的应用AI 解读

This article adapts a standard method of multivariate analysis to a highly complex sampling design utilizing the method of balanced repeated replication for calculating valid and consistent estimates of variance. The example illustrates that by doing univariate tests to compare the mean height (or weight) of six year old white males to the mean height (or weight) of six year old Negro males, no significant differences are found between the two groups. However, the…

多元分析在复杂抽样调查数据中的应用AI 解读

This article adapts a standard method of multivariate analysis to a highly complex sampling design utilizing the method of balanced repeated replication for calculating valid and consistent estimates of variance. The example illustrates that by doing univariate tests to compare the mean height (or weight) of six year old white males to the mean height (or weight) of six year old Negro males, no significant differences are found between the two groups. However, the…