Foreshadow
发表于 2025-3-23 13:42:30
Partial Correlations for Removing Interaction Effects from Efficacy Data (64 Patients)The outcome of cardiovascular research is generally affected by many more factors than a single one, and multiple regression assumes that these factors act independently of one another, but why should they not affect one another. This chapter is to assess whether partial correlation can be used to remove interaction effects from linear data.
gregarious
发表于 2025-3-23 14:02:21
Canonical Regression for Overall Statistics of Multivariate Data (250 Patients)To assess in datasets with multiple predictor and outcome variables, whether canonical analysis, unlike traditional multivariate analysis of variance (MANOVA), can provide overall statistics of combined effects.
烦人
发表于 2025-3-23 19:01:38
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dysphagia
发表于 2025-3-23 22:54:59
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哎呦
发表于 2025-3-24 05:18:36
Correspondence Analysis for Identifying the Best of Multiple Treatments in Multiple Groups (217 PatiMultiple treatments for one condition are increasingly available, and a systematic assessment would serve optimal care. Research in this field to date is problematic.
沉思的鱼
发表于 2025-3-24 10:35:19
Decision Trees for Decision Analysis (1,004 and 953 Patients)Decision trees are, so-called, non-metric or non-algorithmic methods adequate for fitting nominal and interval data. This chapter is to assess whether decision trees can be appropriately applied to predict health risks and improvements.
glacial
发表于 2025-3-24 10:42:48
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FISC
发表于 2025-3-24 15:03:42
Machine Learning in Medicine - Cookbook978-3-319-04181-0Series ISSN 2191-544X Series E-ISSN 2191-5458
勤勉
发表于 2025-3-24 22:30:29
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ordain
发表于 2025-3-25 00:49:04
SpringerBriefs in Statisticshttp://image.papertrans.cn/m/image/620693.jpg