Basic & Clinical Biostatistics |
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Page 48
... Aspirin Study : ( 1 ) method of treatment - whether physician subjects were given aspirin or placebo , and ( 2 ) outcome - whether they had a myocardial infarction ( MI ) during the study . Both characteristics are dichotomous , or ...
... Aspirin Study : ( 1 ) method of treatment - whether physician subjects were given aspirin or placebo , and ( 2 ) outcome - whether they had a myocardial infarction ( MI ) during the study . Both characteristics are dichotomous , or ...
Page 55
... aspirin and physicians taking placebo . In this example , taking aspirin assumes the role of the risk factor . The relative risk can be calculated only from a cohort study or a clinical trial in which a group of patients with the risk ...
... aspirin and physicians taking placebo . In this example , taking aspirin assumes the role of the risk factor . The relative risk can be calculated only from a cohort study or a clinical trial in which a group of patients with the risk ...
Page 288
... aspirin therapy than age . 58. Older patients were significantly more likely to take aspirin . 59. Diabetic patients were significantly less likely to take aspirin . 60. The type of hospital was significantly associated with aspirin use ...
... aspirin therapy than age . 58. Older patients were significantly more likely to take aspirin . 59. Diabetic patients were significantly less likely to take aspirin . 60. The type of hospital was significantly associated with aspirin use ...
Contents
Preface | 1 |
Dividing the reference section at the end of the book into five categories to facilitate your | 4 |
OBJECTIVE | 15 |
Copyright | |
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actual analysis appropriate authors blood calculated called cancer Chapter characteristics cholesterol clinical coefficient column compared comparisons conclusion confidence intervals correlation decision described determine developed difference discussed disease distribution divided effect equal error estimate evaluate examine example expected factors Figure formula frequency given gives graphs greater hypothesis illustrate important included increase independent indicates interest involves less levels limits mean measure methods months myocardial infarction needed negative nominal normal distribution null observations obtain occur outcome patients percentage perform permission physicians plot population positive possible predict Presenting Problem pressure probability procedure proportion questions random ratio regression rejection relationship reported risk sample scale scores selected sensitivity significant specific square standard deviation statistical Step subjects Table term tion treatment trials variables weight women zero