Statistics in clinical research: Important considerations

被引:17
作者
Barkan, Howard [1 ,2 ]
机构
[1] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94704 USA
[2] Saybrook Univ, Oakland, CA 94612 USA
关键词
Clinical research; measurement types; predictive modelling; statistical analysis;
D O I
10.4103/0971-9784.148325
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used when the clinical processes being examined are still in process. We discuss methods for building predictive models in clinical situations, and ways to assess the stability of these models and other quantitative conclusions. Techniques for comparing independent events are distinguished from those used with events in a causal chain or otherwise linked. Attention then turns to study design, to the determination of the sample size needed to make a given comparison, and to statistically negative studies.
引用
收藏
页码:74 / 82
页数:9
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