Open AccessStatistics in clinical research: Important considerations
Author(s) -
Howard Barkan
Publication year - 2015
Publication title -
annals of cardiac anaesthesia/annals of cardiac anaesthesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 27
eISSN - 0974-5181
pISSN - 0971-9784
DOI - 10.4103/0971-9784.148325
Subject(s) - sample size determination , clinical practice , computer science , statistical analysis , sample (material) , econometrics , statistics , psychology , data science , management science , medicine , mathematics , engineering , family medicine , chemistry , chromatography
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.