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Statistics in clinical research: Important considerations.
Ann Card Anaesth ; 2015 Jan-Mar ; 18(1): 74-82
Article in English | IMSEAR | ID: sea-156505
ABSTRACT
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.
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Full text: Available Index: IMSEAR (South-East Asia) Main subject: Predictive Value of Tests / Data Interpretation, Statistical / Models, Statistical / Biomedical Research Type of study: Prognostic study / Risk factors Language: English Journal: Ann Card Anaesth Year: 2015 Type: Article

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Full text: Available Index: IMSEAR (South-East Asia) Main subject: Predictive Value of Tests / Data Interpretation, Statistical / Models, Statistical / Biomedical Research Type of study: Prognostic study / Risk factors Language: English Journal: Ann Card Anaesth Year: 2015 Type: Article