An anesthesiologist is a person, standing at the interface of medical and surgical specialties. He may cease to be an expert outside his field; but still possess a bird’s eye view of most specialties. So I would like to label him as a 'layman' among the various specialists, who can save lives. This blog contains, easy to read snippets of info from his world i.e. Anesthesiology
Showing posts with label biostatistics. Show all posts
Showing posts with label biostatistics. Show all posts
Tuesday, December 6, 2016
Monday, October 31, 2016
Visual Analogue Scale & Statistical Concerns
🔸A frequently used tool in anaesthesia research is the 100 mm visual analogue scale (VAS).
🔸This is most commonly used to measure postoperative pain, but can also be used to measure a diverse range of (mostly) subjective experiences such as preoperative anxiety, postoperative nausea, and patient satisfaction after ICU discharge.
🔸Because there are infinite possible values that can occur throughout the range 0-100 mm, describing a continuum of pain intensity, most researchers treat the resulting data as continuous.
🔸If there is some doubt about the sample distribution, then the data should be considered ordinal.
🔸When small numbers of observations are being analysed (say, less than 30 observations), it is preferable to consider VAS data as ordinal.
🔸For a number of practical reasons, a VAS is sometimes converted to a 'verbal rating scale', whereby the subject is asked to rate an endpoint on a scale of 0-10 (or 0-5), most commonly recorded as whole numbers. In this situation it is preferable to treat the observations as ordinal data.
🔸There has been some controversy in the literature regarding which statistical tests should be used when analysing VAS data.
🔸Mantha et al surveyed the anaesthetic literature and found that approximately 50% used parametric tests.
🔸Dexter and Chestnuts used a multiple resampling (of VAS data) method to demonstrate that parametric tests had the greater power to detect differences among groups.
🔸Myles et al have recently shown that the VAS has properties consistent with a linear scale, and thus VAS scores can be treated as ratio data. This supports the notion that a change in the VAS score represents a relative change in the magnitude of pain sensation. This enhances its clinical application.
Reference: Statistical Methods for Anaesthesia and Intensive Care, Paul S Myles and Tony Gin
Thursday, December 17, 2015
EXAMPLES OF RESEARCH QUESTIONS🔢
(From : Oxford Handbook of Medical Statistics, Janet L. Peacock, Philip J. Peacock, P:5)
❓What is the prevalence of diabetes mellitus in the population?
🔴This is a simple descriptive study
❓How effective is influenza vaccination in the community-based elderly?
🔴This is a comparative study, comparing individuals who had vaccines with those who did not
❓Does lowering blood pressure reduce the risk of coronary heart disease?
🔴This is an evaluative study, investigating the effi cacy of lowering blood pressure
❓Is prognosis following stroke dependent on age at the time of the event?
🔴This is an observational study
❓Why does smoking increase the risk of heart disease?
🔴This is an explanatory study investigating the mechanism behind an observed relationship
❓What evidence is there for the effectiveness of antidepressants in treating depression?
🔴This study is a meta-analysis of existing interventional studies
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