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Showing posts with label biostatistics. Show all posts
Showing posts with label biostatistics. Show all posts

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