Basic Skills in Statistics: A Guide for Healthcare - download pdf or read online

By Adrian Cook

ISBN-10: 1859591019

ISBN-13: 9781859591017

Records might be an intimidating topic for plenty of scholars and clinicians. This concise textual content introduces simple techniques that underpin scientific data and, utilizing daily medical examples, highlights the significance of statistical rules to realizing and enforcing examine findings in regimen medical care. it's a device for college kids, clinicians in education, nurses, GPs and health facility experts.

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Extra info for Basic Skills in Statistics: A Guide for Healthcare Professionals

Sample text

Statistical inference involves estimating a population parameter (such as mean height of schoolchildren) from a sample statistic (such as mean height in a randomly selected group of 50 children in a school) with a known degree of uncertainty. ■ Calculated from sample observations, confidence intervals provide a measure of precision of the true population value. A 95% confidence interval is thus one which, when repeatedly estimated, will 95% of the time be expected to include the true value of the parameter being estimated.

Precisely what constitutes a ‘highly positive correlation’ is, however, subjective since the correlation coefficient is a dimensionless quantity. The square of the correlation coefficient does, however, have a formal meaning, 100r2 being the percentage of variation in one variable ‘explained’ by the variation in the other. 90, which indicates that 90% of the variation seen in PEF can be ‘explained’ by the variation in FEV1. Another way to interpret correlation coefficients is to compare a number of them with each another.

Confidence intervals provide a measure of precision of how good the point estimate of a population mean is. Statistical inference can be used to test hypotheses in experiments. Postulating the null hypothesis is perhaps the most important step. The null hypothesis is 52 Basic skills in statistics less likely to be accepted if the effect size is large, particularly if this is observed in large, relatively homogenous samples. The probability of observing the data if the null hypothesis is true is given by the P value.

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Basic Skills in Statistics: A Guide for Healthcare Professionals by Adrian Cook


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