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Step 3: Critically Appraising the Evidence: Basic Statistics

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Table of Contents Clinical Statistics Calculator (Excel) Statistics for: –General Samples and Populations Means and Medians Normal and Skewed Distributions Variability, Variance, and Standard Deviation Confidence Intervals p-values Generalized 2x2 Clinical Table Practice Exercises

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Making It Easier If available, find the best evidence in secondary sources where analysis has already occurred. If not pre-assessed, use critical appraisal worksheets to help you through the process.

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Importance of Critically Appraising the Evidence Understanding the Limitations of the Authors Analyses and Interpretations of the Data Assessing Internal Validity Assessing External Validity Identifying Potential Confounding Variables –Simpsons ParadoxSimpsons Paradox

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Critical Appraisal Basics View movie as: –QuickTime (.mov)QuickTime (.mov) –Flash (.swf)Flash (.swf) Double-click on video for full-screen mode.

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Population –The entire group of all potential patients Sample –The patients included in the study –Representative of the population –Clinical samples consist of treatment groups –Non-clinical samples consist of control groups Population vs. Sample

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Often called arithmetic average or just average Sum of all of the data points divided by the number of data points Basic Statistical Tools: Mean

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If there are n data points lined up in numerical order the median is the one in the exact middle or the average of the 2 middle points if there is an even number of data points. In other words it is the n th /2 data point if n is odd and the ((n-1) th /2 + (n+1) th /2)/2 data point if n is even. Basic Statistical Tools: Median

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–Line up all of the data points in increasing order. –The one in the middle is the median. –If there is no clear single mid-point (i.e. there is an even number of data points), the median is half-way between the two middle points. So if 0, 1, 2, 4 were our data set, 1.5 would be the median. Median: In Laymans Terms

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Normal vs. Skewed Normal –Symmetric, bell-shaped distribution where the frequency of data within an interval is greater the nearer it is to the mean Skewed –Asymmetric distribution –More data to one side of the mean than the other

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Mean vs. Median Additional outliers –usually increase/decrease mean more than medianmean median Skewed data –Mean shifted toward the tail (i.e. the side where the data points are more spread out)Mean –Median unaffected by distribution/shapeMedian Always the middle value regardless of where the other points lie

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When is the distinction between mean and a median important? Mean (i.e. Arithmetic Average) –Used when data is approximately normally distributed Median –Sometimes used with skewed data due to its robustness –Preferred on Likert scales (survey data) since values are ranked but their differences are not clearly quantifiable. After all, what number does agree minus disagree equal? Regardless of how one quantifies these differences, the median remains the same, but the mean depends on the scale.

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If mean and median greatly differ either: –the data is not normal and is skewed one way or another –there is at least one outlier with a lot of leverage

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Variability / Dispersion –How data points are distributed Variance –Sum of the squares of the differences between each data point and the sample mean, divided by the total number of data points Standard Deviation –Square root of the variance Basic Statistical Tools: Measures of Variability

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Confidence Intervals Range in which one would expect the values of the outcome variables to fall into when replicating the experiment given a quantifiable probability of error.

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p-value Probability of obtaining a result as extreme as the observed one if the data were a result of chance. Small p-values mean the result could not likely be the result of chance. Often researches use p-values such as 0.10, 0.05, 0.01, and smaller.

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Generalized 2x2 Clinical Table Actual Outcome +- Outcome of Intervention/ Comparison (Alternatives) +a (True Positives) b (False Positives) -c (False Negatives) d (True Negatives)

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Try it on your own. Critical Appraisal Practice Exercises –From CEBM

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Links to Other Websites and Hands-On Activities EBM Glossary –From CEBM Critical Appraisal Practice Exercises –From CEBM

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Congratulations! You have successfully completed Step 3: Basic Statistics. The End

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Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.

Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.

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