Presentation is loading. Please wait.

Presentation is loading. Please wait.

Edward P. Sloan, MD, MPH, FACEP Basic Statistics for EM Research: Power Calculations.

Similar presentations


Presentation on theme: "Edward P. Sloan, MD, MPH, FACEP Basic Statistics for EM Research: Power Calculations."— Presentation transcript:

1 Edward P. Sloan, MD, MPH, FACEP Basic Statistics for EM Research: Power Calculations

2 Edward P. Sloan, MD, MPH, FACEP 2008 UIC Research Course UIC EM Residency Program Chicago, IL September 25, 2008

3 Edward P. Sloan, MD, MPH, FACEP Edward P. Sloan, MD, MPH FACEP Professor Department of Emergency Medicine University of Illinois College of Medicine Chicago, IL

4 Edward P. Sloan, MD, MPH, FACEP Attending Physician Emergency Medicine University of Illinois Hospital Chicago, IL

5 Edward P. Sloan, MD, MPH, FACEP Disclosures FERNE Chairman and President ACEP Clinical Policy Committee ACEP Scientific Review Committee No individual financial disclosures

6 Power Calculations Made Easy Edward P. Sloan, MD, MPH Associate Professor Department of Emergency Medicine University of Illinois Chicago

7 A Question Current Rx: 50% admit rateCurrent Rx: 50% admit rate New therapy: 30% admit rate?New therapy: 30% admit rate? How many pts req’d to prove?How many pts req’d to prove? Assume: p <.05, power 80%Assume: p <.05, power 80%

8

9

10

11 A Change in Outcome Current Rx: 50% admit rateCurrent Rx: 50% admit rate New therapy: 40% admit rate?New therapy: 40% admit rate? How many pts req’d to prove?How many pts req’d to prove? Did N change?Did N change?

12

13

14 A Fixed Sample Size Current Rx: 50% admit rateCurrent Rx: 50% admit rate New therapy: 30% admit rate?New therapy: 30% admit rate? Can only include 200 patientsCan only include 200 patients What kind of p value to expect?What kind of p value to expect?

15

16

17 What is the Power? Current Rx: 50% admit rateCurrent Rx: 50% admit rate New therapy: 30% admit rate?New therapy: 30% admit rate? Can only include 200 patientsCan only include 200 patients What is the power?What is the power?

18

19

20 What Does an 83% Power Mean? There is an 83% chance that a difference of 20% (between groups) will be detected with this sample size.There is an 83% chance that a difference of 20% (between groups) will be detected with this sample size. A difference of less than 20% could occur, and we won’t know it!A difference of less than 20% could occur, and we won’t know it!

21 What New Rx Proportion? Current Rx: 50% admit rateCurrent Rx: 50% admit rate Can only include 200 patientsCan only include 200 patients New therapy: what admit rateNew therapy: what admit rate?

22

23

24 Multiple Levels of Confidence Current Rx: 50% admit rateCurrent Rx: 50% admit rate New therapy: 30% admit rateNew therapy: 30% admit rate How much confidence that the result is “real”?How much confidence that the result is “real”?

25

26

27

28 A Question URI: pO 2 = 94 + 5URI: pO 2 = 94 + 5 PE : pO 2 = 85 + 10PE : pO 2 = 85 + 10 How many pts req’d to prove?How many pts req’d to prove? Assume: p <.05, power 80%Assume: p <.05, power 80%

29

30

31

32 A Bigger Standard Deviation URI: pO 2 = 94 + 10URI: pO 2 = 94 + 10 PE : pO 2 = 85 + 10PE : pO 2 = 85 + 10 How many pts req’d to prove?How many pts req’d to prove? Assume: p <.05, power 80%Assume: p <.05, power 80%

33

34

35 Closer Mean Values URI: pO 2 = 94 + 5URI: pO 2 = 94 + 5 PE : pO 2 = 90 + 10PE : pO 2 = 90 + 10 How many pts req’d to prove?How many pts req’d to prove? Assume: p <.05, power 80%Assume: p <.05, power 80%

36

37

38 Closer Means, Bigger SD URI: pO 2 = 94 + 10URI: pO 2 = 94 + 10 PE : pO 2 = 90 + 10PE : pO 2 = 90 + 10 How many pts req’d to prove?How many pts req’d to prove? Assume: p <.05, power 80%Assume: p <.05, power 80%

39

40

41 Conclusions Know your assumptions up frontKnow your assumptions up front Base them on the med literatureBase them on the med literature Know your design constraintsKnow your design constraints The power calculations are easy!The power calculations are easy! Include the stats in the methodsInclude the stats in the methods Discuss the clinical relevance!!!Discuss the clinical relevance!!!

42 Thank you. www.ferne.org ferne@ferne.org edsloan@uic.edu 312 413 7490 www.ferne.org edsloan@uic.edu www.ferne.org edsloan@uic.edu ferne_2008_research_lecture_sloan_stats_power_092508_final 8/19/2015 11:58 PM Edward P. Sloan, MD, MPH, FACEP


Download ppt "Edward P. Sloan, MD, MPH, FACEP Basic Statistics for EM Research: Power Calculations."

Similar presentations


Ads by Google