Summary - IPPCR Video and Handout Archive

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Intent to Treat vs. Completers• ITT = Intent To Treat analysis– Assume all study participants• Adhered to the study regime assigned• Completed the study– Only analysis to preserve randomization• MITT = Modified ITT analysis– ITT, but only include people who take thefirst dosage• Per Protocol-Completers-Adherers analysis– Only the well behaved
Simple Important Steps to Avoid Problems• Check eligibility criteria thoroughly prior toenrollment– Unnecessary drop out if realize afterrandomization subject not eligible andforced to withdraw– No matter how quickly a subject iswithdrawn all randomized subjects includedin ITT• Avoid a delay between randomization andtreatment initiation– Delays can lead to unnecessary missingdata that affects ITT25
Page 2: Objectives• Review part of course
Page 6 and 7: Exam• Students will only have one
Page 8 and 9: OutlineExam information‣Take home
Page 10 and 11: Intervention Based ResearchSpectrum
Page 12 and 13: Types of Randomized Studies• Para
Page 14 and 15: Epidemiology• Study of the distri
Page 16 and 17: Non-Randomized• Can ONLY showAsso
Page 18 and 19: Random Example (Game 1)• Everybod
Page 20 and 21: Motivation Behind Randomization•
Page 22 and 23: Randomization Summary• Permuted b
Page 26 and 27: Ways to Randomize• Standard ways:
Page 28 and 29: Types of Randomization• Simple•
Page 30: Statistical Inference• Inferences
Page 38 and 39: Take Home Hypothesis Testing• How
Page 40 and 41: Tak e Home:V ocabulary• Null Hypo
Page 42 and 43: High ORDoes Not a Good Test Make•
Page 44 and 45: Estimates and P-V PV alues• Group
Page 49 and 50: Sample Size and Power
Page 51 and 52: Tak eAway• Study’s primary outc
Page 53 and 54: Tak e Home: N• Difference (effect
Page 55 and 56: If I cut my difference of interesti
Page 57 and 58: Define the OutcomeV ariable• What
Page 59 and 60: Kaplan Meier• One way to estimate
Page 61 and 62: Cox Model for Event Rates• Provid
Page 63 and 64: Prevalence vs. Incidence• “In t
Page 65 and 66: Effect Modification Link NEW• htt
Page 67 and 68: OutlineExam informationTake home me
Page 69 and 70: Logistic RegressionAssumptions• D
Page 71 and 72: Logistic Regression:Fundamental Que
Page 73 and 74: Statistics for Binary Data (2)• O
Page 75 and 76:
Contingency TableCharacter-Presence
Page 77 and 78:
Why We Debate theInterpretation•
Page 79 and 80:
Difference vs. Ratio• Invasive br
Page 81 and 82:
Odds Ratios andRelative Risk (Risk
Page 83 and 84:
2 Examples (KC Mercy)• Physician
Page 85 and 86:
ExampleContinued Stopped TotalTreat
Page 87 and 88:
What is Important• Which event ma
Page 89 and 90:
NNT (from pmean)• Daily low dose
Page 91 and 92:
Basic Recommendation• Somewhere,
Page 93 and 94:
Why do Statistician’s s Care?•
Page 95 and 96:
Analysis Follows DesignQuestions
Page 97 and 98:
Conclusion• Many needsMany needs
Page 99 and 100:
Analysis Follows DesignQuestions
Page 101:
Questions?
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Summary - IPPCR Video and Handout Archive

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