Lecture 4 Flashcards

1
Q

Blinding

A

certain groups unaware which intervention they or their patiets recieved
single blind = only patient
double blind = patient and health care providers
-prevent expectations from influencing response (reduce bias)

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2
Q

Randomization

A

determines what groups patients assigned to. Helps balane baseline charactertistics that may or maynot affect the response of the intervention
-allocation concealment: cannot predit which group the next patient will be in
-want an equal balance of gender, weight, height, etc between treatement and control groups

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3
Q

block randomization (bioequivalence study)

A

equal number of patients assigned to each treatement and achieve balance

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4
Q

stratified randomization

A

by disease severity, age, BMI
-ensure balance of treatment groups with respect to all possible combinations
-two stage proedure

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5
Q

benefits of randomization (3)

A

-tends to produce comparable groups, limits effects of unknown confounding variables
-produces valid statistical tests and limits bias
-ethical - all patients have equal oppertunitiy to receive test or control

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6
Q

Disadvanges randomization (3)

A

-patients may not represnt general study population
-patients or physicians may refuse
-administrative complexity

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7
Q

Bias definition

A

deviation from the truth
-over or under estimation of the true treatment effect
-inappropriate study design or study team conduct

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8
Q

potential sources of bias (5)

A

selection, performance, detection, attrition, reporting

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9
Q

selection bias

A

allocation sequene adequatley generated
-equal liklihood for each patient to be sorted into any one group
-bias can overestimate treatement effects
-allocation concealment
-randomization sequence unknown to person entering participants until allocation has occured
-sequentially numbered drug containers or envelopes
-or use third party such as pharmacy

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10
Q

performance bias

A

-blinding of key individual from knowing allocation of patients
-proper blidnding minimizes performance and detection bias
-patients less likely to have biased psychological or physical response, comply with trial regimes, less likely to seek additional treatement during trial, less likely to leave trial
-investigators less likely to transfer inclinication to patients, differentially dose, withdraw patients
-assessors less likely to have bias affect outcome assessment, esp with subjective outcomes

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11
Q

Attrition bias

A

loss of participants from clinical trial after consent and randomization (therefoe have incomplete data for patient)
-intent to treat analysis (ITT): all participants included in their assigned arm whether or not complete the trial
-prevents disruption to baseline equivalence of randomization
-per protocol analysis: patients who complied with protocol sufficiently to ensure their data would likely exibhit the effect of treatement
-may be introduce bias if non-compliace related to treatement

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12
Q

reporting bias

A

selective outcome reporting
-original variables included in publication of study
-what is reported is different that original plan of the study
-positive outcomes reported more than negative outcomes
-before study need to determine primary and secondary outomes, measurement methods and time points, analysis methods, subsets, subgroups, sensitivity analyses

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13
Q

Other sources of bias (6)

A

-baseline imbalanes unaccounted for
-protocol deviation
-contamination
-insenstivie measurement instruments
-selective reporting of subgroups
-inappropriate influence from sponsor

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