Shit - Behavioural Flashcards

1
Q

Measurement for case-control

A

OR = ad/bc

= have it and risk * not and don’t / have it and don’t * don’t have it but do

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2
Q

Measurement for cohort

A

RR = (a/a+b)/ (c/c+d)

= risk of disease when you have exposure / risk of disease when you don’t have exposure

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3
Q

Phases of clinical trials

A
I = safe (healthy ppl)
II = work - efficacy, AE, dose
III = good/better - common AE
IV = stay - rare/LT AE
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4
Q

sensitivity =

A

= 1 - FN

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5
Q

specificity =

A

= 1 - FP

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6
Q

AR =

A

AR = (a/a+b) - (c/c+d)
= risk of disease when you have exposure - risk of disease when you don’t have exposure
= (RR - R unexposed)/RR

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7
Q

RRR =

A

RRR = 1-RR

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8
Q

ARR =

A

ARR = (c/c+d) - (a/a+b)

= risk of disease when you don’t have exposure - risk of disease when you have exposure

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9
Q

NNT

A

NNT = 1/ARR

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10
Q

NNH

A

NNH = 1/AR

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11
Q

Precision

A

= reliability

decrease with random errors

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12
Q

Accuracy

A

= validity

decrease with systematic errors

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13
Q

Berkson bias vs. healthy worker bias

A

Berkson = study population from hospital is sicker than general population

HWB = study population is healthier than the general population

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14
Q

lead-time vs latent period

A

lead time = find earlier so think it increases survival. Decrease effect with “back-end” survival measures

Latent period = time between intervention and effect. Measuring too soon could prevent you from seeing the result because it hasn’t happened yet

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15
Q

SD %s

A
1SD = 68%
2SD = 95%
3DS = 99.7%
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16
Q

Positive skew =

A

Tail on positive side; Mean > median

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17
Q

Nevative skew =

A

Tail on negative side; Mean

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18
Q

Power =

A

1-beta
= correctly rejecting the null

Increase power (decrease beta) via:

  • increased “n”
  • increased expected effect size
  • increase precision of measurement
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19
Q

Type I error

A

Falsely rejecting the null (FP error)

aka saw a difference when there is none

20
Q

Type II error

A

Failing to reject a false null (FN error)

aka didn’t see a difference when there really is one

21
Q

CI:

A

If CI includes there numbers, then fail to reject null:

Mean difference: 0
OR or RR: 1
Overlap between 2 groups’ CIs

22
Q

T-test

A

comparing 2 groups, numerical data

23
Q

ANOVA

A

Comparing ≥3 groups, numerical data

24
Q

Chi-squared

A

Comparing ≥2 groups, categorical data (i.e. ethnicity)

25
Q

Quarternary prevention

A

Identify patients at risk for unnecessary treatments

26
Q

Medicare vs medicaid

A
medicare = old, disabled, ESRD
Medicaid = very low income
27
Q

Parts of medicare:

A
A = hospital
B = basic clinic stuff
C = A+B via external company
D = drugs
28
Q

Therapeutic privilege

A

Withhold patient information if it will severely harm them or undermine their decision-making capacity
i.e. woman tells you she will kill herself if she has breast cancer because she watched her mom die from it you find a lump during exploratory surgery and take it out without permission

29
Q

Transfusion on minors of jahovas parents?

A

YES

30
Q

Power of attorney hierarchy

A

pt picks someone

pt can revoke this even if they are not competent

31
Q

Surrogate decision makers

A

spouse > adult child > parents > adult siblings > other relative

32
Q

APGAR

A
Appearance (colour)
Pulse (100)
Grimace (reflex to stimulus)
Activity (tone)
Respiration (quality)
33
Q

Object permanence age

A

9 months

34
Q

Positive likelihood ratio

A

sens/1-spec

35
Q

Negative likelihood ratio

A

1-sens/spec

36
Q

Parameters affected by disease prevalence

A

PPV and NPV

ex: higher prevalence = more TP = higher PPV
higher prevalence = less TN = lower NPV

37
Q

most resistant measure of central tendency to outliers

A

mode

38
Q

Least vs greatest financial risk methods of doctor reimbursement

A

Least risk = fee for service: get paid for every test, so order more tests

Highest risk = capitation: get paid a set amount per patient and insure the costs for tests, so more primary/secondary care to prevent diseases and catch them early to avoid expensive tests and surgeries

39
Q

Most preventable cause of disease and death in the USA

A

SMOKING!

40
Q

MCC cancer in women vs MCCD cancer in women

A
MCC = breast > lung > colon
MCCD = lung > breast > colon
41
Q

matching is used to decrease what type of bias:

A

confounding

42
Q

attrition bias is a type of what form of bias

A

Selection bias

(anything that causes a systematic difference between the groups terms of treatment response or prognosis

43
Q

Crossover study design:

A

case control where you switch the groups half way

Limitation = effect from one treatment carrying over. Limit this with a washout period

44
Q

Ecological study

A

Use populations, not people

45
Q

Power =

A

= the study’s ability to find a difference when one does exist
= 1-beta
(so beta = the probability of finding no difference when there is one i.e. failing to reject a false null)

46
Q

Hawthorne effect =

A

Participants altering their behaviour when they know they are being studied