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Test your basic knowledge |
Behavioral Science
Start Test
Study First
Subject
:
health-sciences
Instructions:
Answer 40 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Number needed to treat equation
Mean +/- 2(SEM)
Elderly - vs Destitute
1/absolute risk reduction
Reduces precision vs reduces accuracy
2. Positive vs negative skew
Need a certain amount of time before the result surfaces
Risk without tx minus risk with tx
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Feeds self - tricycle - gender identity - toilet trained - sentences
3. Pygmalian vs Hawthorne effect
4. Where does most abnl actions in sleep occur?
Walking - separation anxiety - understand 25% of what he says
Spouse>children>parents
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
Stage 3
5. 12 month milestones
Walking - separation anxiety - understand 25% of what he says
=SD/sqrt(n)
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
6. P value vs power (1-beta) determine them - Power
5 steps - hallucinations - delusions - >2 months is abnormal
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
1/absolute risk reduction
7. NTs in REM sleep
Stage 3
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
Picking neighbors for controls and such
ACh increases it - NE reduces REM
8. Cross-sectional study
Elderly - vs Destitute
Those in different groups aren't treated the same
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
Take data from everyone to get info like prevalence - risks - etc.
9. Reliability=
1-Assess toxicity - safety. Healthy volunteers - 2-Assess dosing - SEs - 3-Huge number of people to compare it to the current standard of care - 4-Long term SEs
Alpha vs beta - FP vs FN - There is a difference when there really isn't vs There isn't a difference when there really is
Precision - Consistent and reproducible
Need a certain amount of time before the result surfaces
10. Matching
Picking neighbors for controls and such
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
Feeds self - tricycle - gender identity - toilet trained - sentences
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
11. Null vs alternative hypothesis
If odds ratio or relative risk cross 1 - If two groups overlap
H0 vs H1 - There is no association vs there is an association
Stage 3
Best payment method for preventative care
12. Latent period bias
Need a certain amount of time before the result surfaces
Take data from everyone to get info like prevalence - risks - etc.
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
H0 vs H1 - There is no association vs there is an association
13. Relative risk equation
You catch the confounding error. Not a bias
[a/(a+b)]/[c/(c+d)]
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
ACh increases it - NE reduces REM
14. Grief sx - timeline
Alpha vs beta - FP vs FN - There is a difference when there really isn't vs There isn't a difference when there really is
5 steps - hallucinations - delusions - >2 months is abnormal
Elderly - vs Destitute
Walking - separation anxiety - understand 25% of what he says
15. Odds ratio equation
Take data from everyone to get info like prevalence - risks - etc.
Ad/bc
Feeds self - tricycle - gender identity - toilet trained - sentences
If odds ratio or relative risk cross 1 - If two groups overlap
16. Absolute risk reduction equation
Risk without tx minus risk with tx
Increased REM - Faster entrance to REM - Repeated awakenings
You catch the confounding error. Not a bias
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
17. Emancipation of a minor
Risk without tx minus risk with tx
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
H0 vs H1 - There is no association vs there is an association
Walking - separation anxiety - understand 25% of what he says
18. MedicarE vs medicaid
=SD/sqrt(n)
Stage 3
Picking neighbors for controls and such
Elderly - vs Destitute
19. For the 2x2 - always put ? on top
Alpha vs beta - FP vs FN - There is a difference when there really isn't vs There isn't a difference when there really is
Disease (+ or -)
Need a certain amount of time before the result surfaces
1/absolute risk reduction
20. Case-control vs cohort study
Take people who have a dz - see what RFs there were vs take people with RFs - see if they develop a dz - Odds ratio vs relative risk - Retrospective vs observational
You catch the confounding error. Not a bias
Spouse>children>parents
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
21. Confidence interval confirms H0
If odds ratio or relative risk cross 1 - If two groups overlap
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
[a/(a+c)] - [c/(c+d)]
22. SEM=
If odds ratio or relative risk cross 1 - If two groups overlap
Picking neighbors for controls and such
=SD/sqrt(n)
Elderly - vs Destitute
23. Type I vs Type II error (including how you decrease the probability of getting them)
24. Depression sleep patterns
=SD/sqrt(n)
Take data from everyone to get info like prevalence - risks - etc.
Increased REM - Faster entrance to REM - Repeated awakenings
Feeds self - tricycle - gender identity - toilet trained - sentences
25. Capitation
Best payment method for preventative care
Mean +/- 2(SEM)
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
Ad/bc
26. t-test vs ANOVA vs chi
27. Phases of clinical trials
Precision - Consistent and reproducible
Take people who have a dz - see what RFs there were vs take people with RFs - see if they develop a dz - Odds ratio vs relative risk - Retrospective vs observational
1-Assess toxicity - safety. Healthy volunteers - 2-Assess dosing - SEs - 3-Huge number of people to compare it to the current standard of care - 4-Long term SEs
Feeds self - tricycle - gender identity - toilet trained - sentences
28. Attributable risk equation
5 steps - hallucinations - delusions - >2 months is abnormal
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
[a/(a+c)] - [c/(c+d)]
29. Selection vs sampling bias
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
Take people who have a dz - see what RFs there were vs take people with RFs - see if they develop a dz - Odds ratio vs relative risk - Retrospective vs observational
[a/(a+c)] - [c/(c+d)]
You catch the confounding error. Not a bias
30. Effect modification
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
You catch the confounding error. Not a bias
[a/(a+b)]/[c/(c+d)]
1/absolute risk reduction
31. 1st vs 2nd tests in determining a patient having dz
1/attributable risk
Walking - separation anxiety - understand 25% of what he says
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
Increased REM - Faster entrance to REM - Repeated awakenings
32. Confidence interval equation (95%)
Risk without tx minus risk with tx
Mean +/- 2(SEM)
[a/(a+b)]/[c/(c+d)]
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
33. Late-look bias
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Precision - Consistent and reproducible
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Need a certain amount of time before the result surfaces
34. Waves of sleep
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
Take people who have a dz - see what RFs there were vs take people with RFs - see if they develop a dz - Odds ratio vs relative risk - Retrospective vs observational
Those in different groups aren't treated the same
Elderly - vs Destitute
35. Number needed to harm equation
1/absolute risk reduction
Alpha vs beta - FP vs FN - There is a difference when there really isn't vs There isn't a difference when there really is
Reduces precision vs reduces accuracy
1/attributable risk
36. Procedure bias
37. Surrogate hierarchy
Spouse>children>parents
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Take people who have a dz - see what RFs there were vs take people with RFs - see if they develop a dz - Odds ratio vs relative risk - Retrospective vs observational
Walking - separation anxiety - understand 25% of what he says
38. Random vs systematic error
Reduces precision vs reduces accuracy
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
1/absolute risk reduction
Precision - Consistent and reproducible
39. 3 yr milestones
You catch the confounding error. Not a bias
Feeds self - tricycle - gender identity - toilet trained - sentences
1/absolute risk reduction
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
40. BMI equation - levels
Spouse>children>parents
[a/(a+b)]/[c/(c+d)]
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
Nonrandom assignment to study group - vs - Subjects not a good representation of the public