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