Aubrey- Epidemiology Test 2 Flashcards

1
Q

Order of Research Evidence Pyramid

A

Most evidence to least

  • Not important ones
  • Randomized, DB, controlled trials
  • Cohort
  • Case Control
  • Cross sectional
  • Not important ones
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2
Q

Study design selection is based on (6)

A

Perspective of research question (hypothesis)
Ability/ Desire to force group allocation (randomization)
Ethics of methodology
Efficiency & Practicality (time/resources)
Costs
Validity of acquired info (internal/external)

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3
Q

External validity and Internal validity

A

Ext: how well can i take the findings from the studies and apply them

Int: Is the study group design and the methods used valid?

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4
Q

Null Hypothesis (Ho)

A

Researchers either reject or accept this based on results

States that there will be NO true difference between groups being compared

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5
Q

Statistical perspectives that can be taken by the researcher (3)

A

Superiority
Noninferiority
Equivaency

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6
Q

Alternative Hypothesis (H1)

A

A research perspective which states there WILL BE a (true) difference between the groups being compared

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7
Q

Type I error

A

false positive

pregnant male

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8
Q

Type II error

A

False negative

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9
Q

Ho True p>0.5

A

Correct

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10
Q

Ho True p

A

Type I error

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11
Q

H1 True p>0.5

A

Type II error

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12
Q

H1 True p

A

Correct

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13
Q

Two types of study designs

A

Observational and Interventional

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14
Q

Observational studies

A

Natural

Elements occurring naturally or that individual freely picks

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15
Q

Can observational studies prove causation?

A

No

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16
Q

Interventional studies

A

Experimental
Researcher force group allocation
Randomization process

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17
Q

Types of observational studies (5), list in increasing strength of evidence

A

Cases reports/series, ecological, cross-sectional, case-control, cohort

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18
Q

What observational studies are analytical

A

Cross sectional
Case control
Cohort

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19
Q

What intervential studies are analytical

A

ALL

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20
Q

Study population

A

The final group of individuals selected for a study

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21
Q

Are human studies observational or intervential?

A

Both

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22
Q

Study Population Selection based on (4)

A

-Research Hypothesis/ Question
-Inclusion & Exclusion selection criteria (inventional) & Case and Control group OR Exposed and Non-Exposed group selection criteria (observational)
[Desired vs logical vs plausible]
-Ethics
-Equipoise

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23
Q

Equipoise

A

Genuine confidence that an intervention may be worthwhile (risk vs benefit) in order to use it in humans

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24
Q

4 Key principles of Bioethics

A

[Be able to demonstrate 4 principles]

  • Autonomy
  • Beneficence
  • Justice
  • Nonmaleficence
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25
Autonomy (3)
[4 key principles] Self-rule/ Self-determination Participants must.. -Have full & complete understanding of the risks and benefits (No misinformation, incomplete info, or ineffectively-conveyed info (language or education level)) -Decide for ones-self, without outside influences -No coercion, reprisal, financial manipulation
26
Beneficence
To benefit or do good for, the patient (not society) | Has to be some benefit even if getting placebo (getting care from doctor, assessment)
27
Justice
Equal and fair treatment regardless of patient characteristics
28
Nonmaleficence (3)
Do no harm. Researchers must not.. - Withold info - Provide false information - Exhibit professional incompetence
29
Belmont Report (What is it and 3 guiding principles)
Issued by National commission for protection of human subjects of biomedical and behavior research, decides whether of not research conducted is ethical 1) Respect of persons - Research should be voluntary, subjects autonomous 2) Beneficence - Research risk are justified by benefits 3) Justice - Risk and benefits are equally distrubted
30
Consent
Agreement to participate -Based on being fully and completely informed [mentally-capable and legal consenting age]
31
Assent
Agreement to participate - Based on being fully and completely informed, give by mentally capable individuals NOT able to give legal consent (children) - Requires consent of parent or legal guardian
32
Ethical Conduct of Research, Who Determines
IRB (before) OHRP (enforce during) DSMB (during)
33
Interstitutional Review Board (IRB) levels (3)
all human subjects must be reviewed - Full board: ALL interventional trials with more than minimal/ no risk to patients, all medication studies - Expediated: minimal risk and/ no patient identifiers - Exempt: no patient identifiers, low/no risk, de-identified dataset analysis, environmental studies, use existing data/ specimens
34
Office of Human Research Protections (OHRP)
agency that administers and enforces regulations
35
Data Safety & Monitoring Board (DSMB)
Semi-independent committee not involved with the conduct of the study but charged with reviewing study data as study progresses, to asses undue risk or benefit DURING Can stop study early for either overly-positive or overly negative findings
36
Best type of outcome?
Patient oriented
37
Outcomes (2)
Patient-Oriented Individual vs. Combined Surrogate: decreases blood pressure Patient benefit: keeps patient out of hospital
38
Internal Validity
Assessment (measurements) Scientifically-rigorous and standardized Objective better than subjective assessments Valid, accurate, and reproducible
39
Inventional Study Designs alternate names (5)
clinical trial, clinical study, experimental study, human study, investigational study
40
Key Difference in Investigational vs Observational
Investigator selects "interventions" Allocates subjects into groups More "rigorous" in ability to show cause and effect
41
Can investigational studies show causation?
Yes
42
Phases of Interventional studies trends (3)
Phase 1 to Phase 4 Population tends to increase Tends to get longer in duration Change in focus as you move up
43
Phases of Interventional studies (4)
Phase 1: Safety Phase 2: Effectivness Phase 3: Effectivness Phase 4: Safety
44
Pre-Clinical Phase
Prior to human investigation | Bench and animal research
45
Phase 1
``` New drug/ device/ procedure Small N (20-80) Healthy volunteers Assess safety and toxicity, dosing, and pharmcokinetics Short duration (few days to week) ```
46
Phase 2
New drug/ device/ procedure, indication/ study population Large N (100-300) Utilize patients of interest with condition Expands purpose of Phase 1 safety but assess efficacy Short to medium duration (several months) Narrower inclusion criteria Major flaw is limitation, want any changes to be due to intervention
47
Phase 3
New drug etc, indication or study population Even large N (1,000-3,000) Patients with condition Determine safety and primary purpose efficacy Longer duration (months to years) Superiority vs non-inferiorty vs equivalence formats Phase FDA mandates before drug approval [Drug with name could still be phase 3 if new condition or drug used in group not approved of when in phase 3 before]
48
Phase 4
Post marketing Long-term effects (risks/benefits) in large population of diseased Registries, Surveys Drug will always have name if in Phase 4
49
Advantages of Interventional Trials (2)
Cause precedes effect (shows causation) | Only design used by FDA for approval
50
Disadvantage of Interventional (4)
Cost Complexiy/Time Ethical consideration Generalizability (external validity)
51
Which Study design is described by the following? | Systemic review of all published literature of topic up to a specific point in time
Systemic Review
52
What is entailed with a meta-analysis?
It takes all studies and put them together so that it appears that there was one large, new study and build a consensus from the meta-analysis
53
Describe Case reports and Case series
Case reports and case series are just reports of one or more individuals that have had a unique experience; usually hypothesis generated
54
Inclusion & amp; exlusion criteria?
Desired vs logical vs plausible selection criteria These absolutely impact generalizability Control groups needs to be identical to the case group in every way except for the presence of disease
55
True or False, observational and interventional studies must be reviewed by an IRB prior to study initiation
True, observational and interventional studies use human subjects
56
Explanatory Interventional Studies
Explain impact talk about causation A lot of restrictions These studies not for clinical practice, no room for adjustment So restrictive can't even adjust dosage
57
Pragmatic interventional studies (3 key elements)
Allow flexibility to change dosage and add other drugs Still Interventional studies Key elements -No placebo: practicality, no actually physician uses placebos -Let in the regular people: people with multiple morbidities and drugs -Use own clinical judgements on how they treat their patients
58
Limitations of Pragmatic studies (3)
1) Lose the researches control of how the physician prescribes that prescription or manages the patients 2) Lose all of the advantages of the explanatory method [Lock, removal of confounding] 3) Loss of control and rigidity
59
Designs of Intervential Studies (4)
Simple Factorial Parallel Cross-Over
60
Simple
Divides (randomizes subjects in +2 groups) A single randomization process Commonly used to test a single hypothesis Any number of groups only one randomization
61
Factorial
Divides in greater than or equal to 2 groups Further subdivides into each group Randomizes at least twice Takes more people but answers more questions Tests usually at second randomization point
62
Components of Factorial Studies (5)
Improves efficiency for answering clinical questions Increase study populations sample size Increase complexity (which may be a barrier to recruitment) Increase risk of drop outs May restrict generalizability results
63
Parallel
Groups simultaneously and exclusively managed No switching after initial randomization Can be simple or factorial
64
Cross-Over (self control)
Groups serve as own control by crossing over from one intervention to another during study Allows small N Between & Within- Group comparison possible -comparison of A vs B -comparison of seiners on A and seiners on B Forced switching, everybody switches
65
Washout Period
Period of time to remove first drug from system Could be 1 day to 1 month Can be at beginning or middle Can be part of lead-in phase
66
Run in/ Lead in phase
All study subjects blindly given one or more placebos for initial therapy to determine "new" baseline elf disease (standardization) - Can assess study protocol - Can "wash out" existing medication - Can determine among to placebo-effect
67
Disadvantages of Cross-Over design (6)
- Only suitable for long term conditions which are not curable or which treatment provides short-term relief - Duration of study for each subject is longer - Carry-over effects during cross over - Treat-by-period interaction - Small N - Complexity in data analysis
68
Treat-by-period interaction is?
-Differences in effects of treatments during different time periods
69
Outcomes/Endpoints
Primary Secondary/Teritary/ etc Composite
70
Primary Outcome
Most important key outcomes Main research question (hypothesis) Can have multiple
71
Secondary/ Tertiary Outcomes
Lesser importance yet still valuable Possible for future hypothesis question Other related info generated from data
72
Composite
Combines multiple endpoints into a single outcome Could be considered primary outcome, and if so, then secondary outcomes may be the individual outcome elements from composite
73
Measures of Association, how to count a person
One person can contribute toe ash of the three individual elements but only counted once in overall amount Usually secondary outcomes are listed as the breakdown composite Followed by non composite secondaries
74
Examples of Patient-Orientated Endpoints
``` Death Stroke or Myocardial infarction Hospitalization Preventing need for dialysis [Patient centered outcomes are more impactful] ```
75
Examples of Surrogate Markers
``` [Elements used in place of evaluating patient0oriented (direct endpoints] Blood pressure (risk of stroke) Cholesterol (risk of heart attack) Change in SCr (worsening renal function) ```
76
Sample Selection & Group allocation
Can be non-random or random | If random then randomly picked (not randomization)
77
Randomization
baseline characteristics Purpose: to make groups as equal as possible Based on known and unknown confounders equality of groups is determined by p values [Can be shown in table format, text statement, key of table]
78
Types of Randomization (3)
Simple Blocked Stratified
79
Simple Randomization
Equal probability for allocation to one of study groups
80
Blocked Randomization
Ensures balance within each interventional group Ensure groups equal in size Last person in each block is put where they need to belong to even out groups Someone outside investigation must control this
81
Stratified randomization
ensures balance with known confounding variables examples: gender, age, disease severity/duration, comorbidities Can also pre-select levels to be balanced within each interfering factor (confounder)
82
Masking types (3)
Single Blind Double Blind Open-Label
83
Single Blind Masking
study subjects are not informed of intervention Clinicans know Only okay if objective study, researchers have no interaction with patients
84
Double Blind Masking
No one knows | Someoneoutside investigation controls this
85
Open-Label
Everyone knows Some studies you can't blind or doesn't matter if patients know Comparing injectable drug with inhaler [would have to have double dummy-placebos]
86
What type of survey can be used to assess adequacy of blinding?
Post-hoc surverys
87
Forms of Blinding (3)
Placebo (Dummy) Placebo-effect Hawthorne effect
88
Placebo (Drummy)
Inert treatments made to look identical to active treatments | Double dummy if two placebos
89
Placebo-effect
improvement in conditions, power of suggestion
90
Hawthrone effect
desire of patients to "please" investigators by reporting positive results
91
Post-hoc sub-group analysis
[Not accepted unless prospectively planned] | Data dredging or fishing
92
Managing Drop-outs/Lost to follow up
Include them Ignore them Treat them "as treated"
93
Incude them Management
Intent to treat Example: last known assessment carried forward Impact: -Preserves randomization process -Preseves baseline and group balance at baseline which controls for known and unknown confounders -Maintains statistical power (original size sample)
94
Ignore them Management
Include only compliant or completing subjects Per-Protocol or Efficacy Analysis -Compliance predefined (80-90%) -Impact of Per-protocol Biases estimates of effect (over-estimates) [reduces generalizability since not including those that could only do 65%]
95
Treating them "as treated"
Ignores group assignments Allows subject to switch groups and be evaluated in grips they moved to, ended in, or stayed in most If they switch or primary care switches to other group by accident
96
Assessing Adherence (3)
Drug levels Pill counts Bottle counter-tops
97
Methods of improving adherence
- Frequent follow up visits/ communication - Treatment alarms/ notification - Medication blister packs or dosage containers
98
Case-Control studies allow the research to what?
Be a passive observer of natural events occurring in the individuals with the disease/condition of interest (cases) who are compared with people who do not have conditions (controls) Commonlly generates an Odds Ratio as measure of association
99
The control group supplies information about what?
The expected baseline risk factor profile in the population from which the cases are drawn
100
Case-control studies have group assignments based on what?
Disease status
101
What is case-control useful?
When studying a rare disease or investigating an outbreak
102
Case-Control Study Designs Table
2x2 table Know column totals What we don't know is of those A + C people which will end up in box A and which in box C Compare odds of exposure in the disease compared to nondiseased
103
Reasons to select Case-Control design (5)
- Unable to "randomize" (unethical, Illegal, not feasible) - Limited resources (Time, money, subjects) - The disease of interest is rate - Prospecive exposure data, derived from prospective Cohort study is difficult/expensive to obtain and/or very time inappropriate
104
Case controls studies are prospective or retrospective?
Retrospective (always)
105
Retrospective study
Know outcome
106
Strengths of Case-Control Studies (7)
- Good for assessing multiple exposures of one outcome - Useful when disease are rare - Useful in calculating odds and Ors - Less expensive than interventional trials and prospective cohorts - Useful when ethical issues limit interventional studies - Useful when dynamic populations [Dont have to worry about loss to follow up] - Useful when disease has a long induction/latent period
107
Weakness of Case-Contrl Studies (4)
Limited by amount of data Worry about misclassifications Worry about have enough data Worry about if disease has changed or exposure has changed
108
The way controls are selected for is what?
Major determinant in whether any conclusion is valid | Internal validity
109
Type of study that is built from investigators taking people with disease and finding people without disease
Case-control study
110
Case-Crossover Design
Subjects are their own controls during the other times they don't have the acute change in risk Levels of risk changes over the year
111
What study design is able to adequately attempt to address the issue of "temporality"
Case-Crossover Design
112
Nested Case Control studies
These are case-control studies conducted after, or out of, a prospective COHORT study Subjects in cohort study ultimately develop disease are defined as cases These defined cases used in a new (different) study design Used to evaluate other exposures
113
Cohort set up on what and hunts for what?
Set up on exposure and hunts for outcome
114
Sampling of controls is used for?
Nested Case-control studies or when "sampling" necessary from Cohort
115
Three types of sampling of controls
Survivor sampling Base sampling Risk-set sampling
116
Survivor sampling
Sample of non-disease individuals (survivors) at end of study period
117
Base sampling
Sample of non-disease individuals at start of study
118
Risk-Set sampling
Sample of non-disease individuals during study period at same time when Case was diagnosed
119
Matching Schemes
Individual matching Group matching Don't match anything that might be a risk factor
120
Individual matching
Matches individuals based on specific patent based characteristics Used when have unique and important characteristics
121
Group matching
Proportion of cases and proportion of controls with identical characteristics are matched 41% cases are males so 41% of controls are males
122
In Group matching does case or control need to be selected first?
Case
123
Cohorts are stronger than case controls only applies to what?
Prospective NOT RETRO | Cohort and caes controls are equal in terms of retrospective
124
Cohort Study allow researcher to?
To be a passive observe of natural events occurring in naturally-exposed and unexposed groups Useful when studying rare exposure Commonly generates Risk Ratio (RR) as measure of association
125
Group allocation of Cohort studies is based on what?
Exposure status OR group membership (something in common)
126
Cohort studies also termed what?
Incidence studies/ Follow up studies/ Longituidinal studies
127
Cohort Study Designs Table
2x2 Table | Know who were exposed or not, what we don't know is if they got the disease or not
128
Reasons to select Cohort design (4)
- Unable to "randomize" - Limited resources (more so for prospective) - The exposure of interest is rare - More interested in incidence rates/ predictors of risk for outcome
129
Cohort Study Designs can be directed in what direction?
Prospective, Retrospective, Ambidirectional fashion | Group assignment still based on exposure
130
Prospective Cohort Studies
Exposure group is selected on the basis of past or current exposure and both groups (exposure and non-exposure) followed into future to assess for outcomes and then compare - Takes longer - Still group allocated based on exposure - It is possible to lose people - Incidence study cause can look at newly diseased
131
Retrospective Cohort Studies
At the start of the study, both the exposure and the outcome of interest have occurred Retrospectively start at time of exposure and follow forward to the point of outcome occurrence in the present Exposure still have to occur before outcome, group allocation based on exposure Know outcomes when starting group but ignore them Downside: at mercy of data available, accuracy and detail
132
Ambidirectional Cohort Studies
Uses retrospective design to assess past differences but adds all data collect on additional outcomes prospectively from start of study Looking for outcomes in past and future Only am bidirectional study
133
Cohort is what? Types?
A group with something in common Birth Cohort: individuals born in same region Inception Cohort: individuals coe to same point (work)
134
Cohort sizes (3)
Fixed Closed Open (dynamic)
135
Fixed cohort
can't gain members but can have loss to follow up | 911 firefighters
136
Close cohort
No gain or loss Walled off room with no doors Short term
137
Open (dynamic) cohort
has new additions and some loss | Framingham heart study, babies added, elderly die
138
Unexposed group can come from 3 sources
Internal (best): same cohort General population: randomly selected Comparison: least acceptable
139
Comparison cohort source
Least acceptable Simple attempt to match groups as close as possible on numerous personal characteristics (can't control for other potentially harmful exposures) Find them where you can, make sure not exposed
140
Strengths of Cohorts (7)
- Good for assessing multiple outcomes of one exposure - Useful when exposure are rare - Useful in calculating RISK and RR - Less expensive than interventional - Good when ethical issues limit use of interventional - Good for long induction/latent periods (Retrospective) - Able to present temporality (prospective)
141
Advantages of Prospective Cohort (5)
-Can obtain greater amount of study info [more control over specific data collection, get more data, can educate patients on what to avoid] -Follow-up/ Tracking of patients may be easier -Better at giving answer to "temporality" -May look at multiple outcomes for one exposure -Calculate incidence and incidence rates
142
Disadvantage of Prospective Cohort (4)
- Time, expense, lost to follow up - Not efficient for rare disease - Not suited for long induction - Exposure may change over time
143
Advantages of Retrospective Cohort (4)
- Best for long induction/latency conditions - Able to study rare exposures - Useful if the data already exists - Saves time and money compared to prospective
144
Disadvantages of Retrospective Cohort (4)
- Requires access to charts, database - "Information" may not factor in or control for other exposures - Patients may not be available for interview or contact - Exposure (or amount) may have changed over time
145
Issues affecting outcome occurrence in groups (3)
``` Levels of exposure (stratify) Induction period (interval between exposure and onset) Latency period (interval between onset and clinical diagnosis) ```
146
Key biases in Cohort Studies
Healthy work effect | Selection bias
147
Cross-sectional studies examines?
relationships of health/ disease to other variables of interest at same time aka PREVALENCE Called cross sectional because information gathered represents what is occurred at a point in time or time frame a-cross a large population SNAPSHOT in time Any study with word NATIONAL in it
148
Cross sectional studies
Focueses simultaneously on disease & population characteristics, including exposure, health status, health care, utilization etc - seeks associations - generates and tests hypothesis - by repetition in different time periods, measure trends
149
Cross section studies studies what 3 things
Person, Place, TIme
150
Cross sectional advantages
- Fairly quick and easy to perform for researcher using data (data already collected) - Useful for determining prevalence and risk factors across populations - useful for measuring current health status & planning health services - Useful for evaluation differences in subgroups within populations - Require IRB review but low level expediated
151
Disadvantages of Cross sectional
- Prevalent cases may represent survivors (bias) - Difficult to study disease of low freq - Problems determing temporal relationship of a presumed cause & effect (exposure and disease histories taken at same time)
152
2 Cross sectional approaches
1. Collect data on each member of population | 2. Take same of pop and draw inferences
153
NHANES
Assess the health and nutritional status of adults & children Combines interview and physical examinations Interview includes demographic, socioecominic, diet Oversamples greater than 60, african america/ hispancis
154
NHIS
CDC interview, personal household contacts, non impatient, dr. offices Not physical screening but data is direct (not from chart) Health of the civilian, non-institutionalized population
155
NAMCS
reliable information about the provision and use of ambulatory medical care services in US Based on sample of visits to non-federal, office based physicians Dr. offices, free clinics, walk in and out, no inpatient Info from charts
156
NHCS
combined study designed to describe national patterns of healthcare delivery in non-federal hospital based settings -discharges of impatient departments, visits to ER, outpatient department, ambulatory surgery centers intergrates 3 previous studies (NHDS, NHSMCS, DAWN)
157
BRFSS
A state based telephone health survey that collects info on health risk behaviors, preventative health practices, and health care access Monthly collection
158
Sensitivity
``` How well a test can detect presence of disease when in fact disease is present -positivity of test -accuracy in those with disease Sens= YP/ (YP+FN) Sens= YP/ (all diseased) Sens=A/ (A+C) ```
159
Specificity
How well a test can detect absence of disease in those that disease is absent Spec= NN/ (NN+NP) Spec= NN/ all non disease Spec= D/ (B+D)
160
Positive Predictive Value (PPV)
how accurately a positive test predicts the presence of disease PPV=YP/ (YP+NP) PPV= YP/ (total positive test) PPV= A/ (A+B)
161
Negative Predictive Value (NPV)
how accurately a negative test predicts the absence of disease NPV=NN/ (NN+YN) NPV= NN/ (all negative tests) NPV= D/ (B+D)
162
Diagnostic Accuracy (DA) or Diagnostic Precision (DP)
proportion of time that a patient is correctly identified as either having disease or not having disease with positive or negative test DA/DP= (YP+YN)/ (All patients)
163
Likeihood Ratio's (LR)
ratio of the proportion of a given test result (pos or neg) for a person with the disease/ propbabiliy of the same result (pos or neg) for a person without the disease
164
Likeihood Ratio Positive (LR+)
Probabily of a positive test in the presence of disease/ probability of a positive test in the absence of disease Sensitivity/ (1-specificity) [(A/A+C)/(B/(B+D)]
165
Likeihood Ratio Negative (LR-)
Probability of a negative test in the presence of disease/ probability of a negative test in the absence of disease 1-sensitivity/ specificity [(C/(A+C)/(D/D+B)]
166
LR bottomline
LR+ >10 to demo most bene | LR-
167
For screening tests with numerical values we use what?
ROCs receiver operator curves a more efficient way to show a relationship between sensitivity and specificity for test with numerical (continuous) outcomes
168
Medical Screenings (2)
Validity | Reliability
169
Validity
ability to accurately discern between those that do and those that do not have the disease Telling the truth
170
Reliability
Ability of a test to give the same result on repeated uses Analogous to reproducibility/ consistency A valid test is always reliable, but a reliable test is not always valid
171
True or false, selection bias is less of, or not, a significant issue during case-crossover study designs
True
172
When is inception cohort studies useful?
For single-group non-comparisons for incidence rate determination
173
What is the effect of loss to follow up?
Lower sample size Increase risk of type 2 error Study populations may not be equal between groups
174
True of false, most cross sectional studies are surveys of or databases related to different aspects of US populations
True
175
True of false, probability samples are NOT the most common type of sampling scheme
False
176
When are probability samples most even?
When you use a multiprobabilty, multistage selection
177
List 2 categories of sampling schemes of cross sectional studies
Probability samples and systemic (convience) samples
178
Systemic samples of cross sectional sampling schemes
Decide on what fraction of population is to be sampled and how they will be sampled
179
2 approaches to collection of new info in cross sectional studies
Questionaire/ Surveys | Physical assessments
180
What should be considered when determining an appropriate sample size?
Take into consideration the number of drop outs
181
What is the danger of the selection process?
Misclassification
182
T/F: Most observation studies designs are NOT able to prove causation
True
183
What type of study design is described below? Researchers observe subject elements occurring naturally or selected by individuals (natually or freely)
observational
184
What type of study is commonly era and the only type to prove causation
Interventional studies
185
Case-control studies commonly generate the ____ ____ as measure of association
Odds ratio (OR)
186
Cohort studies commonly generate the ____ _____ as measure of association
Risk Ratio (RR)
187
Cross-sectional studies seek ___, not causation
Assocations
188
A highly sensitive test has:
a low false negative rate
189
A high specificity test has:
a low false positive rate