Final

Question 1

What does p value tell you?

Answer 1

How probable a result was due to luck

Question 2

What is a .15 p value?

what is considered statistically significant?

Answer 2

.15= 15% chance result was due to luck

.05 is considered statistically significant

> 5%= results were negative

Question 3

Where do you look in a research paper for MCID?

Answer 3

Results or Discussion

Question 4

What is the Suggest MCID for:

OPS=
PSFS=
Oswestry=
Roland Morris=
AROM=

Answer 4

OPS= 2-3
PSFS= 3 for 1, 2 for 3
Oswestry= 4-6
Roland Morris= 2-5
AROM= 20% improvement

Question 5

Whats considered a _ benefit for MCID calculation in Systematic Reviews?

Small
Medium
Large

Answer 5

Small= 0.2
Medium=0.5
Large=0.8

Question 6

What is a perfect NNT?

Answer 6

1

Question 7

What is considered a successful NNT?

Answer 7

single digits

Question 8

How is agreement between docs measured?

Answer 8

Kappa

Question 9

What is considered to be a statistically significant Confidence interval?

Answer 9

One that does not cross the line of no effect.

Question 10

A study that does not compair dropouts is called a _

Answer 10

As Per Protocol

Question 11

What does Intent to treat decrease the chances of

Answer 11

Over-estimation of treatment results

Question 12

Is it okay to not have phase “intent to treat” ever?

Answer 12

Yes, if they’re no dropouts or crossovers.

Question 13

What 3 pieces of information can you gain from a forest plot?

Answer 13

1) Statistical Significance
2) Clinical significance
3) Precision

Question 14

What are the big 3 questions to ask about diagnostic tests?

Answer 14

1) How good is the TEST/sign/symptom?
2) How STRONG is the evidence behind the claim.
3) How APPLICABLE is it to my patients?

Question 15

3 questions to ask for Therapy?

Answer 15

1) How likely/ how much is it going to help?
2) How STRONG is the evidence
3) How APPLICABLE is it to my patients?

Question 16

Quality of an RCT (ABCDFIX)

Answer 16

Allocation
Blinding
Comparability
Drop Outs (5-20%)
Follow Up
Intention to treat analysis
X-factor (biases)

Question 17

Calculation for Positive LR=

Answer 17

Sensitivity/1-specificity

Question 18

Calculation for Negative LR=

Answer 18

1=sensitivity/specificity

Question 19

2/5/10 rule=

Answer 19

+LR ratio of = increase in post test probability

2=15%
5=30%
10=45%

Question 20

Rule for -LR=

Question 21

A test with a specificity of 95% means that if tested on 100 people, _% would cross react with condition free subjects

Answer 21

5%

Question 22

A positive test with high specificity is most helpful at ruling in a condition, but only if these 3 guidlines are followed

Answer 22

1) Specificity and Sensitivity dont add up to be 100
2) There is at least a 50% probability that the patient has the condition pre-test
3) Subjects that the test is based on are similar to your patients

Question 23

(T/F) The actual predictive value of a test is always lower than the isolated specificity number?

Answer 23

TRUE

Question 24

What is a perfect Kappa number?

Poor=

Answer 24

Perfect= 1

Poor=<0.25