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General - Laatste dingen 5 Flashcards

1
Q

Nystagmus changing direction
a. peripheral
b. central

A

b. central

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2
Q

Positional nystagmus
a. peripheral
b. central

A

b. central

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3
Q

PLR
a. II, III
b. II, III, IV
c. III, IV, VI
d. II, III, IV, VI

A

b. II, III, IV

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4
Q

Eye position
a. II, III
b. II, III, IV
c. III, IV, VI
d. II, III, IV, VI

A

c. III, IV, VI

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5
Q

Taste
a. VII, IX, X
b. IX, X, XI
c. IX, X, XII
d. IX, X, XI

A

a. VII, IX, X

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6
Q

Dichomatous variables
a. continu
b. disease/no disease

A

b. disease/no disease

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7
Q

Higher prevalence improves
a. PPV
b. NPV

A

a. PPV

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8
Q

Lower prevalence improves
a. PPV
b. NPV

A

b. NPV

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9
Q

Series
a. increases sensitivity
b. increases specificity

A

b. increases specificity

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10
Q

Parallel
a. increases sensitivity
b. increases specificity

A

a. increases sensitivity

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11
Q

Type 1 error
a. null hypothesis incorrectly rejected
b. null hypothesis incorrectly accepted

A

a. null hypothesis incorrectly rejected

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12
Q

Type 2 error
a. null hypothesis incorrectly rejected
b. null hypothesis incorrectly accepted

A

b. null hypothesis incorrectly accepted

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13
Q

Systemic error
a. independent of sample size
b. dependent of sample size

A

a. independent of sample size

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14
Q

Random error
a. independent of sample size
b. dependent of sample size

A

b. dependent of sample size

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15
Q

Selection bias
a. no proper randomization
b. measured/collected/interpreted inaccuratly
c. another exposure that influences outcome

A

a. no proper randomization

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16
Q

Information bias
a. no proper randomization
b. measured/collected/interpreted inaccuratly
c. another exposure that influences outcome

A

b. measured/collected/interpreted inaccuratly

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17
Q

Confounding bias
a. no proper randomization
b. measured/collected/interpreted inaccuratly
c. another exposure that influences outcome

A

c. another exposure that influences outcome

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18
Q

Hierarchy
a. cohort, cross sectional, case control
b. cross sectional, case control, cohort
c. cohort, case crontol, cross sectional
d. case control, cohort, cross sectional

A

c. cohort, case control, cross sectional

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19
Q

Cross sectional
a. exposure + outcome assessed at the same time
b. selected on outcome status
c. selected on exposure status

A

a. exposure + outcome assessed at the same time

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20
Q

Case control studies
a. exposure + outcome assessed at the same time
b. selected on outcome status
c. selected on exposure status

A

b. selected on outcome status

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21
Q

Cohort studies
a. exposure + outcome assessed at the same time
b. selected on outcome status
c. selected on exposure status

A

c. selected on exposure status

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22
Q

Efficient for rare outcomes
a. cross sectional
b. case control studies
c. cohort studies

A

b. case control studies

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23
Q

Efficient for rare exposures
a. cross sectional
b. case control studies
c. cohort studies

A

c. cohort studies

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24
Q

Risk
a. measure of frequency of occurence of outcome taking into account length of time of observation
b. probabillity of occurence of diease during specified time period

A

b. probabillity of occurence of diease during specified time period

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25
Rate a. measure of frequency of occurence of outcome taking into account length of time of observation b. probabillity of occurence of diease during specified time period
a. measure of frequency of occurence of outcome taking into account length of time of observation
26
Rare disease in stable population a. risk higher than rate b. rate higher than risk c. rate = risk
c. rate = risk
27
Exposed a. rate/risk/odds b. rate c. risk d. odds
a. rate/risk/odds
28
Unexposed a. rate/risk/odds b. rate c. risk d. odds
b. rate
29
Simple linear regression a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
a. 1 predictor, 1 outcome
30
Multiple linear regression a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
b. 2 predictors, 1 outcome
31
Logistic regression a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
c. predictor with binary outcome
32
Independent t-test a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
e. groups from different populations
32
Paired t-test a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
d. groups from same population
33
ANOVA a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
f. groups, 1 or more predictors, 1 outcome
33
MANOVA a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
g. groups, 1 or more predictors, 2 outcomes
34
Pearson's r (correlation) a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
h. 2 con. variables related
35
Spearman a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
i. instead of Pearson
36
Sign test a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
j. instead of one-sample t-test
37
Chi square a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
o. instead of Pearson (drug effect on ... --> yes or no)
38
Kurshal Wallis a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
k. instead of ANOVA
39
ANOSIM a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
l. instead of MANOVA
40
Wilcoxon Rank-sum a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
m. instead of independent t-test
41
Wilcoxin signed rank a. 1 predictor, 1 outcome b. 2 predictors, 1 outcome c. predictor with binary outcome d. groups from same population e. groups from different populations f. groups, 1 or more predictors, 1 outcome g. groups, 1 or more predictors, 2 outcomes h. 2 con. variables related i. instead of Pearson j. instead of one-sample t-test k. instead of ANOVA l. instead of MANOVA m. instead of independent t-test n. instead of paired t-test o. instead of Pearson (drug effect on ... --> yes or no)
n. instead of paired t-test
42
BE positive a. metabolic alkalosis b. metabolic acidosis
a. metabolic alkalosis
43
BE negative a. metabolic alkalosis b. metabolic acidosis
b. metabolic acidosis
44
PCO2 > 45 mm Hg a. respiratory alkalosis b. respiratory acidosis
b. respiratory acidosis
45
PCO2 < 35 mm Hg a. respiratory alkalosis b. respiratory acidosis
a. respiratory alkalosis
46
Na higher a. alkalosis b. acidosis
a. alkalosis
47
Na lower a. alkalosis b. acidosis
b. acidosis
48
Cl higher a. alkalosis b. acidosis
b. acidosis
49
Cl lower a. alkalosis b. acidosis
a. alkalosis
50
SID a. Na + K + Ca + Mg = Cl - lactate - HCO3 - other buffers (albumin) b. Na + K + Ca + Mg = Cl + lactate + HCO3 + other buffers (albumin) c. Na + K + Ca + Mg + Cl + lactate = HCO3 + other buffers (albumin) d. Na + K + Ca + Mg - Cl - lactate = HCO3 + other buffers (albumin)
d. Na + K + Ca + Mg - Cl - lactate = HCO3 + other buffers (albumin)
51
SID > 24mEq/L a. alkalynizing b. acidifying
a. alkalynizing
52
SID < 24mEq/L a. alkalynizing b. acidifying
b. acidifying
53
Somatostatin (D-cells pancrease) a. increase glucagon/insulin b. decrease glucagon/insulin c. increase glucagon, decrease insulin d. decrease insulin, increase glucagon
b. decrease glucagon/insulin
54
Calciumcarbonate (CaCO3) crystals a. large round b. small round c. small squares
a. large round
55
Calcium phosphate crystals a. large round b. small round c. small squares
b. small round
56
Calcium oxalate a. large round b. small round c. small squares
c. small squares
57
Renal medulla vs. cortex a. hypoechoic b. hyperechoic
a. hypoechoic
58
Hypoechoic a. darker b. whiter
a. darker
59
Hyperechoic a. darker b. whiter
b. whiter
60
Gastrin a. stimulates gastric acid production b. decreased gastric acid production
a. stimulates gastric acid production
61
Uroliths type 1 (90%, yellow-green, easily fragment) a. calciumcarbonate (CaCO3) b. calciumcarbonate (CaCO3) + calciumphosphate
a. calciumcarbonate (CaCO3)
62
Uroliths type 2 (gray-white, smooth, more resistant) a. calciumcarbonate (CaCO3) b. calciumcarbonate (CaCO3) + calciumphosphate
b. calciumcarbonate (CaCO3) + calciumphosphate

General (18 decks)

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