SantΓ© Publique Test

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SantΓ© Publique Test

 

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Bias: The true biologic variation in clinical measurement is:

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To measure the risk of fetal death occurring after 28 completed weeks of gestation: by calculation of:

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Properties and uses of the mode. The mode is / has:

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The result of evaluation show that Good, Average, Poor Fully agree, agree, doubt, disagree .totally disagree is the type of:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ αž˜αž’αŸ’αž™αž˜ ៦០០០០ αž“αžΆαž€αŸ‹ αž˜αžΆαž“αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αŸ’αž˜αž—αžΆαž–αž€αžΎαžαžαŸ’αž˜αžΈαžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαž€αžƒαžΎαž‰αž“αŸ…αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ៦០ αž“αžΆαž€αŸ‹, αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αžŸαž›αŸ‹αž–αžΈαž†αŸ’αž“αžΆαŸ†αž…αžΆαžŸαŸ‹ (្០៑៣) αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ្០ αž“αžΆαž€αŸ‹ αž αžΎαž™αžˆαžΊαž”αž“αŸ’αžŠαžŠαž›αŸ‹αž…αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž’αžαŸ’αžšαžΆαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž‡/αž„ αžšαž”αŸαž„αž‚αžΊ:

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αž…αŸ†αžŽαž»αž…αž”αŸ’αžšαžœαŸ‰αžΆαž‘αž„αŸ‹ (Point prΓ©valence)

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αž’αžαŸ’αžšαžΆαž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹ ( Prevalent Rate/Taux de PrΓ©valent) αžαŸ’αžšαžΌαžœαž”αžΆαž“αž‚αžŽαž“αžΆαžŠαžΌαž…αžαž‘αŸ…:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ αž˜αž’αŸ’αž™αž˜ ៦០០០០ αž“αžΆαž€αŸ‹ αž˜αžΆαž“αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αŸ’αž˜αž—αžΆαž–αž€αžΎαžαžαŸ’αž˜αžΈαžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαž€αžƒαžΎαž‰αž“αŸ…αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ៦០ αž“αžΆαž€αŸ‹, αž‡αŸ†αž„αžΊαžšαž”αŸαž„αžŸαž€αž˜αžŸαž›αŸ‹αž–αžΈαž†αŸ’αž“αžΆαŸ†αž…αžΆαžŸαŸ‹ (្០៑៣) αž˜αžΆαž“αž…αŸ†αž“αž½αž“ ្០ αž“αžΆαž€αŸ‹ αž αžΎαž™αžˆαžΊαž”αž“αŸ’αžŠαžŠαž›αŸ‹αž…αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž’αžαŸ’αžšαžΆαž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹αž‡/αž„ αžšαž”αŸαž„αž‚αžΊ:

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The time of onset is clearly defined in some diseases, for example:

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αž’αŸŠαžΈαžŸαŸ’αžŠαžΌαž€αŸ’αžšαžΆαž˜ (Histogram) αž‚αžΊαž‡αžΆαž€αŸ’αžšαžΆαž αŸ’αžœαž·αž€αž˜αž½αž™:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒ ៦០ αž“αžΆαž€αŸ‹αž“αž·αž„αž’αžΆαž™αž»αž…αžΆαž”αŸ‹αž–αžΈ ៧ αžαŸ’αž„αŸƒαžŠαž›αŸ‹ ៑ αž†αŸ’αž“αžΆαŸ†αž˜αžΆαž“ αŸ¦αŸ¦αŸ αž“αžΆαž€αŸ‹ αž“αŸ…αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៧ αžαŸ’αž„αŸƒαžŸαŸ’αž›αžΆαž”αŸ‹ ៦ αž“αžΆαž€αŸ‹ αž“αž·αž„ αž…αžΆαž”αŸ‹αž–αžΈαŸ§αžαŸ’αž„αŸƒαžŠαž›αŸ‹αŸ‘αž†αŸ’αž“αžΆαŸ†αžŸαŸ’αž›αžΆαž”αŸ‹ ៦៦ αž“αžΆαž€αŸ‹αŸ” Taux de mortalitΓ© Post PΓ©rinatal, Post Perinatal Mortality Rateαž˜αžΆαž“:

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Definition of median, Median is:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ αŸ¦αŸ αŸ αŸ αŸ αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ†αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž˜αžΆαž“ αŸ’αŸ€αŸ αŸ αž“αžΆαž€αŸ‹αŸ” αž˜αžšαžŽαŸˆαž—αžΆαž–αž‘αžΌαž‘αŸ…αž˜αžΆαž“ αŸ¦αŸ αŸ αž“αžΆαž€αŸ‹ αž“αž·αž„αž”αŸ’αžš/αž‡αž˜αž’αŸ’αž™αž˜αž˜αžΆαž“:

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αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆ αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αžšαž”αžŸαŸ‹αž˜αžΆαžαžΆαž˜αžΆαž“ ៦០ αž—αžΆαž‚ ៑០០០ αž€αžΎαžαžšαžŸαŸ‹αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆ:

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The scale uses names, numbers or other symbols to assign each measurement to one of a limit number of categories that cannot be ordered one above the other is:

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Prevalence is useful in:

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In epidemiological practice, incidence rate are:

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This formula for calculated:

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αžαžΆαžšαžΆαž„αžŠαŸ‚αž›αž˜αžΆαž“ Variable αž˜αž½αž™ αž‚αžΊαž˜αžΆαž“:

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This formula for calculated:

Total # death due to all causes in a defined area during a defined period X 1000

Mean population at risk in the same area during the same period

 

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αž€αŸ’αž“αž»αž„αž…αŸ†αžŽαŸ„αž˜αž‘αžΆαžšαž€ ៑០០០ αž€αžΎαžαžšαžŸαŸ‹αž˜αžΆαž“αž˜αžΆαžαžΆαžŸαŸ’αž›αžΆαž”αŸ‹ ៦០ αž“αžΆαž€αŸ‹αž‘αžΆαž€αŸ‹αž‘αž„αž€αžΆαžšαž˜αžΆαž“αž•αŸ’αž‘αŸƒαž–αŸ„αŸ‡ αž“αž·αž„ αž†αŸ’αž›αž„αž‘αž“αŸ’αž›αŸ αžŸαž»αž…αŸ’αž…αž“αžΆαž€αžšαž“αŸαŸ‡αž”αž‰αŸ’αž‡αžΆαž€αŸ‹αž€αžΆαžšαž‚αžŽαž“αžΆ:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ ៦០០០០ αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸαŸ‡αž˜αžΆαž“ ្ៀ០០ αž“αžΆαž€αŸ‹αŸ” αž’αžαŸ’αžšαžΆαž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“ αž˜αžΆαž“:

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Definition of mid range, mid range is:

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αž“αŸ…αž€αŸ’αž“αž»αž„αžαŸαžαŸ’αžαž”αŸ‰αŸƒαž›αž·αž“αž˜αžΆαž“αž”αŸ’αžšαž‡αžΆαž‡αž“ αŸ¦αŸ αŸ αŸ αŸ αž“αžΆαž€αŸ‹ αž“αŸ…αžŠαžΎαž˜αž†αŸ’αž“αžΆαŸ†αŸ’αŸ αŸ‘αŸ€αŸ” αž‘αžΆαžšαž€αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ†αž“αŸ„αŸ‡αž˜αžΆαž“ αŸ’αŸ€αŸ αŸ αž“αžΆαž€αŸ‹αŸ” αž˜αžšαžŽαŸˆαž—αžΆαž–αž‘αžΌαž‘αŸ…αž˜αžΆαž“ αŸ¦αŸ αŸ αž“αžΆαž€αŸ‹ αž“αž·αž„αž”αŸ’αžš/αž‡αž…αž»αž„αž†αŸ’αž“αžΆαŸ†αž˜αžΆαž“:

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αž˜αžΆαž“αž’αŸ’αž“αž€αž‡αŸ†αž„αžΊαž…αŸ†αž“αž½αž“αŸ₯αž“αžΆαž€αŸ‹αž˜αž€αžŸαŸ†αžšαžΆαž€αž“αŸ…αž€αŸ’αž“αž»αž„αž˜αž“αŸ’αž‘αžΈαžšαž–αŸαž‘αŸ’αž™αžŠαŸ„αž™ αž‡αŸ†αž„αžΊαž‚αŸ’αžšαž»αž“αž–αŸ„αŸ‡αžœαŸ€αž“ αžšαž™αŸˆαž–αŸ’αž™αžΆαž”αžΆαž›αž‚αž·αžαž‡αžΆαžαŸ’αž„αŸƒαž˜αžΆαž“αžšαž™αŸˆαž–αŸαž›αžŠαžΌαž…αžαž‘αŸ…: ្, ៣, ្, αŸ₯, αŸ£αŸ” αžαž˜αŸ’αž›αŸƒ Variance αž‚αžΊ:

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αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Neonatal mortality Rate, Taux de mortalitΓ© NΓ©onatale) αž‚αžΊαž‡αžΆαž€αžΆαžšαž‚αžŽαž“αžΆαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž– αžŸαŸ†αžŠαŸ…αž‘αŸ…αž›αžΎαž‘αžΆαžšαž€αžŠαŸ‚αž›αž˜αžΆαž“αž’αžΆαž™αž»:

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Post- Neonatal mortality rate is used to measure the:

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αž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αžαž™αž…αž»αŸ‡αž€αžšαžŽαžΈ:

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The mean population in Rattanakiri province is 30000 populations (P) in year 2005.All cases of mortality is 200 cases. # Live births under 1 year = 1500 live births. Infant death under 1 year has 90 cases. # Live births of infant < 28 days of age = 200 Live births. Neonatal mortality = 45 cases and Maternal mortality = 50 deaths. Crude death rate is:

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The numerator of calculation Crude death rate (CDR) is:

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Infant mortality rate is used to measure the:

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αžαžΎαž’αžαŸ’αžšαžΆαž’αŸ’αžœαžΈ αžŠαŸ‚αž›αž‚αŸαž‚αžŽαž“αžΆ αž…αŸ†αž“αž½αž“αž“αŸƒαž€αžΆαžšαž€αžΎαžαž€αŸ’αž“αž»αž„ ៑ αž†αŸ’αž“αžΆαŸ† αžŸαŸ†αžšαžΆαž”αŸ‹αž”αŸ’αžšαž‡αžΆαž‡αž“ ៑០០ αž“αžΆαž€αŸ‹?

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The numerator of calculation maternal mortality rate (MMR) is:

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αž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžαŸαžŸαŸ’αžŠαžšαŸ„αž‚αžœαž·αž“αž·αž…αŸ’αž†αŸαž™ (Diagnosic test) αžŠαŸ„αž™αž‡αŸ’αžšαžΎαžŸαžšαžΎαžŸαžαŸ‚ β€œclassic” cases of the disease αž”αžŽαŸ’αžŠαžΆαž›αž’αŸ„αž™αž€αžΆαžšαž”αŸ‰αžΆαž“αŸ‹αž”αŸ’αžšαž˜αžΆαžŽαž“αŸƒ:

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What is the correct statement of diagnostic test:

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If an event is impossible it has a probability of:

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If an event has a probability of 0.1 it is:

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A positive predictive value depend on:

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αžŸαŸ’αžαž·αžαž·αžœαž·αž‘αŸ’αž™αžΆ (statistics) αž˜αžΆαž“αž…αŸ‚αž€αž…αŸαž‰αž‡αžΆ

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Which of the following statements is true about the standard error of a proportion?

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If a specificity of a screening test was 89%, it means that:

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When the new drug was clinically tested, 117 patients reported headaches and 617 did not. Based on this sample what is the probability that a new drug user will experience a headache:

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What is the statement of negative predictive value of a diagnostic test:

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On the statements below which are validstatements of probability:

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The standard error of the mean of a sample is:

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A screening test result for cervical cancer show that PPV= 67%. It means that:

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The factors that determine the width of a confidence interval are except one:

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Which below statement is not correct:

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The director of the blood bank wants to know whether blood donors who test positive should be informed of their positive HIV status on the basis of this test. What do you need to calculate in order to help you advise the director?

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What is the correct statement of sensitivity of a screening test:

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Which of these is most likely to happen?

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If we want higher chance of error we could calculate (chose the correct answer):

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Positive Predictive Value primarily depends on (chose the incorrect answer):

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In statistics, a population consists of

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A positive predictive value depend on:

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αžŸαŸ’αžαž·αžαž·αžœαž·αž‘αŸ’αž™αžΆ(statistics) αž˜αžΆαž“αž…αŸ‚αž€αž…αŸαž‰αž‡αžΆ

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αžŸαžΌαž˜αžšαžΎαžŸαž™αž€αžƒαŸ’αž›αžΆαž˜αž½αž™αžŠαŸ‚αž›αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœαž‡αžΆαž„αž‚αŸαž–αžΈαžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜ αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰αž–αžΈαž‚αŸ„αž›αž€αžΆαžšαžŽαŸαž“αŸƒαž€αžΆαžšαž’αŸ’αžœαžΎ hypothesis testing

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈαŸ’A αž…αŸ†αž“αž½αž“αŸ‘αŸ₯αž“αžΆαž€αŸ‹ αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž›β€‹αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“ standard deviation αŸ¦αŸ αž“αžΆαž‘αžΈ αž αžΎαž™αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Cαž…αŸ†αž“αž½αž“ ៑៑ αž“αžΆαž€αŸ‹αž”αžΆαž“αžšαž€αžƒαžΎαž‰αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžšαž™αŸˆαž–αŸαž› αŸ‘αŸ αŸ αž“αžΆαž‘αžΈαž€αŸ’αž“αž»αž„αŸ‘αžαŸ’αž„αŸƒαž αžΎαž™αž˜αžΆαž“ standard deviation 20 αž“αžΆαž‘αžΈαŸ”αž‚αŸαž…αž„αŸ‹αž”αŸ’αžšαŸ€αž”αž’αŸ€αž”αžαžΆαžαžΎαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្A αž“αž·αž„ 2 B αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαžŸαŸ’αž˜αžΎαžšαž‚αŸ’αž“αžΆαžŠαŸ‚αžšαž¬αž‘αŸ αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαžŸαžšαžŸαŸαžš statistical hypothesis αž™αŸ‰αžΆαž„αžŠαžΌαž…αž˜αŸ’αžαŸαž…?

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αž‚αŸ„αž›αž€αžΆαžšαžŽαŸαžŸαŸ†αžšαžΆαž”αŸ‹αž’αŸ’αžœαžΎαž€αžΆαžšαžŸαŸ†αžšαŸαž…αž…αž·αžαŸ’αžαž“αŸ…αž€αŸ’αž“αž»αž„αž€αžΆαžšαž’αŸ’αžœαžΎhypothesis testing αž‚αžΊαžαŸ’αžšαžΌαžœαž–αžΉαž„αž•αŸ’αž“αŸ‚αž€αž›αžΎ

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αžšαžΆαž›αŸ‹αž˜αžΆαž“αž’αŸ’αž“αž€αžŸαŸ’αžšαžΆαžœαž‡αŸ’αžšαžΆαžœαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹ hypothesis testing αž˜αžΆαž“αž€αŸ†αž αž»αžŸ(error) αž–αžΈαžšαžŠαŸ‚αž›αž’αžΆαž…αž€αžΎαžαž‘αžΎαž„αŸ” αžαžΎαžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡ αžƒαŸ’αž›αžΆαž˜αž½αž™αžŽαžΆαžŠαŸ‚αž›αžαŸ’αžšαžΉαž˜αž‘αŸ…αž“αžΉαž„αž“αž·αž™αž˜αž“αŸαž™αžšαž”αžŸαŸ‹αž”αŸ’αžšαž—αŸαž‘αžšαž”αžŸαŸ‹ error?

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