SantΓ© Publique Test

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SantΓ© Publique Test

 

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

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

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αž“αŸ…αž€αž˜αŸ’αž–αž»αž‡αžΆαž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž˜αžΆαžαžΆ Taux de mortalitΓ© Maternelle, Maternal Mortality Rate αž˜αžΆαž“ ៀ០ αž—αžΆαž‚β€‹αŸ‘αŸ αŸ αŸ  αž€αžΎαžαžšαžŸαŸ‹αž€αŸ’αž“αž»αž„αž†αŸ’αž“αžΆαŸ† αŸ’αŸ αŸ αŸ αŸ” αž˜αžΆαž“αž“αŸαž™αžαžΆαž€αŸ’αž“αž»αž„αž€αŸ†αž‘αž»αž„αž†αŸ’αž“αžΆαŸ† ្០០០

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αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž‘αžΆαžšαž€ (Post Perinatal mortality Rate, Taux de mortalitΓ© Post PΓ©rinatale) 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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αž€αŸ’αž“αž»αž„αž…αŸ†αžŽαŸ„αž˜αž‘αžΆαžšαž€ ៑០០០ αž€αžΎαžαžšαž„αžŸαŸ‹ αž˜αžΆαž“αž‘αžΆαžšαž€αžŸαŸ’αž›αžΆαž”αŸ‹ ៦០ αž“αžΆαž€αŸ‹ αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ្៨ αžαŸ’αž„αŸƒ αžŸαž»αž…αŸ’αž…αž“αžΆαž€αžšαž“αŸαŸ‡αž”αž‰αŸ’αž‡αžΆαž€αŸ‹ αž€αžΆαžšαž‚αžŽαž“αžΆαŸ–

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The numerator of calculation neonatal mortality rate is:

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

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

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Prevalence of disease refers to the number that develop in a population at risk for the disease over a specified period time of:

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Variation in clinical measurement including:

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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“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€αŸ’αžšαŸ„αž˜ αŸ’αŸ¨αžαŸ’αž„αŸƒ αžŸαŸ’αž›αžΆαž”αŸ‹ ៑០ αž“αžΆαž€αŸ‹αŸ” Taux de mortalitΓ© PΓ©rinatal, Perinatal Mortality Rate αž˜αžΆαž“:

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αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αž‡αžΆαž›αž€αŸ’αžαžŽαŸˆαžšαž”αžŸαŸ‹αžαŸ†αž›αŸƒαž€αžŽαŸ’αžŠαžΆαž› (Median) αž›αžΎαž€αž›αŸ‚αž„αžαŸ‚:

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αž€αžΆαžšαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžαŸαžŸαŸ’αžŠαžšαŸ„αž‚αžœαž·αž“αž·αž…αŸ’αž†αŸαž™ (Diagnostic test) αžŠαŸ‚αž›αž˜αžΆαž“αž€αžΆαžšαžαž»αžŸαž…αŸ’αžšαžΎαž“ αž’αŸ’αžœαžΎαž’αŸ„αž™αž’αžαŸ’αžšαžΆαžαŸαžŸαŸ’αžŠαžœαž·αž‡αŸ’αž‡αž˜αžΆαž“ αž€αžΎαž“αž‘αžΎαž„αžαŸ’αž–αžŸαŸ‹ high false positive rate (poor specificity) αž”αžŽαŸ’αžŠαžΆαž›αž’αŸ„αž™ αž€αžΆαžšαž”αŸ‰αžΆαž“αŸ‹αž”αŸ’αžšαž˜αžΆαžŽαž“αŸƒ:

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The normal distribution has extremely:

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A high prevalence may be due to:

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αž‚αŸαž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹ (Prevalent) αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰:

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αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœ αž›αžΎαž€αž›αŸ‚αž„αžαŸ‚αŸ–

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In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Overall attack rate 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“ ៀ% αž€αž»αž˜αžΆαžšαžŸαŸ’αž›αžΆαž”αŸ‹αž’αžΆαž™αž»αž€αŸ’αžšαŸ„αž˜ ៑ αž†αŸ’αž“αžΆαŸ† αž˜αžΆαž“ ្ៀ០ αž“αžΆαž€αŸ‹αŸ” αž’αžαŸ’αžšαžΆαž˜αžšαžŽαŸˆαž—αžΆαž–αž“αŸƒαž€αž»αž˜αžΆαžš (Taux de mortalitΓ© Infantile, Infant Mortality Rate) αž˜αžΆαž“:

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αžŸαž˜αžΆαž˜αžΆαžαŸ’αžšαžŸαŸ’αž›αžΆαž”αŸ‹αž“αŸƒαž’αŸ’αž“αž€αž‡αŸ†αž„αžΊ (Case fatality Rate CFR) αžŸαŸ’αž˜αžΎαž“αžΉαž„:

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In an epidemic ( or outbreak ) of food poisoning, there were 10 cases of male and 40 cases of female among 120 female and 80 male exposed. Female attack rate is:

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This formula for calculated:

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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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αžƒαŸ’αž›αžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜αž“αŸαŸ‡αžŸαž»αž‘αŸ’αž’αžαŸ‚αžαŸ’αžšαžΉαž˜αžαŸ’αžšαžΌαžœαž›αžΎαž€αž›αŸ‚αž„αžαŸ‚αžƒαŸ’αž›αžΆαž˜αž½αž™αžŠαŸ‚αž›αžαž»αžŸ αž€αžΆαžšαž‚αžŽαž“αžΆαž…αŸ†αž“αž½αž“αž€αžšαžŽαžΈαž“αŸƒαž‡αž˜αŸ’αž„αžΊαž’αžΆαŸ†αž„αžŸαŸŠαžΈαžŠαž„αŸ‹αž“αž·αž„αž”αŸ’αžšαŸαžœαŸ‰αžΆαž‘αž„αŸ‹αž•αŸ’αžŠαž›αŸ‹ αž’αŸ„αž™αž…αŸ†αž“αž½αž“αž’αŸ’αž“αž€αž‡/αž„αžŠαŸ‚αž›αž‚αž½αžšαž’αŸ„αž™αž‘αž»αž€αž…αž·αžαŸ’αžαž”αžΆαž“ (The calculation of both prevalence and incidence requires a reliable estimate of the numberof individuals with the disease). αž˜αž’αŸ’αž™αŸ„αž”αžΆαž™αž”αŸ’αžšαžΎαž”αŸ’αžšαžΆαžŸαŸ‹αžŸαŸ†αžšαžΆαž”αŸ‹αž€αŸ†αžŽαžαŸ‹αž…αŸ†αž“αž½αž“αž€αžšαžŽαžΈαž’αŸ’αž“αž€αž‡/αž„αžšαž½αž˜αž˜αžΆαž“:

 

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αžŠαžΎαž˜αŸ’αž”αžΈαž”αž„αŸ’αž αžΆαž‰αž’αŸ„αž™αž’αŸ’αž“αž€αž˜αžΎαž›αž”αžΆαž“αž™αž›αŸ‹αž›αž€αŸ’αžαžŽαŸˆαžŠαŸ†αž”αžΌαž„αž”αž„αŸ’αž’αžŸαŸ‹αžšαž”αžŸαŸ‹αž‘αž·αž“αŸ’αž“αž“αŸαž™αž‚αžΊ:

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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’αžŸαžΆαž“αŸ…αž•αŸ’αž‘αŸ‡αžšαž™αŸˆαž–αŸαž›αž˜αž’αŸ’αž™αž˜ αŸ‘αŸ’αŸ αž“αžΆαž‘αžΈβ€‹ αž€αŸ’αž“αž»αž„αŸ‘β€‹ αžαŸ’αž„αŸƒ αž αžΎαž™αž˜αžΆαž“ standard deviation αŸ¦αŸ αž“αžΆαž‘αžΈαŸ”

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αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹Descriptive statistics?

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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’B 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’αžŸαžΆαž“αŸ…αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αž‡αžΆαž˜αž’αŸ’αž™αž˜ 50 αž“αžΆαž‘αžΈ αž€αŸ’αž“αž»αž„αŸ‘ αžαŸ’αž„αŸƒαŸ” αž‚αŸαž…αž„αŸ‹αž’αŸ’αžœαžΎ hypothesis testing αžŠαŸ„αž™αžŸαžšαžŸαŸαžαžΆ H0: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™αžŸαŸ’αž˜αžΎ αŸ¦αŸ αž“αžΆαž‘αžΈ αž“αž·αž„ Ha: αžšαž™αŸ‡αž–αŸαž›αžŸαž·αž€αŸ’αžŸαžΆαž€αŸ’αž“αž»αž„αž”αžŽαŸ’αžŽαžΆαž›αŸαž™ β‰  αŸ¦αŸ αž“αžΆαž‘αžΈαŸ” αž€αžΆαžšαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž”αŸ‚αž”αž“αŸαŸ‡αž‡αžΆαž”αŸ’αžšαž—αŸαž‘

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αžαžΎαž’αŸ’αžœαžΈαžαŸ’αž›αŸ‡αž‡αžΆαž•αŸ’αž“αŸ‚αž€αžšαž”αžŸαŸ‹Descriptive statistics?

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αž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Aαž…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›β€‹ 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’αžœαžΎ hypothesis testing αžαžΆαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្ αž”αžΆαž“αž…αŸ†αžŽαžΆαž™αž–αŸαž›αžšαŸ€αž“αžšαž™αŸˆαž–αŸαž›αžαž·αž…αž‡αžΆαž„ αŸ’αž˜αŸ‰αŸ„αž„ αŸ” αžαžΎαž‚αŸαžαŸ’αžšαžΌαžœαžŸαžšαžŸαŸαžš hypothesis αž™αŸ‰αžΆαž„αžŠαžΌαž…αž˜αŸ’αžαŸαž…?

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αžšαžŸαž·αž€αŸ’αžŸαžΆαž‘αŸ…αž›αžΎαžŸαŸ†αžŽαžΆαž€αž“αŸƒαž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្Aαž…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›β€‹ 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’αžœαžΎ hypothesis testing αžŠαžΎαž˜αŸ’αž”αžΈαž†αŸ’αž›αžΎαž™αž‘αŸ…αž“αžΉαž„αžŸαŸ†αžŽαž½αžšαžαžΆαžαžΎ αž“αž·αžŸαŸ’αžŸαž·αžαž†αŸ’αž“αžΆαŸ†αž‘αžΈ ្C αž”αžΆαž“αžšαŸ€αž“αžšαž™αŸ‡αž–αŸαž› 2αž˜αŸ‰αŸ„αž„αžŠαŸ‚αžšαž¬αž‘αŸαŸ” αžαžΎαž‚αŸαž’αŸ’αžœαžΎαžαŸαžŸαŸ’αžαž˜αž½αž™αžŽαžΆαžαžΆαž„αž€αŸ’αžšαŸ„αž˜?

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What is the correct answer about a point estimate statement:

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Which answer below is not correct about the confidence interval:

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The width of a confidence interval is influenced by:

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Which answer below is correct about the confidence interval:

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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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A screening test result for cervical cancer show that NPV= 99%. It means that:

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

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

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The Positive Predictive Value of a test increases:

42 / 60

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43 / 60

Which below statement is not correct:

44 / 60

All statements below are correct to describe the negative predictive value of a screening test except one:

45 / 60

The branch of biostatistics that deals with testing of hypothesis, making predictions using data collected is called:

46 / 60

What is the correct answer about a confidence interval statement:

47 / 60

On the statements below what is valid statements of probability:

48 / 60

Population census is conducted through

49 / 60

What is the statement of sensitivity of a diagnostic test:

50 / 60

Which below statement is not correct:

51 / 60

Which of the statements is true if a particular event has a probability of 10%?

52 / 60

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

53 / 60

What is the correct answer about a point estimatestatement:

54 / 60

If an event has a probability of 0.1 it is:

55 / 60

The Positive Predictive Value depends on:

56 / 60

A confidence interval estimate is (chose the correct answer):

57 / 60

What is the wrong interpretation of 95% confidence interval:

58 / 60

A population parameter is likely to occur (chose the correct answer):

59 / 60

If a sensitivity of a screening test was 80%, it means that:

60 / 60

The meaning of reliability of a test is:

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