" /> dose-response and dose-effect relationships - CISMeF





Preferred Label : dose-response and dose-effect relationships;

IUPAC definition : The graph of the relation between dose and the proportion of individuals responding with an all-or-none effect; it is essentially the graph of the probability of an occurrence (or the proportion of a population exhibiting an effect) against dose. Typical examples of such all-or-none effects are mortality or the incidence of cancer. The dose-effect curve is the graph of the relation between dose and the magnitude of the biological change produced measured in appropriate units. It applies to measurable changes giving a graded response to increasing doses of a drug or xenobiotic. It represents the effect on an individual animal or person, when biological variation is taken into account. An example is the increased effect of lead on the haem synthesis, i e.g. /i , on activity of the enzyme 6-amino laevulinic acid dehydratase in blood serum or coproporphyrin levels in urine.;

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The graph of the relation between dose and the proportion of individuals responding with an all-or-none effect; it is essentially the graph of the probability of an occurrence (or the proportion of a population exhibiting an effect) against dose. Typical examples of such all-or-none effects are mortality or the incidence of cancer. The dose-effect curve is the graph of the relation between dose and the magnitude of the biological change produced measured in appropriate units. It applies to measurable changes giving a graded response to increasing doses of a drug or xenobiotic. It represents the effect on an individual animal or person, when biological variation is taken into account. An example is the increased effect of lead on the haem synthesis, i e.g. /i , on activity of the enzyme 6-amino laevulinic acid dehydratase in blood serum or coproporphyrin levels in urine.

Nous contacter.
02/06/2024


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© Rouen University Hospital. Any partial or total use of this material must mention the source.

" /> dose-response and dose-effect relationships - CISMeF





Preferred Label : dose-response and dose-effect relationships;

IUPAC definition : The graph of the relation between dose and the proportion of individuals responding with an all-or-none effect; it is essentially the graph of the probability of an occurrence (or the proportion of a population exhibiting an effect) against dose. Typical examples of such all-or-none effects are mortality or the incidence of cancer. The dose-effect curve is the graph of the relation between dose and the magnitude of the biological change produced measured in appropriate units. It applies to measurable changes giving a graded response to increasing doses of a drug or xenobiotic. It represents the effect on an individual animal or person, when biological variation is taken into account. An example is the increased effect of lead on the haem synthesis, i e.g. /i , on activity of the enzyme 6-amino laevulinic acid dehydratase in blood serum or coproporphyrin levels in urine.;

Details


You can consult :

The graph of the relation between dose and the proportion of individuals responding with an all-or-none effect; it is essentially the graph of the probability of an occurrence (or the proportion of a population exhibiting an effect) against dose. Typical examples of such all-or-none effects are mortality or the incidence of cancer. The dose-effect curve is the graph of the relation between dose and the magnitude of the biological change produced measured in appropriate units. It applies to measurable changes giving a graded response to increasing doses of a drug or xenobiotic. It represents the effect on an individual animal or person, when biological variation is taken into account. An example is the increased effect of lead on the haem synthesis, i e.g. /i , on activity of the enzyme 6-amino laevulinic acid dehydratase in blood serum or coproporphyrin levels in urine.

Nous contacter.
02/06/2024


[Home] [Top]

© Rouen University Hospital. Any partial or total use of this material must mention the source.