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RegisterAdjusting weight to reflect group differences in Model [General Statistics]
Dear Balakotu!
As per EMA- In parallel design studies, the treatment groups should be comparable in all known variables that may affect the pharmacokinetics of the active substance (e.g. age, body weight, sex, ethnic origin, smoking status, extensive/poor metabolic status). This is an essential pre-requisite to give validity to the results from such studies.
In general, it is recommended to have balanced between treatment arms.
Regards,
Divyen
As per EMA- In parallel design studies, the treatment groups should be comparable in all known variables that may affect the pharmacokinetics of the active substance (e.g. age, body weight, sex, ethnic origin, smoking status, extensive/poor metabolic status). This is an essential pre-requisite to give validity to the results from such studies.
In general, it is recommended to have balanced between treatment arms.
Regards,
Divyen
Complete thread:
- Adjusting weight to reflect group differences in Model balakotu 2022-03-29 11:24 [General Statistics]
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Ing. Helmut Schütz