Effect model law: an approach for the implementation of personalized medicine.

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Bridging Systems Medicine and Patient Needs Measuring the individual benefit of a medical or behavioral treatment using generalized linear mixed-effects models.

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Effect model law: an approach for the implementation of personalized medicine.

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2013 nî lūn-bûn

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Effect model law: an approach for the implementation of personalized medicine.

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Effect model law: an approach for the implementation of personalized medicine.

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Effect model law: an approach for the implementation of personalized medicine.

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Effect model law: an approach for the implementation of personalized medicine.

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Draltan Marin

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François-Henri Boissel

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Jean-Pierre Boissel

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Riad Kahoul

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P2860

Meta-analysis in clinical research

Assessing treatment-time interaction in clinical trials with time to event data: a meta-analysis of hypertension trials.

A new method for determining physician decision thresholds using empiric, uncertain recommendations.

Comparison of an effect-model-law-based method versus traditional clinical practice guidelines for optimal treatment decision-making: application to statin treatment in the French population.

The relation between treatment benefit and underlying risk in meta-analysis.

Clinical trial simulation using therapeutic effect modeling: application to ivabradine efficacy in patients with angina pectoris.

An evidence based approach to individualising treatment.

Revisiting the relationship between baseline risk and risk under treatment.

Indirect comparison: relative risk fallacies and odds solution.

New insights on the relation between untreated and treated outcomes for a given therapy effect model is not necessarily linear.

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177-190

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scholarly article

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10.3390/JPM3030177

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2013-08-15T00:00:00Z

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265737002

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25562651

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Effect model law: an approach for the implementation of personalized medicine.

about

P2860

P2860

Effect model law: an approach for the implementation of personalized medicine.

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