Quantifying the impact of time-varying baseline risk adjustment in the self-controlled risk interval design.

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Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network.

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Quantifying the impact of time-varying baseline risk adjustment in the self-controlled risk interval design.

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Quantifying the impact of time ...... ntrolled risk interval design.

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Quantifying the impact of time ...... ntrolled risk interval design.

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Quantifying the impact of time ...... ntrolled risk interval design.

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Alison Tse Kawai

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Estelle Russek-Cohen

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Lingling Li

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Wei Hua

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P2860

A Maximized Sequential Probability Ratio Test for Drug and Vaccine Safety Surveillance

Near real-time surveillance for influenza vaccine safety: proof-of-concept in the Vaccine Safety Datalink Project.

H1N1 and seasonal influenza vaccine safety in the vaccine safety datalink project.

Tutorial in biostatistics: the self-controlled case series method.

The risk of immune thrombocytopenic purpura after vaccination in children and adolescents.

The Vaccine Safety Datalink project.

Safety of the trivalent inactivated influenza vaccine among children: a population-based study.

Trends in intussusception hospitalizations among US infants, 1993-2004: implications for monitoring the safety of the new rotavirus vaccination program

Risk of confirmed Guillain-Barre syndrome following receipt of monovalent inactivated influenza A (H1N1) and seasonal influenza vaccines in the Vaccine Safety Datalink Project, 2009-2010.

A vaccine study design selection framework for the postlicensure rapid immunization safety monitoring program.

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1304-1312

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scholarly article

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10.1002/PDS.3885

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Martin Kulldorff

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2015-10-13T00:00:00Z

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26464236

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Quantifying the impact of time-varying baseline risk adjustment in the self-controlled risk interval design.

about

P2860

P2860

Quantifying the impact of time-varying baseline risk adjustment in the self-controlled risk interval design.

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