Recent work on dynamic interventions has greatly expanded the range of causal questions that researchers can study. Simultaneously, this work has weakened identifying assumptions, yielding effects ...

The department of Epidemiology and Biostatistics at Dornsife presents Nandita Mitra, PhD, professor of Biostatistics in the department of Biostatistics at University of Pennsylvania. Bias due to ...

Results of Phase III Randomized Trial for Use of Docetaxel as a Radiosensitizer in Patients With Head and Neck Cancer, Unsuitable for Cisplatin-Based Chemoradiation Sixty-five empirical papers were ...

An instrument or instrumental variable is often used in an effort to avoid selection bias in inference about the effects of treatments when treatment choice is based on thoughtful deliberation.

Comparative effectiveness research (CER) seeks to assist consumers, clinicians, purchasers, and policy makers to make informed decisions to improve health care at both the individual and population ...

• Accounting for bias is a major challenge confronting the use of observational data to gain important insights into real-world treatment effects. • No single study design will satisfy all information ...