Statistical Issues in Genomic Cohort Studies

Statistical Issues in Modeling Chronic Disease in Cohort Studies

Observational cohort studies of individuals with chronic disease provide information on rates of disease progression, the effect of fixed and time-varying risk factors, and the extent of heterogeneity in the course of disease. Analysis of this information is often facilitated by the use of multistate models with intensity functions governing transition between disease states. We discuss modelin...

Statistical Issues in Farmworker Studies

Should hormesis, as Thayer et al. (2006) implied in the title of their letter in the November 2006 issue of Environmental Health Perspectives, be dismissed by scientists, regulators, and others as simply a new faithbased religion? No. Hormesis is a data-based biological reality, one that challenges the lowdose assumptions that currently drive risk assessment processes used by regulatory and pub...

Statistical Issues in TBI Clinical Studies

The identification and longitudinal assessment of traumatic brain injury presents several challenges. Because these injuries can have subtle effects, efforts to find quantitative physiological measures that can be used to characterize traumatic brain injury are receiving increased attention. The results of this research must be considered with care. Six reasons for cautious assessment are outli...

Interval and clinical cohort studies: epidemiological issues.

Cohort studies based upon clinic populations and medical records are becoming more abundant due in part to an increasing trend toward electronic medical records and advancement in information technology. This design has been utilized in the HIV setting to great success and involves following individuals as they access medical care. These clinical cohort designs have not been compared to the cla...

STATISTICAL ISSUES IN META-ANALYSIS FOR IDENTIFYING SIGNATURE GENES IN THE INTEGRATION OF MULTIPLE GENOMIC STUDIES by