Studies with Low Response Proportions May Be Less Biased than Studies with High Response Proportions

Studies with low response proportions may be less biased than studies with high response proportions.

The association between the response proportion in epidemiologic studies and nonresponse bias is complicated, because exposure prevalences and misclassification errors may vary by recruitment wave. In this paper, the authors illustrate the effect of varying degrees of wave-specific nondifferential exposure measurement error in a dichotomous exposure on the relative risk in a hypothetical cohort...

Stimulus-response Analysis for Data in the Form of Proportions

Limb proportions show developmental plasticity in response to embryo movement

Animals have evolved limb proportions adapted to different environments, but it is not yet clear to what extent these proportions are directly influenced by the environment during prenatal development. The developing skeleton experiences mechanical loading resulting from embryo movement. We tested the hypothesis that environmentally-induced changes in prenatal movement influence embryonic limb ...

Immunotherapy in patients with less than complete response to chemotherapy.

BACKGROUND Patients with metastatic solid tumors (MST) with less than a complete response to chemotherapy (L-CR), a depressed immune system and elevated serum vascular endothelial growth factor (VEGF) lack defined treatment options. The primary endpoint evaluated in this study was whether interleukin-2 (IL-2) and 13-cisretinoic acid (RA) treatment reduced VEGF and improved immune function in su...

Bayesian Sample size Determination for Longitudinal Studies with Continuous Response using Marginal Models

Introduction Longitudinal study designs are common in a lot of scientific researches, especially in medical, social and economic sciences. The reason is that longitudinal studies allow researchers to measure changes of each individual over time and often have higher statistical power than cross-sectional studies. Choosing an appropriate sample size is a crucial step in a successful study. A st...