overcome for researchers who are exploring the truth in medicine. Fortunately, a random clinical trial (RCT) study design is available, which enables bias minimization and reduction of confounding problems. However, advantages of RCT are rarely given to medical informaticians because RCT can be applied to prospective studies with prior hypotheses and structured study designs before experimentat...

The concern that postmenopausal hormone replacement therapy (HRT) may cause cancer of the breast has lead to an enormous volume of research in epidemiology, endocrinology and tumour cell biology. The epidemiology has become extremely sophisticated because the anticipated effect is small and there are several confounding factors. The consensus today is that long-term HRT (>10 years) is associate...

Non-identifiability of parameters is a well-recognized problem in classical statistics, and Bayesian statisticians have long recognized the importance of exchangeability assumptions in making statistical inferences. A seemingly unrelated problem in epidemiology is that of confounding: bias in estimation of the effects of an exposure on disease risk, due to inherent differences in risk between e...

conclusions with growing cohort of young and middle-aged people, there is a probable risk of upsurge of ard. presently, there are dilemmas over the diagnosis of independent ard. thus, there is a need to develop evidence-based guidelines for diagnosis and management of ard through further systematic studies. results the prolonged and excessive use of alcohol may lead to structural and functional...

In the evaluation of pharmacologic therapies, the controlled clinical trial is the preferred design. When clinical trial results are not available, the alternative designs are observational epidemiologic studies. A traditional concern about the validity of findings from epidemiologic studies is the possibility of bias from uncontrolled confounding. In studies of pharmacologic therapies, confoun...

Spatial models are used in a variety of research areas, such as environmental sciences, epidemiology, or physics. A common phenomenon spatial regression is confounding. This observed when spatially indexed covariates modeling the mean response correlated with random effect included model, for example, proxy unobserved confounders. As result, estimates coefficients can be severely biased and int...

Uncontrolled confounding in observational studies gives rise to biased effect estimates. Sensitivity analysis techniques can be useful in assessing the magnitude of these biases. In this paper, we use the potential outcomes framework to derive a general class of sensitivity-analysis formulas for outcomes, treatments, and measured and unmeasured confounding variables that may be categorical or c...

Social epidemiology is defined as the study of the distribution of health outcomes and their social determinants (1). It builds on the classic epidemiologic triangle of host, agent, and environment to focus explicitly on the role of social determinants in infectious disease transmission and progression. These determinants are the “features of and pathways by which societal conditions affect hea...