Exact(1)
We performed a descriptive analysis of the sample, stratified by gender, and we calculated odds ratios (OR) with 95% confidence intervals (95% CI) and p values to assess the role of socio-demographic factors (i.e., age, gender, education) and health history variables (i.e., chronic disease in the last year) on health-correlated use of the Internet and its effects on population choices.
Similar(59)
Qualitative extrapolation and quantitative modeling of data regarding study duration, patient population, choice of comparator, and type of outcomes.
Modeling is expected to be performed wherever possible and appropriate, e.g. for study duration, patient population, choice of comparator, and type of outcomes.
In England, however, both qualitative and quantitative extrapolation is performed to adjust data if the study duration, patient population, choice of comparator, or type of outcomes is not directly relevant for the appraisal decision.
Results: Ten observational studies met the inclusion criteria; these studies varied widely with regard to population, choice of control group, ascertainment of exposure and outcome, and adjustment for potential confounders.
Modeling is not acceptable for benefit assessment in Germany but is expected to be performed for HTA in England wherever possible and appropriate, e.g. for study design features such as study duration, patient population, choice of comparator, and type of outcomes.
In particular, we discuss consideration of structure function relationships, selection of tests appropriate to the population, choice of materials and issues of intellectual property, consideration of variables which can confound studies of cognition in HD, practice effects, and specific issues for multi-site research.
Population choice is an important consideration in designing a genetic association study focusing on isolates.
Nonetheless, this study population choice limits the generalizability of these results to young students and recent graduates from medical school.
In addition, two other reviews highlighted challenges such as sample selection and population choice when planning epigenome-wide association studies (EWAS) [ 21, 22].
Following the risk assessment procedure proposed by the Covello and Merkhofer (1993) and the NRC (1983), we estimated the number of lung cancer deaths due to indoor radon exposure in France in a four-stage process: identification of the population, choice of the exposure response relations, radon exposure assessment, and characterization of lung cancer risk.
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