Presenting statistical uncertainty in trends and dose-response relations

Article Abstract:

Statistical uncertainty can be seen in trends and dose-response relationships. It is common practice to express all effects relative to a baseline or reference level when estimating effects of a polytomous exposure, but some authors have challenged the practice. Alternatives, including the floating absolute risk method, are reviewed and plotting or tabulating confidence limits for points on a flexible curve fitted to the uncategorized data is suggested to deal with shortcomings all methods have when exposure is continuous.

Mathematical models, Health surveys, Epidemiology, Statistics (Mathematics), Biometric research, Dose-response relationship (Biochemistry), Dose-response relationship, Trend surface analysis, Smoothing (Statistics)

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Random-effects meta-analyses are not always conservative

Article Abstract:

The use of random effects versus fixed effects in epidemiological estimates is discussed. Summary estimates may not be appropriate in all cases, as explained in the article.

Observations, Science, Scientific method, Meta-analysis

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Controls who experienced hypothetical causal intermediates should not be excluded from case-control studies

Article Abstract:

Controls who experienced hypothetical causal intermediates are discussed with the assertion that they should not be excluded from case-control studies.

Health aspects, Statistical Data Included, Risk factors, Diseases, Colorectal cancer, Clinical trials, Study and teaching, Smoking, Logic, Experimental design, Research design, Fallacies (Logic)

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