Essential Medical Statistics

By B. Kirkwood, J. Sterne. 2003

2,410 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2de178e7e19a6641d48caa0ed935743ed07d409e

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Citations in the corpus

Mortality from non-malignant respiratory diseases among workers in the Norwegian silicon carbide industry: associations with dust exposure (2011, methodology): “Tests of trend were done by fitting a Poisson regression model for the linear effect of the exposure variables, assuming a constant increase in the log rate ratio per exposure category level.(13) Confounding between the four specific exposure factors (respirable quartz, cristobalite and SiC, and fib”
Exposure to traffic-related air pollution and risk of development of childhood asthma: A systematic review and meta-analysis. (2017, methodology): “We conducted random-effects meta-analyses to summarize the risk estimates across the range of studies, as they account for within study variance caused by chance and sampling error, but also for between studies variance caused by heterogeneity (Kirkwood and Sterne, 2003), a feature that is likely to”
Statistical strategies for avoiding false discoveries in metabolomics and related experiments (2007, background): “…audience (Bland, 2000; Box et al., 1978; Bradford Hill and Hill, 1991; Sokal and Rohlf, 1995; Rothman and Greenland, 1998; Woodward, 2000; Kirkwood and Sterne, 2003), and we are not going to reproduce them here save in terms of the ostensibly simple question of asking whether the…”
An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China (2020, background): “As the distribution is not severely asymmetric, and our sample size is sufficiently large, this should not be an issue by the central limit theorem (21, 22) .”
A systematic review of studies examining the relationship between reported racism and health and wellbeing for children and young people. (2013, background): “The most plausible explanation for these results is some form of study bias, whether related to measurement error, selection bias, unmeasured or unaccounted for confounders, moderators or mediators, and/or analytic errors (Kirkwood & Sterne, 2003).”