Estimating the relative risk in cohort studies and clinical trials of common outcomes.

By L. McNutt, Chuntao Wu, X. Xue, J. Hafner. American Journal of Epidemiology, 2003

2,116 citations recorded by the source corpus.

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In Statistics and Probability

Citations in the corpus

Introduction, comparison, and validation of Meta‐Essentials: A free and simple tool for meta‐analysis (2017, background): “This procedure has not been extensively validated and should therefore be used cautiously, especially when baseline risk in individual studies is high, and when odds ratios are large.(33) It has been included in Meta‐Essentials (the exact formulas are described by van Rhee and Suurmond(34)) but not ”
Rapid scale-up of antiretroviral therapy at primary care sites in Zambia: feasibility and early outcomes. (2006, neutral): “Age, median (range), y 15 056 35 (16-89) 792 35 (16-83) .”
Relationship between Vancomycin MIC and Failure among Patients with Methicillin-Resistant Staphylococcus aureus Bacteremia Treated with Vancomycin (2008, methodology): “Due to the large proportion of treatment failures, Poisson regression was used to determine the independent association of the high vancomycin MIC group with failure while adjusting for potential confounding variables (14, 21).”
Association of alcohol consumption with selected cardiovascular disease outcomes: a systematic review and meta-analysis (2011, background): “Because these transformations can underestimate the variance of the relative risks derived from the odds ratios,”
On Modeling and Estimation for the Relative Risk and Risk Difference (2015, background): “For example, standard statistical software may report failed convergence when attempting to fit logbinomial models in certain settings (Lumley et al., 2006; McNutt et al., 2003; Williamson et al., 2013).”
Methods for Estimating Adjusted Risk Ratios (2009, methodology): “This approach has been described in several articles (Robbins, Chao, and Fonseca 2002; McNutt et al. 2003; Barros and Hirakata 2003); it has been called log-binomial (Blizzard and Hosmer 2006) or binomial log-linear regression (Greenland 2004a).”