Epidemiology: An Introduction

By Kenneth J. Rothman. 2002

2,410 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/85478a6c0c86d5041fff5e2d3cf30d286f43c0c7

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Citations in the corpus

The Association Between School Stress, Life Satisfaction and Depressive Symptoms in Adolescents: Life Satisfaction as a Potential Mediator (2016, background): “Another limitation of the study is the exclusive reliance on self-reports from adolescents of 13–18 years, which may lead to potential self-reporting bias (Rothman 2002).”
Analyzing cause and effect in environmental assessments: using weighted evidence from the literature (2011, background): “A clear finding of support for alternate hypothesis or inconsistent evidence should be regarded as falsification of the hypothesis, meaning that a new hypothesis should be sought (Rothman 2002).”
The World Health Organization Health and Work Performance Questionnaire (HPQ) (2003, background): “This is true, importantly, even if the conditional distributions of HPQ ratings among people with true high and low performance (sensitivity and specificity) are constant across samples, because any deviation in the proportions of workers in the new samples with actual high and low performance from ”
Calculating measures of biological interaction (2005, methodology): “For an in depth discussion of the distinction between biological interaction and statistical interaction we refer for example to the recent textbook by Rothman [2].”
The association between stress and emotional states in adolescents: The role of gender and self-esteem (2010, background): “The large sample size of the present study can protect against the influences of potential random error related to self-reporting (Rothman, 2002).”
Dynamic Systems and the Challenge of Sustainability (2007, background): “In the same way, epidemiological models of disease transmission, based on often highly simplified understandings of interactions between disease organisms, hosts and the wider ecology have guided many public health interventions (cf. Gerstman, 2006; Rothman, 2002).”
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007, unknown): “A distinction is sometimes made between ‘statistical interaction’ which can be a departure from either a multiplicative or additive model, and ‘biologic interaction’ which is measured by departure from an additive model [189].”
Cardiorespiratory fitness in young adulthood and the development of cardiovascular disease risk factors. (2003, methodology): “We calculated the proportion of CVD morbidity in the population attributable to low fitness (PAR) with the following formula: Pe [1 – (1/HRadj)], where Pe is the proportion of persons with the CVD risk factor (eg, hypertension) who are in the low fitness category and HRadj is the multivariable adjus”
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. (2007, unknown): “A distinction is sometimes made between ‘statistical interaction’ which can be a departure from either a multiplicative or additive model, and ‘biologic interaction’ which is measured by departure from an additive model [189].”
Epidemiology of Eating Disorders: Incidence, Prevalence and Mortality Rates (2012, background): “One could describe the mortality rate as an incidence rate in which the event being measured is death [52].”
The Academic Motivation Scale: Dimensionality, Reliability, and Construct Validity Among Vocational Students (2016, background): “Another limitation was exclusive reliance on self-reports from students aged 15.7–24.5 years – an overwhelming 92% were 16 years old – which could suggest self-report bias (Rothman, 2002).”