Search results
May 3, 2022 · We provide a framework for conceptualising exposure–susceptibility interactions, where they obscure, confound, induce or counteract one another, providing some well-known examples for each complicating mechanism.
- Amy R. Sweeny, Gregory F. Albery
- 03 May 2022
- 3
- 36, Issue7
- Statistical Methods For Handling Missing Data
- Criteria For Considering Studies in This Review
- Search Strategy
- Methods of The Review
Complete-case analysis only includes in the analysis participants with complete data on all waves of data collection, thereby potentially reducing the precision of the estimates of the exposure-outcome associations . The advantage of using complete-case analysis is that it is easily implemented, with most software packages using this method as the ...
For this review we selected prospective cohort studies that analysed exposure data collected after initial recruitment during the follow-up period (i.e. studies looking at a change in exposure or at a time varying covariate). We restricted our review to cohort studies with more than 1,000 participants, as we thought it was more likely for there to ...
PubMed was searched for English language papers published between January 2000 and December 2009. We chose January 2000 as a starting date because the first widely available statistical software package for implementing MI, the NORM package , was developed in 1997 and updated in 1999. Search terms included: “Cohort Studies”[MeSh] AND (“attrition” O...
AK reviewed all articles; any uncertainties regarding the statistical method used to handle the missing data were resolved by discussion with JAS, and AK extracted the data. Additional tables and methods sections from journal websites were checked if referred to in the article. Our aim was to assess the reporting of missing data and the methods use...
- Amalia Karahalios, Amalia Karahalios, Laura Baglietto, Laura Baglietto, John B Carlin, Dallas R Engl...
- 2012
Jan 8, 2024 · In this contribution, we illustrate a linkage framework to reconstruct environmental exposures for individual-level epidemiological analyses, discussing methodological and practical issues such...
Feb 21, 2020 · The scenario in Table 1, classification D, provides a hypothetical example of study data that yield an overestimate despite nondifferential misclassification of exposure in probability. But, a single example does not provide information regarding how commonly such results may occur or why.
- Brian W Whitcomb, Ashley I Naimi
- 2020
Biological fluids (i.e., blood, serum, plasma) and excreta (i.e., saliva, feces, urine) collected with minimally invasive methods are ideal for sampling in clinical and epidemiological investigations aimed at understanding how the environment perturbs molecular, microbial, and biochemical pathways.
- Kristine K. Dennis, Scott S. Auerbach, David M. Balshaw, Yuxia Cui, Margaret Daniele Fallin, Martyn ...
- 2016
Sep 1, 2018 · This calls into question the very nature of ‘exposure’ as a variable in studies of disease etiology. Certainly environmental exposures can be related to levels of pollutants in air, water, and ...
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For interventions that target health and well-being, the physiological or psychological basis for the mechanism of action, whether known or hypothesized, should guide the development of the exposure definition.
