ArticleStatistical theory and related fields2018
Nutritional Epidemiology Methods and Related Statistical Challenges and Opportunities.
Article in Statistical theory and related fields, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Trial
- Associations of Biomarker-Calibrated Healthy Eating Index-2010 Scores with Chronic Disease Risk and Their Dependency on Energy Intake and Body Mass Index in Postmenopausal Women.The Journal of nutrition · 2023Trial
- Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes.Frontiers in endocrinology · 2025Review
- Enhancing Capacity for Food and Nutrient Intake Assessment in Population Sciences Research.Annual review of public health · 2023Review
- Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation.Statistics in biosciences · 2023Article
- Food groups associated with immune-mediated inflammatory diseases: a Mendelian randomization and disease severity study.European journal of clinical nutrition · 2021Article
- Sodium and Health Outcomes: Ascertaining Valid Estimates in Research Studies.Current atherosclerosis reports · 2021Review
- Red and processed meat: more with less?The American journal of clinical nutrition · 2020Article
- The Evaluation and Use of a Food Frequency Questionnaire Among the Population in Trivandrum, South Kerala, India.Nutrients · 2020Article
- Traditional Self-Reported Dietary Instruments Are Prone to Inaccuracies and New Approaches Are Needed.Frontiers in nutrition · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The public health importance of nutritional epidemiology research is discussed, along with methodologic challenges to obtaining reliable information on dietary approaches to chronic disease prevention. Measurement issues in assessing dietary intake need to be addressed to obtain reliable disease association information. Selfreported dietary data typically incorporate major random and systematic biases. In-take biomarkers offer potential for more reliable analyses, but biomarkers have been established only for a few dietary variables, and these may be too expensive to apply to all participants in large epidemiologic cohorts. A possible way forward involves additional nutritional biomarker development using high-dimensional metabolomic profiling, using blood and urine specimens, in conjunction with further development of statistical approaches for accommodating measurement error with failure time response data. Statisticians have the opportunity to contribute greatly to worldwide public health through the development of statistical methods to address these nutritional epidemiology research challenges, as is elaborated in this contribution.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.