ArticleStatistics & probability letters2018
Big data: Some statistical issues.
Article in Statistics & probability letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Making the most of big qualitative datasets: a living systematic review of analysis methods.Frontiers in big data · 2024Pooled it
- Statistical Methods for Baseline Adjustment and Cohort Analysis in Korean National Health Insurance Claims Data: A Review of PSM, IPTW, and Survival Analysis With Future Directions.Journal of Korean medical science · 2025Review
- Robust Estimation of Loss-Based Measures of Model Performance under Covariate Shift.The Canadian journal of statistics = Revue canadienne de statistique · 2024Article
- Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States.Environmental advances · 2023Article
- Lung Function Decline in Cystic Fibrosis: Impact of Data Availability and Modeling Strategies on Clinical Interpretations.Annals of the American Thoracic Society · 2023Article
- Student and the Lanarkshire milk experiment.European journal of epidemiology · 2023Review
- Real World-Big Data Analytics in Healthcare.International journal of environmental research and public health · 2022Article
- Statistical Analysis in the German National Cohort (NAKO) - Specific Aspects and General Recommendations.European journal of epidemiology · 2022Article
- Machine learning and design of experiments with an application to product innovation in the chemical industry.Journal of applied statistics · 2022Article
- Big data and real-world data-based medicine in the management of hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Review
- The Traumatic Brain Injury Model Systems National Database: A Review of Published Research.Neurotrauma reports · 2021Review
- Kinship Solutions for Partially Observed Multiphenotype Data.Journal of computational biology : a journal of computational molecular cell biology · 2020Article
- Developing pathways for community-led research with big data: a content analysis of stakeholder interviews.Health research policy and systems · 2020Article
- Article
- A Structure-Based Drug Discovery Paradigm.International journal of molecular sciences · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
A broad review is given of the impact of big data on various aspects of investigation. There is some but not total emphasis on issues in epidemiological research.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.