Pages that link to "Q6251482"
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The following pages link to John Ioannidis (Q6251482):
Displaying 50 items.
- Meta-Research Innovation Center at Stanford (Q18154346) (← links)
- The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (Q21092360) (← links)
- Why most published research findings are false (Q21092395) (← links)
- Trends in citations to books on epidemiological and statistical methods in the biomedical literature (Q21133555) (← links)
- Fifty-year fate and impact of general medical journals (Q21136156) (← links)
- Association of RGS4 variants with schizotypy and cognitive endophenotypes at the population level (Q21203802) (← links)
- Why current publication practices may distort science (Q21563409) (← links)
- Why most published research findings are false: author's reply to Goodman and Greenland (Q21563418) (← links)
- Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature (Q21563436) (← links)
- Vitamin D and multiple health outcomes: umbrella review of systematic reviews and meta-analyses of observational studies and randomised trials (Q22306552) (← links)
- Corticosteroids for preventing neonatal respiratory morbidity after elective caesarean section at term (Q24240365) (← links)
- Corticosteroids for preventing neonatal respiratory morbidity after elective caesarean section at term (Q24244514) (← links)
- Anticonvulsants for alcohol withdrawal (Q24245508) (← links)
- Benzodiazepines for alcohol withdrawal (Q24245619) (← links)
- Anticonvulsants for alcohol withdrawal (Q24246603) (← links)
- Benzodiazepines for alcohol withdrawal (Q24246669) (← links)
- Power failure: why small sample size undermines the reliability of neuroscience (Q24273217) (← links)
- Excess Significance Bias in the Literature on Brain Volume Abnormalities (Q24273222) (← links)
- An exploratory test for an excess of significant findings (Q24273224) (← links)
- Why Most Discovered True Associations Are Inflated (Q24273233) (← links)
- This I believe in genetics: discovery can be a nuisance, replication is science, implementation matters (Q24273368) (← links)
- Meta-analysis in genome-wide association studies (Q24273398) (← links)
- The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey (Q24282603) (← links)
- Comparison of evidence on harms of medical interventions in randomized and nonrandomized studies (Q24282604) (← links)
- Limitations of medical research and evidence at the patient-clinician encounter scale (Q24282606) (← links)
- p-Curve and p-Hacking in Observational Research (Q24288637) (← links)
- Quantifying selective reporting and the Proteus phenomenon for multiple datasets with similar bias (Q24288719) (← links)
- How to make more published research true (Q24288766) (← links)
- Selection in reported epidemiological risks: an empirical assessment (Q24288769) (← links)
- Large-scale evidence for the effect of the COLIA1 Sp1 polymorphism on osteoporosis outcomes: the GENOMOS study (Q24288773) (← links)
- Evolution and translation of research findings: from bench to where? (Q24288780) (← links)
- Reproducible Research Practices and Transparency across the Biomedical Literature (Q24288789) (← links)
- Replication in Genome-Wide Association Studies (Q24288830) (← links)
- Effectiveness of antidepressants: an evidence myth constructed from a thousand randomized trials? (Q24288917) (← links)
- Assessing and reporting heterogeneity in treatment effects in clinical trials: a proposal (Q24288920) (← links)
- A test for reporting bias in trial networks: simulation and case studies (Q24288963) (← links)
- Transforming Epidemiology for 21st Century Medicine and Public Health (Q24289006) (← links)
- Knowledge Integration in Cancer: Current Landscape and Future Prospects (Q24289007) (← links)
- Genetic and molecular epidemiology (Q24289031) (← links)
- Placing epidemiological results in the context of multiplicity and typical correlations of exposures (Q24289033) (← links)
- Prognostic effect size of cardiovascular biomarkers in datasets from observational studies versus randomised trials: meta-epidemiology study (Q24289043) (← links)
- Practices and impact of primary outcome adjustment in randomized controlled trials: meta-epidemiologic study (Q24289045) (← links)
- Assessment of cumulative evidence for the association between glutathione S-transferase polymorphisms and lung cancer: application of the Venice interim guidelines (Q24289170) (← links)
- Clinical outcome prediction by microRNAs in human cancer: a systematic review (Q24289183) (← links)
- Systematic evaluation of environmental and behavioural factors associated with all-cause mortality in the United States national health and nutrition examination survey (Q24289186) (← links)
- Systematic evaluation of environmental factors: persistent pollutants and nutrients correlated with serum lipid levels (Q24289191) (← links)
- Potential increased risk of cancer from commonly used medications: an umbrella review of meta-analyses (Q24289205) (← links)
- Design and Analysis for Studying microRNAs in Human Disease: A Primer on -Omic Technologies (Q24289207) (← links)
- Khoury et al. Respond to "The Epicenter of Translational Science": Crossing All the T's (Q24289212) (← links)
- Genome-wide association studies, field synopses, and the development of the knowledge base on genetic variation and human diseases (Q24289213) (← links)