| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1052693526 |
| P356 | DOI | 10.1186/1471-2288-14-112 |
| P932 | PMC publication ID | 4193287 |
| P698 | PubMed publication ID | 25262204 |
| P5875 | ResearchGate publication ID | 266253198 |
| P50 | author | John Ioannidis | Q6251482 |
| Philippe Ravaud | Q37368509 | ||
| Ludovic Trinquart | Q37836849 | ||
| P2093 | author name string | Gilles Chatellier | |
| P2860 | cites work | Why most published research findings are false | Q21092395 |
| How many scientists fabricate and falsify research? A systematic review and meta-analysis of survey data | Q21143770 | ||
| Reporting bias in medical research - a narrative review | Q21203744 | ||
| Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature | Q21563436 | ||
| Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy | Q23791313 | ||
| Publication bias in clinical trials due to statistical significance or direction of trial results | Q24241884 | ||
| Negative results are disappearing from most disciplines and countries | Q24273200 | ||
| Excess Significance Bias in the Literature on Brain Volume Abnormalities | Q24273222 | ||
| An exploratory test for an excess of significant findings | Q24273224 | ||
| The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey | Q24282603 | ||
| Effectiveness of antidepressants: an evidence myth constructed from a thousand randomized trials? | Q24288917 | ||
| Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews | Q24289190 | ||
| Evaluation of the potential excess of statistically significant findings in published genetic association studies: application to Alzheimer's disease | Q24289214 | ||
| Analysis of the systematic reviews process in reports of network meta-analyses: methodological systematic review | Q27022649 | ||
| Operating characteristics of a rank correlation test for publication bias | Q27860653 | ||
| Dissemination and publication of research findings: an updated review of related biases | Q28274123 | ||
| Publication bias in antipsychotic trials: an analysis of efficacy comparing the published literature to the US Food and Drug Administration database | Q28481584 | ||
| Impact of Reporting Bias in Network Meta-Analysis of Antidepressant Placebo-Controlled Trials | Q28482475 | ||
| A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints | Q29614902 | ||
| Systematic review of the empirical evidence of study publication bias and outcome reporting bias | Q29619094 | ||
| Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials | Q29620299 | ||
| A test for publication bias in meta-analysis with sparse binary data | Q31043483 | ||
| Adjustment for reporting bias in network meta-analysis of antidepressant trials | Q31100974 | ||
| Network meta-analysis-highly attractive but more methodological research is needed | Q33943750 | ||
| Inflation of type I error rate in two statistical tests for the detection of publication bias in meta-analyses with binary outcomes | Q34805880 | ||
| Evaluation of excess significance bias in animal studies of neurological diseases | Q34844822 | ||
| Meta-analysis, funnel plots and sensitivity analysis | Q35204707 | ||
| Comprehensive field synopsis and systematic meta-analyses of genetic association studies in cutaneous melanoma | Q36481732 | ||
| Evaluation of networks of randomized trials | Q36966424 | ||
| Interpretation of tests of heterogeneity and bias in meta-analysis | Q37329334 | ||
| Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses | Q37572176 | ||
| Bias in associations of emerging biomarkers with cardiovascular disease | Q37846832 | ||
| Review of mixed treatment comparisons in published systematic reviews shows marked increase since 2009. | Q38148860 | ||
| A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis | Q42290088 | ||
| Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis | Q43038395 | ||
| Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial | Q44735204 | ||
| Detecting and adjusting for small-study effects in meta-analysis | Q44984775 | ||
| Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions | Q50577445 | ||
| Evaluating novel agent effects in multiple-treatments meta-regression | Q50674589 | ||
| A comparison of methods to detect publication bias in meta-analysis | Q52067551 | ||
| A sensitivity analysis for publication bias in systematic reviews | Q52933641 | ||
| Assessing the implications of publication bias for two popular estimates of between-study variance in meta-analysis | Q53021327 | ||
| Arcsine test for publication bias in meta-analyses with binary outcomes | Q53024164 | ||
| How to use an article reporting a multiple treatment comparison meta-analysis | Q53106594 | ||
| Evaluation of excess statistical significance in meta-analyses of 98 biomarker associations with cancer risk | Q53108290 | ||
| Network meta-analysis, electrical networks and graph theory | Q60636495 | ||
| Genetic effects versus bias for candidate polymorphisms in myocardial infarction: case study and overview of large-scale evidence | Q79758514 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | bias | Q742736 |
| P304 | page(s) | 112 | |
| P577 | publication date | 2014-01-01 | |
| P1433 | published in | BMC Medical Research Methodology | Q15752152 |
| P1476 | title | A test for reporting bias in trial networks: simulation and case studies | |
| P478 | volume | 14 |
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