| scholarly article | Q13442814 |
| review article | Q7318358 |
| P356 | DOI | 10.1111/J.1365-2753.2008.00986.X |
| P698 | PubMed publication ID | 19018930 |
| P50 | author | John Ioannidis | Q6251482 |
| P2860 | cites work | Why most published research findings are false | Q21092395 |
| 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 | ||
| Selection in reported epidemiological risks: an empirical assessment | Q24288769 | ||
| When should potentially false research findings be considered acceptable? | Q24288771 | ||
| Evolution of treatment effects over time: empirical insight from recursive cumulative metaanalyses | Q24289247 | ||
| Evidence based medicine: what it is and what it isn't | Q24655756 | ||
| The case of the misleading funnel plot | Q24676535 | ||
| Bias in meta-analysis detected by a simple, graphical test | Q24685585 | ||
| Operating characteristics of a rank correlation test for publication bias | Q27860653 | ||
| Measuring inconsistency in meta-analyses | Q27860655 | ||
| Quantifying heterogeneity in a meta-analysis | Q27860672 | ||
| Misleading funnel plot for detection of bias in meta-analysis | Q28144453 | ||
| Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis | Q28189245 | ||
| How should meta-regression analyses be undertaken and interpreted? | Q28193388 | ||
| Publication bias in clinical research | Q29541186 | ||
| Quantitative synthesis in systematic reviews | Q29614894 | ||
| A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints | Q29614902 | ||
| Comparison of two methods to detect publication bias in meta-analysis | Q29617904 | ||
| Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles | Q29618882 | ||
| Assessing heterogeneity in meta-analysis: Q statistic or I2 index? | Q29619545 | ||
| Recursive cumulative meta-analysis: a diagnostic for the evolution of total randomized evidence from group and individual patient data | Q30574153 | ||
| A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis | Q30669346 | ||
| Commentary: meta-analysis of individual participants' data in genetic epidemiology | Q30707324 | ||
| Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. | Q31016826 | ||
| Extreme between-study homogeneity in meta-analyses could offer useful insights | Q33257829 | ||
| Heterogeneity and statistical significance in meta-analysis: an empirical study of 125 meta-analyses | Q33947262 | ||
| The existence of publication bias and risk factors for its occurrence | Q34373168 | ||
| Identifying outcome reporting bias in randomised trials on PubMed: review of publications and survey of authors | Q34389549 | ||
| Inflation of type I error rate in two statistical tests for the detection of publication bias in meta-analyses with binary outcomes | Q34805880 | ||
| Controlling the risk of spurious findings from meta-regression. | Q35782230 | ||
| Relative citation impact of various study designs in the health sciences | Q36130841 | ||
| Bias in clinical intervention research. | Q36380552 | ||
| A simulation study comparing properties of heterogeneity measures in meta-analyses | Q36601029 | ||
| Uncertainty in heterogeneity estimates in meta-analyses | Q36987539 | ||
| The relationship between study design, results, and reporting of randomized clinical trials of HIV infection | Q39227462 | ||
| Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care. | Q40590984 | ||
| Heterogeneity of the baseline risk within patient populations of clinical trials: a proposed evaluation algorithm | Q40832107 | ||
| A consumer's guide to subgroup analyses | Q41111858 | ||
| Limitations of applying summary results of clinical trials to individual patients: the need for risk stratification | Q43674377 | ||
| Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation. | Q51888144 | ||
| Statistics in medicine--reporting of subgroup analyses in clinical trials. | Q51899945 | ||
| In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias. | Q51967379 | ||
| Meta-regression detected associations between heterogeneous treatment effects and study-level, but not patient-level, factors. | Q51990048 | ||
| A graphical method for exploring heterogeneity in meta-analyses: application to a meta-analysis of 65 trials. | Q52032770 | ||
| A comparison of methods to detect publication bias in meta-analysis. | Q52067551 | ||
| The population risk as an explanatory variable in research synthesis of clinical trials. | Q52298897 | ||
| A note on graphical presentation of estimated odds ratios from several clinical trials | Q52553734 | ||
| Summing up evidence: one answer is not always enough. | Q52900179 | ||
| Clinical trial registration: looking back and moving ahead | Q57247899 | ||
| P433 | issue | 5 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | bias | Q742736 |
| meta-analysis | Q815382 | ||
| heterogeneity | Q928498 | ||
| P304 | page(s) | 951-957 | |
| P577 | publication date | 2008-10-01 | |
| P1433 | published in | Journal of Evaluation in Clinical Practice | Q15767649 |
| P1476 | title | Interpretation of tests of heterogeneity and bias in meta-analysis | |
| P478 | volume | 14 |
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