scholarly article | Q13442814 |
P356 | DOI | 10.1002/SIM.7228 |
P698 | PubMed publication ID | 28127782 |
P50 | author | John Ioannidis | Q6251482 |
P2093 | author name string | T D Stanley | |
Hristos Doucouliagos | |||
P2860 | cites work | Why most published research findings are false | Q21092395 |
Epidemiology and reporting characteristics of systematic reviews | Q21144675 | ||
Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy | Q23791313 | ||
Nicotine replacement therapy for smoking cessation | Q24242851 | ||
The file drawer problem and tolerance for null results | Q24273204 | ||
The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey | Q24282603 | ||
Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations | Q24289437 | ||
Bias in meta-analysis detected by a simple, graphical test | Q24685585 | ||
A power primer | Q27861029 | ||
Power failure: why small sample size undermines the reliability of neuroscience | Q29547474 | ||
Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles | Q29618882 | ||
Systematic review of the empirical evidence of study publication bias and outcome reporting bias | Q29619094 | ||
Contradicted and initially stronger effects in highly cited clinical research | Q29620013 | ||
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials | Q29620299 | ||
Extent of publication bias in different categories of research cohorts: a meta-analysis of empirical studies | Q30920608 | ||
Publication bias: evidence of delayed publication in a cohort study of clinical research projects | Q36246225 | ||
The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews | Q36721160 | ||
Factors influencing publication of research results. Follow-up of applications submitted to two institutional review boards | Q36728722 | ||
Evidence of nicotine replacement's effectiveness dissolves when meta-regression accommodates multiple sources of bias | Q38808620 | ||
The value of a statistical life: a meta-analysis with a mixed effects regression model | Q40016710 | ||
Meta-regression approximations to reduce publication selection bias. | Q40858728 | ||
Meta-analysis inside and outside particle physics: two traditions that should converge? | Q40859086 | ||
Cohort study of trials submitted to ethics committee identified discrepant reporting of outcomes in publications | Q42246165 | ||
Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis | Q45488531 | ||
Obtaining evidence by a single well-powered trial or several modestly powered trials | Q48371779 | ||
Are estimates of the value of a statistical life exaggerated? | Q48547333 | ||
Neither fixed nor random: weighted least squares meta-regression | Q50624555 | ||
A simple confidence interval for meta-analysis | Q51640531 | ||
Explaining heterogeneity in meta-analysis: a comparison of methods | Q52141807 | ||
Random-effects meta-analyses are not always conservative | Q52915135 | ||
Neither fixed nor random: weighted least squares meta-analysis. | Q53168770 | ||
Is nicotine replacement really ineffective? A reply to Stanley and Massey. | Q54322154 | ||
Estimating Effect Size Under Publication Bias: Small Sample Properties and Robustness of a Random Effects Selection Model | Q56289277 | ||
Could It Be Better to Discard 90% of the Data? A Statistical Paradox | Q58255661 | ||
P433 | issue | 10 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | bias | Q742736 |
P304 | page(s) | 1580-1598 | |
P577 | publication date | 2017-01-27 | |
P1433 | published in | Statistics in Medicine | Q7604438 |
P1476 | title | Finding the power to reduce publication bias | |
P478 | volume | 36 |
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