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Literature DB >> 26820540

Solutions for quantifying P-value uncertainty and replication power.

Laura C Lazzeroni¹, Ying Lu^2,3, Ilana Belitskaya-Lévy².

Abstract

Mesh：

Year: 2016 PMID： 26820540 DOI： 10.1038/nmeth.3741

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

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6 in total

1. A comment on replication, p-values and evidence.

Authors: S N Goodman
Journal: Stat Med Date: 1992-05 Impact factor: 2.373

2. Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better.

Authors: Geoff Cumming
Journal: Perspect Psychol Sci Date: 2008-07

3. The fickle P value generates irreproducible results.

Authors: Lewis G Halsey; Douglas Curran-Everett; Sarah L Vowler; Gordon B Drummond
Journal: Nat Methods Date: 2015-03 Impact factor: 28.547

4. Scientific method: statistical errors.

Authors: Regina Nuzzo
Journal: Nature Date: 2014-02-13 Impact factor: 49.962

5. P-Value Precision and Reproducibility.

Authors: Dennis D Boos; Leonard A Stefanski
Journal: Am Stat Date: 2012-01-24 Impact factor: 8.710

6. P-values in genomics: apparent precision masks high uncertainty.

Authors: L C Lazzeroni; Y Lu; I Belitskaya-Lévy
Journal: Mol Psychiatry Date: 2014-01-14 Impact factor: 15.992

6 in total

9 in total

1. Genome-wide Association of Endophenotypes for Schizophrenia From the Consortium on the Genetics of Schizophrenia (COGS) Study.

Authors: Tiffany A Greenwood; Laura C Lazzeroni; Adam X Maihofer; Neal R Swerdlow; Monica E Calkins; Robert Freedman; Michael F Green; Gregory A Light; Caroline M Nievergelt; Keith H Nuechterlein; Allen D Radant; Larry J Siever; Jeremy M Silverman; William S Stone; Catherine A Sugar; Debby W Tsuang; Ming T Tsuang; Bruce I Turetsky; Ruben C Gur; Raquel E Gur; David L Braff
Journal: JAMA Psychiatry Date: 2019-12-01 Impact factor: 21.596

Solutions for quantifying P-value uncertainty and replication power.

1. A comment on replication, p-values and evidence.

2. Replication and p Intervals: p Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better.

3. The fickle P value generates irreproducible results.

4. Scientific method: statistical errors.

5. P-Value Precision and Reproducibility.

6. P-values in genomics: apparent precision masks high uncertainty.

1. Genome-wide Association of Endophenotypes for Schizophrenia From the Consortium on the Genetics of Schizophrenia (COGS) Study.

2. Proposal of a Selection Protocol for Replication of Studies in Sports and Exercise Science.

3. Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling.

4. The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum?

5. Quantifying posterior effect size distribution of susceptibility loci by common summary statistics.

6. Commentary: Robust quantification of orientation selectivity and direction selectivity.

7. Reverse Bayesian Implications of p-Values Reported in Critical Care Randomized Trials.

8. The debate about p-values.

9. Bayesian prediction intervals for assessing P-value variability in prospective replication studies.