scispace - formally typeset
S

Steven N. Goodman

Researcher at Stanford University

Publications -  311
Citations -  38705

Steven N. Goodman is an academic researcher from Stanford University. The author has contributed to research in topics: Cancer & Randomized controlled trial. The author has an hindex of 83, co-authored 279 publications receiving 33971 citations. Previous affiliations of Steven N. Goodman include Johns Hopkins University School of Medicine & Research Triangle Park.

Papers
More filters
Journal ArticleDOI

Inactivation of the DNA-Repair Gene MGMT and the Clinical Response of Gliomas to Alkylating Agents

TL;DR: Methylation of the MGMT promoter in gliomas is a useful predictor of the responsiveness of the tumors to alkylating agents and an independent and stronger prognostic factor than age, stage, tumor grade, or performance status.
Journal ArticleDOI

Redefine statistical significance

Daniel J. Benjamin, +76 more
TL;DR: The default P-value threshold for statistical significance is proposed to be changed from 0.05 to 0.005 for claims of new discoveries in order to reduce uncertainty in the number of discoveries.
Journal ArticleDOI

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

TL;DR: Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant as discussed by the authors, and there are no interpretations of these concepts that are at once simple, intuitive, correct, and foolproof Instead, correct use and interpretation of these statistics requires an attention to detail which seems to tax the patience of working scientists.
Posted Content

Redefine Statistical Significance

TL;DR: This article proposed to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005, which is the threshold used in this paper.
Journal Article

Statistical tests, P-values, confidence intervals, and power: a guide to misinterpretations

TL;DR: This paper provided definitions and a discussion of basic statistics that are more general and critical than typically found in traditional introductory expositions, and provided an explanatory list of 25 misinterpretations of P values, confidence intervals, and power.