The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations

Moving to a World Beyond “p 

(2019) Ronald L. Wasserstein et al.   AMERICAN STATISTICIAN

The p-Value Requires Context, Not a Threshold

(2019) Rebecca A. Betensky   AMERICAN STATISTICIAN

Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication

(2019) Valentin Amrhein et al.   AMERICAN STATISTICIAN

Three Recommendations for Improving the Use of p-Values

(2019) Daniel J. Benjamin et al.   AMERICAN STATISTICIAN

Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value Ban

(2019) Ronald D. Fricker et al.   AMERICAN STATISTICIAN

Why is Getting Rid of P-Values So Hard? Musings on Science and Statistics

(2019) Steven N. Goodman   AMERICAN STATISTICIAN

Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values

(2019) Sander Greenland   AMERICAN STATISTICIAN

Content Audit for p-value Principles in Introductory Statistics

(2019) Karsten Maurer et al.   AMERICAN STATISTICIAN

There is still a place for significance testing in clinical trials

(2019) Jonathan A Cook et al.   Clinical Trials

Rein in the four horsemen of irreproducibility

(2019) Dorothy Bishop   NATURE

Open science: The open clinical trials data journey

(2019) Frank Rockhold et al.   Clinical Trials

New Guidelines for Statistical Reporting in the Journal

(2019) David Harrington et al.   NEW ENGLAND JOURNAL OF MEDICINE

Estimation of clinical trial success rates and related parameters

(2018) Chi Heem Wong et al.   BIOSTATISTICS

Panning for gold: ‘model-X’ knockoffs for high dimensional controlled variable selection

(2018) Emmanuel Candès et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

On p-Values and Bayes Factors

(2018) Leonhard Held et al.   Annual Review of Statistics and Its Application

Some Natural Solutions to the p-Value Communication Problem—and Why They Won’t Work

(2017) Andrew Gelman et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Measuring clinical trial transparency: an empirical analysis of newly approved drugs and large pharmaceutical companies

(2017) Jennifer E Miller et al.   BMJ Open

The ASA's Statement onp-Values: Context, Process, and Purpose

(2016) Ronald L. Wasserstein et al.   AMERICAN STATISTICIAN

Transforming Drug Development in Heart Failure

(2016) Muthiah Vaduganathan et al.   Circulation-Heart Failure

The Primary Outcome Is Positive — Is That Good Enough?

(2016) Stuart J. Pocock et al.   NEW ENGLAND JOURNAL OF MEDICINE

The Primary Outcome Fails — What Next?

(2016) Stuart J. Pocock et al.   NEW ENGLAND JOURNAL OF MEDICINE

P 

(2015) Anne-Sophie Jannot et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Clinical development success rates for investigational drugs

(2014) Michael Hay et al.   NATURE BIOTECHNOLOGY

Multiplicity and replicability: two sides of the same coin

(2014) Frank Bretz et al.   PHARMACEUTICAL STATISTICS

The shrinking or disappearing observed treatment effect

(2014) Christy Chuang-Stein et al.   PHARMACEUTICAL STATISTICS

Discussion: An estimate of the science-wise false discovery rate and applications to top medical journals by Jager and Leek

(2013) Y. Benjamini et al.   BIOSTATISTICS

Effect of Amlodipine on the Survival of Patients With Severe Chronic Heart Failure Due to a Nonischemic Cardiomyopathy

(2013) Milton Packer et al.   JACC-Heart Failure

P-Value Precision and Reproducibility

(2012) Dennis D. Boos et al.   AMERICAN STATISTICIAN

Empirical Evaluation of Very Large Treatment Effects of Medical Interventions

(2012) Tiago V. Pereira et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Discounting phase 2 results when planning phase 3 clinical trials

(2012) S. Kirby et al.   PHARMACEUTICAL STATISTICS

Trends in Risks Associated With New Drug Development: Success Rates for Investigational Drugs

(2010) J A DiMasi et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

A Selection Bias Conflict and Frequentist versus Bayesian Viewpoints

(2009) Micha Mandel et al.   AMERICAN STATISTICIAN