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The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective

Psychonomic bulletin & review, 2018-02, Vol.25 (1), p.178-206

2018

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Bayesian data analysis for newcomers

Psychonomic bulletin & review, 2018-02, Vol.25 (1), p.155-177

2018

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

European journal of epidemiology, 2016-04, Vol.31 (4), p.337-350

2016

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Zero- vs. one-dimensional, parametric vs. non-parametric, and confidence interval vs. hypothesis testing procedures in one-dimensional biomechanical trajectory analysis

Journal of biomechanics, 2015-05, Vol.48 (7), p.1277-1285

2015

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Estimating average annual per cent change in trend analysis

Statistics in medicine, 2009-12, Vol.28 (29), p.3670-3682

2009

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The New Statistics: Why and How

Psychological science, 2014-01, Vol.25 (1), p.7-29

Cumming, Geoff

2014

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A simulation‐based comparison of estimation methods for adaptive and classical group sequential clinical trials

Pharmaceutical statistics : the journal of the pharmaceutical industry, 2022-05, Vol.21 (3), p.599-611

2022

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Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?

BMC medical research methodology, 2016-08, Vol.16 (1), p.93-93, Article 93

2016

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Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach

Fertility and sterility, 2013-04, Vol.99 (5), p.1324-1331.e1

2013

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Net Reclassification Indices for Evaluating Risk Prediction Instruments: A Critical Review

Epidemiology (Cambridge, Mass.), 2014-01, Vol.25 (1), p.114-121

2014

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Methods to estimate the between-study variance and its uncertainty in meta-analysis

Research synthesis methods, 2016-03, Vol.7 (1), p.55-79

2016

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Sample size formulas for estimating intraclass correlation coefficients with precision and assurance

Statistics in medicine, 2012-12, Vol.31 (29), p.3972-3981

Zou, G. Y.

2012

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coancestry: a program for simulating, estimating and analysing relatedness and inbreeding coefficients

Molecular ecology resources, 2011, Vol.11 (1), p.141-145

WANG, JINLIANG

2011

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The statistical interpretation of pilot trials: should significance thresholds be reconsidered?

BMC medical research methodology, 2014-03, Vol.14 (1), p.41-41, Article 41

2014

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Are Curcuminoids Effective C‐Reactive Protein‐Lowering Agents in Clinical Practice? Evidence from a Meta‐Analysis

Phytotherapy research, 2014-05, Vol.28 (5), p.633-642

Sahebkar, Amirhossein

2014

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The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency

Journal of clinical epidemiology, 2012-03, Vol.65 (3), p.301-308

2012

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Back to the basics: Rethinking partial correlation network methodology

British journal of mathematical & statistical psychology, 2020-05, Vol.73 (2), p.187-212

2020

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Birth weight and subsequent risk of obesity: a systematic review and meta-analysis

Obesity reviews, 2011-07, Vol.12 (7), p.525-542

2011

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Exact‐corrected confidence interval for risk difference in noninferiority binomial trials

Biometrics, 2023-06, Vol.79 (2), p.1133-1144

2023

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Toward Using Confidence Intervals to Compare Correlations

Psychological methods, 2007-12, Vol.12 (4), p.399-413

2007

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Construction of confidence limits about effect measures: A general approach

Statistics in medicine, 2008-05, Vol.27 (10), p.1693-1702

2008

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Prognostic Significance of Myocardial Fibrosis in Hypertrophic Cardiomyopathy

Journal of the American College of Cardiology, 2010-09, Vol.56 (11), p.867-874

2010

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New Criterion for Confounder Selection

Biometrics, 2011-12, Vol.67 (4), p.1406-1413

2011

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Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

Genome Biology, 2019-03, Vol.20 (1), p.67-67, Article 67

2019

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A comparative study of confidence intervals to assess biosimilarity from analytical data

Pharmaceutical statistics : the journal of the pharmaceutical industry, 2019-05, Vol.18 (3), p.316-328

2019

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The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective

Bayesian data analysis for newcomers

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

Zero- vs. one-dimensional, parametric vs. non-parametric, and confidence interval vs. hypothesis testing procedures in one-dimensional biomechanical trajectory analysis

Estimating average annual per cent change in trend analysis

The New Statistics: Why and How

A simulation‐based comparison of estimation methods for adaptive and classical group sequential clinical trials

Measuring inter-rater reliability for nominal data - which coefficients and confidence intervals are appropriate?

Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach

Net Reclassification Indices for Evaluating Risk Prediction Instruments: A Critical Review

Methods to estimate the between-study variance and its uncertainty in meta-analysis

Sample size formulas for estimating intraclass correlation coefficients with precision and assurance

coancestry: a program for simulating, estimating and analysing relatedness and inbreeding coefficients

The statistical interpretation of pilot trials: should significance thresholds be reconsidered?

Are Curcuminoids Effective C‐Reactive Protein‐Lowering Agents in Clinical Practice? Evidence from a Meta‐Analysis

The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency

Back to the basics: Rethinking partial correlation network methodology

Birth weight and subsequent risk of obesity: a systematic review and meta-analysis

Exact‐corrected confidence interval for risk difference in noninferiority binomial trials

Toward Using Confidence Intervals to Compare Correlations

Construction of confidence limits about effect measures: A general approach

Prognostic Significance of Myocardial Fibrosis in Hypertrophic Cardiomyopathy

New Criterion for Confounder Selection

Topconfects: a package for confident effect sizes in differential expression analysis provides a more biologically useful ranked gene list

A comparative study of confidence intervals to assess biosimilarity from analytical data

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