Statistical Evaluation of Four Central Reading Processes.
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 82, doi. 10.1080/19466315.2020.1714713
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- Publication type:
- Article
Works in Statistics in Biopharmaceutical Research, 2021, Vol 13, Issue 1
Results: 23
1
2
Optimal Designs for Multi-Arm Phase II/III Drug Development Programs.
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 71, doi. 10.1080/19466315.2019.1702092
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- Publication type:
- Article
3
Statistical Assessment of Biosimilarity Based on the Relative Distance Between Follow-on Biologics for Time-to-Event Endpoints.
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 91, doi. 10.1080/19466315.2020.1721317
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- Publication type:
- Article
4
Methods for Non-Compartmental Pharmacokinetic Analysis With Observations Below the Limit of Quantification.
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 59, doi. 10.1080/19466315.2019.1701546
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- Publication type:
- Article
5
Statement on P-values.
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- 2021
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- Publication type:
- Letter
6
Editorial: Roles of Hypothesis Testing, p-Values and Decision Making in Biopharmaceutical Research.
- Published in:
- 2021
- By:
- Publication type:
- Editorial
7
Rejoinder to Commentaries on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 55, doi. 10.1080/19466315.2021.1874508
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- Publication type:
- Article
8
Editorial Collaborators.
- Published in:
- 2021
- Publication type:
- Editorial
9
The p-Value: Guilty by Association.
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 32, doi. 10.1080/19466315.2020.1854845
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- Publication type:
- Article
10
CommentAre p-values Useful to Judge the Evidence Against the Null Hypotheses in Complex Clinical Trials? A Comment on "The Role of p-values in Judging the Strength of Evidence and Realistic Replication Expectations".
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 43, doi. 10.1080/19466315.2020.1847182
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- Publication type:
- Article
11
It's the Selection's Fault—Not the p-Values': A Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 22, doi. 10.1080/19466315.2020.1845790
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- Publication type:
- Article
12
A Bayesian Posterior Probability Is the Real Replication Probability.
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 49, doi. 10.1080/19466315.2020.1831952
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- Publication type:
- Article
13
Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 46, doi. 10.1080/19466315.2020.1828161
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- Publication type:
- Article
14
Is the p-Value a Suitable Basis for the Construction of Measures of Evidence? Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 28, doi. 10.1080/19466315.2020.1826356
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- Publication type:
- Article
15
Waking up to p: Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 19, doi. 10.1080/19466315.2020.1811151
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- Publication type:
- Article
16
p-Value, Hypothesis Testing, Strength of Evidence: Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 30, doi. 10.1080/19466315.2020.1811150
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- Publication type:
- Article
17
Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 26, doi. 10.1080/19466315.2020.1811149
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- Publication type:
- Article
18
p-Values and Replicability: A Commentary on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 36, doi. 10.1080/19466315.2020.1807404
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- Publication type:
- Article
19
Comment on "The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations".
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 40, doi. 10.1080/19466315.2020.1782259
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- Publication type:
- Article
20
The Use of a Variable Representing Compliance Improves Accuracy of Estimation of the Effect of Treatment Allocation Regardless of Discontinuation in Trials with Incomplete Follow-up.
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 119, doi. 10.1080/19466315.2020.1736141
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- Publication type:
- Article
21
A Simple Mantel–Haenszel Type Test for Noninferiority.
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- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 113, doi. 10.1080/19466315.2020.1736140
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- Publication type:
- Article
22
Testing Procedures for Claiming Success on at Least k Out of m Hypotheses with an Application to Biosimilar Development.
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 106, doi. 10.1080/19466315.2020.1730233
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- Publication type:
- Article
23
The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations.
- Published in:
- Statistics in Biopharmaceutical Research, 2021, v. 13, n. 1, p. 6, doi. 10.1080/19466315.2020.1724560
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- Publication type:
- Article