Unvalidated R source code

NIAID Data Ecosystem2026-03-11 收录

临床试验自适应设计

样本量重新计算

数据链接：

http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.dfn2z34wd 数据链接链接失效反馈

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资源简介：

Univalidated R source code implmenting a performance comparison of adaptive sample size recalculation rules including in particular the new performance score by Herrmann et al. (2019)

创建时间：

2019-11-25

Optimizing Sample Size Allocation and Power in a Bayesian Two-Stage Drop-the-Losers Design

临床试验自适应设计

贝叶斯两阶段试验优化

When a researcher desires to test several treatment arms against a control arm, a two-stage adaptive design can be more efficient than a single-stage design where patients are equally allocated to all

NIAID Data Ecosystem90

New results on optimal conditional error functions for adaptive two-stage designs

临床试验自适应设计

条件误差函数优化

Unblinded interim analyses in clinical trials with adaptive designs are gaining increasing popularity. Here, the type I error rate is controlled by defining an appropriate conditional error function.

Figshare2024-04-17 更新30

pone.0336146.t020 -

药物剂量优化

临床试验自适应设计

Adaptive designs for integrated phase I/II trials of drug combinations are increasingly utilized to speed up the drug development process and enhance drug efficacy, particularly in the realm of cancer

NIAID Data Ecosystem20

sj-R-2-smm-10.1177_09622802211043262 - Supplemental material for Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics

生存分析

临床试验自适应设计

Supplemental material, sj-R-2-smm-10.1177_09622802211043262 for Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics by Jannik Feld, Andreas Faldum and Rene S

DataCite Commons2024-08-28 更新50

Additional file 4 of Sample size recalculation based on the overall success rate in a randomized test-treatment trial with restricting randomization to discordant pairs

临床试验设计

样本量重新计算

Supplementary Material 4. Listing: Empirical Power

Figshare2025-03-18 更新20