Comparison of methods for identifying the optimal treatment duration in randomized trials for antibiotics

We conclude that the success of the next era in TB therapeutics duration evaluation trials, and antibiotics duration-ranging more broadly, will meaningfully rely on the ability to simultaneously pair innovative model-based statistical methods with re-imagined study designs such as MAMS-ROCI.

Authors

Institutions

Publication Details

Journal
Trials
Published
2025-09-24
DOI
https://doi.org/10.1186/s13063-025-09050-y
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of methods for identifying the optimal treatment duration in randomized trials for antibiotics

Patrick P. J. Phillips, Suzanne M. Dufault, Brian H Aldana
Trials
Statistical Methods in Clinical Trials
article

Comparison of methods for identifying the optimal treatment duration in randomized trials for antibiotics

Patrick P. J. Phillips, Suzanne M. Dufault, Brian H Aldana
article en

Abstract

We conclude that the success of the next era in TB therapeutics duration evaluation trials, and antibiotics duration-ranging more broadly, will meaningfully rely on the ability to simultaneously pair innovative model-based statistical methods with re-imagined study designs such as MAMS-ROCI.

TrialsVol. 26(1)
University of California, San Francisco (US), University of California San Francisco Medical Center (US), Biostatistical Consulting (United States) (US)
National Institutes of Health, University of California, San Francisco, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 75%
Statistical Methods in Clinical Trials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.