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Published in 2025 at "British journal of clinical pharmacology"
DOI: 10.1002/bcp.70341
Abstract: Patient-reported outcomes (PROs) are essential for assessing clinical benefit and tolerability from the patient's perspective. In oncology trials, PRO data analysis often involves responder and time-to-event analyses, which depend on predefined thresholds to determine clinically…
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Keywords:
time event;
breast cancer;
responder time;
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Published in 2024 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5886
Abstract: This article provides an overview of time‐to‐event (TTE) analysis in pharmacoepidemiology.
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Keywords:
time;
analysis;
time event;
pharmacoepidemiology ... See more keywords
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Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10282
Abstract: To assess the preliminary therapeutic impact of a novel treatment, futility monitoring is commonly employed in Phase II clinical trials to facilitate informed decisions regarding the early termination of trials. Given the rapid evolution in…
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Keywords:
event endpoints;
time;
time event;
event ... See more keywords
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Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.10327
Abstract: A causal mediation model with multiple time‐to‐event mediators is exemplified by the natural course of human disease marked by sequential milestones with a time‐to‐event nature. For example, from hepatitis B infection to death, patients may…
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Keywords:
event mediators;
path specific;
time event;
event ... See more keywords
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Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.70019
Abstract: While well‐established methods for time‐to‐event data are available when the proportional hazards assumption holds, there is no consensus on the best inferential approach under non‐proportional hazards (NPH). However, a wide range of parametric and non‐parametric…
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Keywords:
non proportional;
proportional hazards;
methods time;
time event ... See more keywords
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Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.70045
Abstract: When planning a clinical trial for a time‐to‐event endpoint, we require an estimated effect size and need to consider the type of effect. Usually, an effect of proportional hazards is assumed with the hazard ratio…
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Keywords:
time event;
proportional hazards;
stage;
effect ... See more keywords
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Published in 2017 at "Statistics in Medicine"
DOI: 10.1002/sim.7209
Abstract: Joint models for longitudinal and time‐to‐event data are particularly relevant to many clinical studies where longitudinal biomarkers could be highly associated with a time‐to‐event outcome. A cutting‐edge research direction in this area is dynamic predictions…
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Keywords:
medicine;
longitudinal time;
dynamic predictions;
time event ... See more keywords
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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7225
Abstract: Clinical trials with multiple primary time-to-event outcomes are common. Use of multiple endpoints creates challenges in the evaluation of power and the calculation of sample size during trial design particularly for time-to-event outcomes. We present…
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Keywords:
time event;
clinical trials;
event;
bivariate ... See more keywords
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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8456
Abstract: The recent 21st Century Cures Act propagates innovations to accelerate the discovery, development, and delivery of 21st century cures. It includes the broader application of Bayesian statistics and the use of evidence from clinical expertise.…
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Keywords:
historical data;
trial;
time event;
leveraging historical ... See more keywords
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Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8793
Abstract: Medical studies that depend on electronic health records (EHR) data are often subject to measurement error, as the data are not collected to support research questions under study. These data errors, if not accounted for…
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Keywords:
methodology;
regression;
error;
time ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9327
Abstract: Adaptive enrichment designs in clinical trials have been developed to enhance drug developments. They permit, at interim analyses during the trial, to select the sub‐populations that benefits the most from the treatment. Because of this…
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Keywords:
estimation;
time event;
selection;
estimator ... See more keywords