New Test for the Comparison of Survival Curves to Detect Late Differences
Background. Survival analysis attracted the attention of different scientists from various domains such as engineering, health, and social sciences. It has been widely exploited in clinical trials when comparing different treatments looking at their ...
Ildephonse Nizeyimana +2 more
doaj +1 more source
A Re-Analysis of a Randomized Clinical Trial for Gastric Cancer Using Interval Censoring [PDF]
In a previous randomized clinical trial against curatively resected gastric cancer, we compared the effect of immunochemotherapy to chemotherapy and obtained significantly better survival and disease-free survival time (DFS) in a combined therapy group.
J, Sakamoto +3 more
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Which test for crossing survival curves? A user’s guideline
Background The exchange of knowledge between statisticians developing new methodology and clinicians, reviewers or authors applying them is fundamental. This is specifically true for clinical trials with time-to-event endpoints.
Ina Dormuth +5 more
doaj +1 more source
A joint test for progression and survival with interval‐censored data from a cancer clinical trial [PDF]
Clinical trials often assess efficacy by comparing treatments on the basis of two or more event‐time outcomes. In the case of cancer clinical trials, progression‐free survival (PFS), which is the minimum of the time from randomization to progression or to death, summarizes the comparison of treatments on the hazards for disease progression and ...
Finkelstein, Dianne M. +1 more
openaire +3 more sources
Impact of informative censoring on the treatment effect estimate of disability worsening in multiple sclerosis clinical trials [PDF]
To examine the impact of missing data when evaluating the confirmed disability worsening (CDW) endpoint in multiple sclerosis clinical trials and explore analytical methods for handling censored participants (those with missing confirmation data).CDW risk factors were assessed among participants with an initial disability worsening (≥ 1.0-point ...
Katherine Riester +5 more
openaire +2 more sources
Distributional regression in clinical trials: treatment effects on parameters other than the mean
Background The classical linear model is widely used in the analysis of clinical trials with continuous outcomes. However, required model assumptions are frequently not met, resulting in estimates of treatment effect that can be inefficient and biased ...
Gillian Z. Heller +2 more
doaj +1 more source
Variable Selection for Length-Biased and Interval-Censored Failure Time Data
Length-biased failure time data occur often in various biomedical fields, including clinical trials, epidemiological cohort studies and genome-wide association studies, and their analyses have been attracting a surge of interest.
Fan Feng, Guanghui Cheng, Jianguo Sun
doaj +1 more source
Optimization of Random Sample Size in Progressively Type II Censoring based on Cost Criterion
Introduction Censored sample arises in a life-testing experiment whenever the experimenter does not observe the failure times of all units placed on a life-test.
Elham Basiri
doaj
Summary: Background: While increased CD8 counts and low CD4/CD8 ratio during treated HIV correlate with immunosenescence, their additional predictive values to identify individuals with HIV at higher risk of clinical events remain controversial. Methods:
Sergio Serrano-Villar +8 more
doaj +1 more source
Sensitivity of the discrete‐time Kaplan–Meier estimate to nonignorable censoring: Application in a clinical trial [PDF]
Untestable assumptions about the association between survival and censoring times can affect the validity of estimates of the survival distribution including the Kaplan–Meier (KM) nonparametric maximum likelihood estimate (MLE). This paper explores the sensitivity of the KM curve to nonignorable censoring by extending the index of local sensitivity to ...
Tao, Liu, Daniel F, Heitjan
openaire +2 more sources

