Add to ORKGIn this paper, the authors use the rubric of ‘‘coarsened data,’ ’ of which missing and censored data are special cases, to motivate the elicitation and use of expert information for performing sensitivity analyses of censored event-time data. Elicited information is important because observed data are insufficient to estimate how study participants with coarsened data compare with participants with uncoarsened data, and misspecifying this com-parison may produce biased analysis results. In the presence of coarsening, performing a sensitivity analysis over a range of plausible assumptions is the best one can do. Here the authors illustrate an approach for eliciting expert information for use in sensitivity analyses to compare cumulative inci...
In epidemiological studies of the incidence of disease the onset of symptoms is often known only to ...
The analysis of time-to-event data typically makes the censoring at random assumption, i.e. that —co...
Censored data methods play an integral role in the analysis of survival data. Although there exist m...
In this paper, the authors use the rubric of ‘‘coarsened data,’ ’ of which missing and censored data...
In many prospective studies, including AIDS Link to the Intravenous Experience (ALIVE), researchers ...
SUMMARY. We consider inference for the treatment-arm mean difference of an outcome that would have b...
The primary analysis of time-to-event data typically makes the censoring at random assumption, that ...
In longitudinal cohort studies, potential risk factors are measured at baseline, subjects are follow...
In many medical studies, the outcome of interest may be the time from a starting point to a predefin...
Survival analysis methods can be used in infectious disease research to describe the occurrence and ...
This article presents a multiple imputation method for sensitivity analyses of time-to-event data wi...
In a paper by Siannis, Copas and Lu in Biostatistics, the authors proposed and studied a sensitivity...
Most statistical methods for censored survival data assume there is no dependence between the lifeti...
In many medical studies, individuals are seen periodically, at a set of pre-scheduled clinical visit...
Missing and censored data are common types of coarse data. An important consequence of the stochasti...
In epidemiological studies of the incidence of disease the onset of symptoms is often known only to ...
The analysis of time-to-event data typically makes the censoring at random assumption, i.e. that —co...
Censored data methods play an integral role in the analysis of survival data. Although there exist m...
In this paper, the authors use the rubric of ‘‘coarsened data,’ ’ of which missing and censored data...
In many prospective studies, including AIDS Link to the Intravenous Experience (ALIVE), researchers ...
SUMMARY. We consider inference for the treatment-arm mean difference of an outcome that would have b...
The primary analysis of time-to-event data typically makes the censoring at random assumption, that ...
In longitudinal cohort studies, potential risk factors are measured at baseline, subjects are follow...
In many medical studies, the outcome of interest may be the time from a starting point to a predefin...
Survival analysis methods can be used in infectious disease research to describe the occurrence and ...
This article presents a multiple imputation method for sensitivity analyses of time-to-event data wi...
In a paper by Siannis, Copas and Lu in Biostatistics, the authors proposed and studied a sensitivity...
Most statistical methods for censored survival data assume there is no dependence between the lifeti...
In many medical studies, individuals are seen periodically, at a set of pre-scheduled clinical visit...
Missing and censored data are common types of coarse data. An important consequence of the stochasti...
In epidemiological studies of the incidence of disease the onset of symptoms is often known only to ...
The analysis of time-to-event data typically makes the censoring at random assumption, i.e. that —co...
Censored data methods play an integral role in the analysis of survival data. Although there exist m...