<p>Reference categories for the independent variables in the linear regression model were an increase in <i>phi</i><sub><i>i</i></sub> between 0.40–0.50, no subset, and no covariate.</p><p>Influence of including a covariate for detection and subsampling on bias of estimated trends, when stopover duration (indexed by daily survival probability <i>phi</i><sub><i>i</i></sub>) increased systematically over time.</p
Abstract: Multiple event data are frequently encountered in incident and prevalent cohort studies wh...
Influence diagnostic measures for various statistical models have been developed. Nonetheless, a pro...
Statistical models are often fitted to obtain a concise description of the association of an outcome...
<p>Reference categories for the independent variables in the linear regression model were no trend (...
<p>Bias (%year<sup>-1</sup>) in estimated trend in migration counts (estimated—simulated trend), whe...
<p>Reference categories for the independent variables in the linear regression model were no trend (...
In this paper, we investigate the impact of time-invariant covariates when fitting transition mixed ...
The mean and standard error for the four covariates included in the best fit model for the full data...
MOTIVATION: Discrimination statistics describe the ability of a survival model to assign higher r...
<p>Notations: </p><p></p><p></p><p></p><p><mi>π</mi></p><mo>^</mo><p></p><p></p><p></p>, estimated p...
International audienceIn survival analysis, time-varying covariates are covariates whose value can c...
MotivationDiscrimination statistics describe the ability of a survival model to assign higher risks ...
In longitudinal cohort studies, potential risk factors are measured at baseline, subjects are follow...
The analysis of randomized trials with time-to-event endpoints is nearly always plagued by the probl...
Observational studies are nonrandomized experiments in which treated and control groups may differ w...
Abstract: Multiple event data are frequently encountered in incident and prevalent cohort studies wh...
Influence diagnostic measures for various statistical models have been developed. Nonetheless, a pro...
Statistical models are often fitted to obtain a concise description of the association of an outcome...
<p>Reference categories for the independent variables in the linear regression model were no trend (...
<p>Bias (%year<sup>-1</sup>) in estimated trend in migration counts (estimated—simulated trend), whe...
<p>Reference categories for the independent variables in the linear regression model were no trend (...
In this paper, we investigate the impact of time-invariant covariates when fitting transition mixed ...
The mean and standard error for the four covariates included in the best fit model for the full data...
MOTIVATION: Discrimination statistics describe the ability of a survival model to assign higher r...
<p>Notations: </p><p></p><p></p><p></p><p><mi>π</mi></p><mo>^</mo><p></p><p></p><p></p>, estimated p...
International audienceIn survival analysis, time-varying covariates are covariates whose value can c...
MotivationDiscrimination statistics describe the ability of a survival model to assign higher risks ...
In longitudinal cohort studies, potential risk factors are measured at baseline, subjects are follow...
The analysis of randomized trials with time-to-event endpoints is nearly always plagued by the probl...
Observational studies are nonrandomized experiments in which treated and control groups may differ w...
Abstract: Multiple event data are frequently encountered in incident and prevalent cohort studies wh...
Influence diagnostic measures for various statistical models have been developed. Nonetheless, a pro...
Statistical models are often fitted to obtain a concise description of the association of an outcome...