Model diagnostics for the proportional hazards model with length-biased data
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Publication:2274662
DOI10.1007/s10985-018-9422-yzbMath1429.62562OpenAlexW2790616706WikidataQ49947561 ScholiaQ49947561MaRDI QIDQ2274662
Jing Ning, Chi Hyun Lee, Yu Shen
Publication date: 1 October 2019
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc6095831
Applications of statistics to biology and medical sciences; meta analysis (62P10) Diagnostics, and linear inference and regression (62J20) Reliability and life testing (62N05)
Cites Work
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- Introduction to empirical processes and semiparametric inference
- Using cumulative sums of martingale residuals for model checking in nested case-control studies
- A model checking method for the proportional hazards model with recurrent gap time data
- Proportional mean residual life model for right-censored length-biased data
- Maximum Likelihood Estimations and EM Algorithms With Length-Biased Data
- Pseudo-partial likelihood for proportional hazards models with biased-sampling data
- Testing goodness‐of‐fit for the proportional hazards model based on nested case–control data
- Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model
- Estimation under length-bias and right-censoring: An application to unemployment duration analysis for married women
- Hazards regression analysis for length-biased data
- Checking the marginal Cox model for correlated failure time data
- Econometric Methods for the Duration of Unemployment
- Checking the Cox model with cumulative sums of martingale-based residuals
- Length-Biased Sampling With Right Censoring
- Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
- Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models
- On the theory of screening for chronic diseases
