Special feature: Recent statistical methods for survival analysis

Emura, Takeshi; Ha, Il Do

doi:10.1007/s42081-021-00140-0

Cited by 2 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relative advantages may arise only for more recent and advanced survival models, for instance, including cure fractions, latent variables, zero-inflation, and measurement errors. 62,63,[71][72][73][74][75] Finally, doubly-truncated data 76 arises if right-censoring is replaced by right-truncation. Doubly-truncated data, defined as data subject to left-truncation and right-truncation, arise in field failure analyses for mechanical units.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Left‐truncated and right‐censored field failure data: Review of parametric analysis for reliability

Emura

Michimae

2022

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

In field reliability analyses, a data collection period is given to monitor the failure events from the field. Left‐truncation arises due to early failures occurring before the data collection period, and right‐censoring arises for late failures occurring beyond the monitoring period. Naïve analyses of left‐truncated and right‐censored data lead to biased estimation of the population lifetime of interest. A variety of models and methods have been developed to analyze the left‐truncated and right‐censored data for field reliability analyses. The goal of the paper is to review the existing models and methods for fitting left‐truncated and right‐censored data. Our review includes the existing statistical models, such as the exponential, Weibull, lognormal, gamma, Gompertz, Lomax, and spline models. We comprehensively review the statistical issues of maximum likelihood estimation, model selection, residual lifetime prediction, and Bayesian methods. Some of these methods are illustrated through the field reliability analysis of the electric power transformer dataset.

show abstract

Section: Discussionmentioning

confidence: 99%

“…In our view, no big differences arise for fitting simple models. The relative advantages may arise only for more recent and advanced survival models, for instance, including cure fractions, latent variables, zero‐inflation, and measurement errors 62,63,71–75 …”

Section: Discussionmentioning

confidence: 99%

Left‐truncated and right‐censored field failure data: Review of parametric analysis for reliability

Emura

Michimae

2022

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…This paper reviews important parametric distributions used to model survival and reliability data, which consists of a list of 22 distributions (Table 1). The list could be insufficient since the research fields of survival and reliability analyses are wide-ranging, highly developed, and even growing recently [138][139][140]. Nonetheless, we hope that the list of parametric distributions may help researchers grasp the state-of-the-art knowledge for survival and reliability analyses.…”

Section: Discussionmentioning

confidence: 99%

Parametric Distributions for Survival and Reliability Analyses, a Review and Historical Sketch

et al. 2022

Self Cite

View full text Add to dashboard Cite

During its 330 years of history, parametric distributions have been useful for survival and reliability analyses. In this paper, we comprehensively review the historical backgrounds and statistical properties of a number of parametric distributions used in survival and reliability analyses. We provide encyclopedic coverage of the important parametric distributions, which is more extensive than the existing textbooks on survival and reliability analyses. We also explain how these distributions have been adopted in survival and reliability analyses with original and state-of-the-art references. We cover the exponential, Weibull, Rayleigh, lognormal, log-logistic, gamma, generalized gamma, Pareto (types I, II, and IV), Hjorth, Burr (types III and XII), Dagum, exponential power, Gompertz, Birnbaum-Saunders, exponential-logarithmic, piecewise exponential, generalized exponential, exponentiated Weibull, generalized modified Weibull, and spline distributions. We analyze a real dataset for illustration.

show abstract

Special feature: Recent statistical methods for survival analysis

Cited by 2 publications

References 35 publications

Left‐truncated and right‐censored field failure data: Review of parametric analysis for reliability

Left‐truncated and right‐censored field failure data: Review of parametric analysis for reliability

Parametric Distributions for Survival and Reliability Analyses, a Review and Historical Sketch

Contact Info

Product

Resources

About