Reliability of Bridge Decks in Wisconsin

Tabatabai, Habib; Tabatabai, Mohammad; Lee, Chin‐Wei

doi:10.1061/(asce)be.1943-5592.0000133

Cited by 30 publications

(46 citation statements)

References 18 publications

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“…Result indicates that parametric models provide a better fit to the breast cancer data. In addition, hypertabastic accelerated failure time model (AFT model) was also introduced by Tabatabai et al [7], and has been applied to a medical data and an engineering data by Tabatabai et al in [7] and [13] respectively. The hypertabastic AFT model also shows flexibility and performs well compared with other models.…”

Section: Discussionmentioning

confidence: 99%

Survival Analysis for a Breast Cancer Data Set

Li¹

2017

ABCR

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A survival analysis on a data set of 295 early breast cancer patients is performed in this study. A new proportional hazards model, hypertabastic model was applied in the survival analysis. We assume a proportional hazards model, and select two sets of risk factors for death and metastasis for breast cancer patients respectively by using standard variable selection methods. To evaluate the performance of the new model and compare it with other popular distributions, Cox, Weibull and log-logistic models were fitted to the data besides the hypertabastic model. Result shows that the hypertabastic proportional hazards model outperformed all the comparison models and provided the best fit for the breast cancer data. In addition, we observed that the gene expression variable, wound response signature, combined with other clinical variables, can provide an effective model to predict the overall survival and hazard rate for breast cancer patients.

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Section: Discussionmentioning

confidence: 99%

Survival Analysis for a Breast Cancer Data Set

Li¹

2017

ABCR

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“…We also note that this model displays robustness with respect to departure from distribution, as demonstrated in. [19][20][21] Furthermore, the results of this paper demonstrate this model works effectively with this breast cancer survival data. This model is compared with other parametric survival models such as Weibull and log-logistic, displaying a lower AIC than these other models.…”

Section: S T Sech T Coth Tmentioning

confidence: 90%

Role of Metastasis in Hypertabastic Survival Analysis of Breast Cancer: Interaction with Clinical and Gene Expression Variables

Tabatabai

Eby

Nimeh

et al. 2012

Cancer�Growth�Metastasis

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This paper analyzes the survival of breast cancer patients, exploring the role of a metastasis variable in combination with clinical and gene expression variables. We use the hypertabastic model in a detailed analysis of 295 breast cancer patients from the Netherlands Cancer Institute given in.1 In comparison to Cox regression the increase in accuracy is complemented by the ability to analyze the time course of the disease progression using the explicitly described hazard and survival curves. We also demonstrate the ability to compute deciles for survival and probability of survival to a given time. Our primary concern in this article is the introduction of a variable representing the existence of metastasis and the effects on the other clinical and gene expression variables. In addition to making a quantitative assessment of the impact of metastasis on the prospects for survival, we are able to look at its interactions with the other prognostic variables. The estrogen receptor status increase in importance, while the significance of the gene expression variables used in the combined model diminishes. When considering only the subgroup of patients who experienced metastasis, the covariates in the model are only the clinical variables for estrogen receptor status and tumor grade.

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“…The overall approach used by Tabatabai et al [12] for the analysis of Wisconsin bridge deck data was also used in this study. Data from each state were analyzed separately.…”

Section: Objective and Scopementioning

confidence: 99%

“…In a preceding study, Tabatabai et al [12] developed a survival model for bridge decks in Wisconsin using data from the 2005 NBI records. A recorded deck rating of 5 (on a scale of 0 to 9) was considered to be the end of service life for a bridge deck.…”

Section: Introductionmentioning

confidence: 99%

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Reliability of bridge decks in the United States

Tabatabai

Lee

Tabatabai

2015

BRS

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Abstract. Deterioration of bridge decks in the UnitedStates is an important issue due to its major impact on bridge maintenance costs nationwide. In this paper, results of survival (reliability) analyses performed on bridge data for all fifty states and Puerto Rico are presented. Data were obtained from the 2011 National Bridge Inventory (NBI) database. The end of service life is defined as a recorded NBI bridge deck rating of 5. Only non-reconstructed bridges and conventional bridge types and decks were considered. The NBI-derived parameters included in the analyses were age, average daily traffic (ADT), deck surface area, and deck rating. Each state's data were analyzed separately to assess and compare relative performance among the states. Deck reliability at an age of fifty years ranges from less than 20% to over 90%. The geographic regions with the highest overall 50-year reliability are generally in the northeastern and northern United States.

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Reliability of Bridge Decks in Wisconsin

Cited by 30 publications

References 18 publications

Survival Analysis for a Breast Cancer Data Set

Survival Analysis for a Breast Cancer Data Set

Role of Metastasis in Hypertabastic Survival Analysis of Breast Cancer: Interaction with Clinical and Gene Expression Variables

Reliability of bridge decks in the United States

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