Optimal generalized case-cohort analysis with Cox’s proportional hazards model

2015 ◽  
Vol 31 (3) ◽  
pp. 841-854 ◽  
Author(s):  
Yong-Xiu Cao ◽  
Ji-Chang Yu ◽  
Yan-Yan Liu
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Prayuth Sudathip ◽  
Suravadee Kitchakarn ◽  
Jui A. Shah ◽  
Donal Bisanzio ◽  
Felicity Young ◽  
...  

Abstract Background Thailand’s success in reducing malaria burden is built on the efficient “1-3-7” strategy applied to the surveillance system. The strategy is based on rapid case notification within 1 day, case investigation within 3 days, and targeted foci response to reduce the spread of Plasmodium spp. within 7 days. Autochthonous transmission is still occurring in the country, threatening the goal of reaching malaria-free status by 2024. This study aimed to assess the effectiveness of the 1-3-7 strategy and identify factors associated with presence of active foci. Methods Data from the national malaria information system were extracted from fiscal years 2013 to 2019; after data cleaning, the final dataset included 81,012 foci. A Cox’s proportional hazards model was built to investigate factors linked with the probability of becoming an active focus from 2015 to 2019 among foci that changed status from non-active to active focus during the study period. We performed a model selection technique based on the Akaike Information Criteria (AIC). Results The number of yearly active foci decreased from 2227 to 2013 to 700 in 2019 (68.5 %), and the number of autochthonous cases declined from 17,553 to 3,787 (78.4 %). The best Cox’s hazard model showed that foci in which vector control interventions were required were 18 % more likely to become an active focus. Increasing compliance with the 1-3-7 strategy had a protective effect, with a 22 % risk reduction among foci with over 80 % adherence to 1-3-7 timeliness protocols. Other factors associated with likelihood to become or remain an active focus include previous classification as an active focus, presence of Plasmodium falciparum infections, level of forest disturbance, and location in border provinces. Conclusions These results identified factors that favored regression of non-active foci to active foci during the study period. The model and relative risk map align with the national malaria program’s district stratification and shows strong spatial heterogeneity, with high probability to record active foci in border provinces. The results of the study may be useful for honing Thailand’s program to eliminate malaria and for other countries aiming to accelerate malaria elimination.


2021 ◽  
pp. 096228022110092
Author(s):  
Mingyue Du ◽  
Hui Zhao ◽  
Jianguo Sun

Cox’s proportional hazards model is the most commonly used model for regression analysis of failure time data and some methods have been developed for its variable selection under different situations. In this paper, we consider a general type of failure time data, case K interval-censored data, that include all of other types discussed as special cases, and propose a unified penalized variable selection procedure. In addition to its generality, another significant feature of the proposed approach is that unlike all of the existing variable selection methods for failure time data, the proposed approach allows dependent censoring, which can occur quite often and could lead to biased or misleading conclusions if not taken into account. For the implementation, a coordinate descent algorithm is developed and the oracle property of the proposed method is established. The numerical studies indicate that the proposed approach works well for practical situations and it is applied to a set of real data arising from Alzheimer’s Disease Neuroimaging Initiative study that motivated this study.


2019 ◽  
Vol 37 (07) ◽  
pp. 689-694
Author(s):  
Anucha Thatrimontrichai ◽  
Nutchana Premprat ◽  
Waricha Janjindamai ◽  
Supaporn Dissaneevate ◽  
Gunlawadee Maneenil

Objective Multidrug-resistant gram-negative bacilli (MDR-GNB) have emerged globally as a serious threat and with a high case fatality rate (CFR). Study Design We performed a case–control study in a Thai neonatal intensive care unit to identify the risk factors for 30-day CFR of GNB sepsis between 1991 and 2017. The CFR was analyzed by Cox's proportional hazards model. Results For 27 years, the percentage of MDR-GNB from GNB sepsis was 66% (169/257). The medians (interquartile ranges) of gestational age and birth weight of the neonates with GNB sepsis were 33 (29–38) weeks and 1,817 (1,100–2,800) grams, respectively. The 30-day CFRs of the neonates with MDR-GNB and non-MDR-GNB sepsis were 33% (56/169) and 20% (18/88), respectively, (hazard ratio [HR] = 1.74; 95% confidence interval [CI]: 1.03–2.97; p = 0.04). Using Cox's proportional hazards model, nonsurvivors in GNB sepsis were more likely to have septic shock (adjusted HR [aHR] = 6.67; 95% CI: 3.28–13.57; p < 0.001) or no microbiological cure (aHR = 10.65; 95% CI: 4.98–22.76; p < 0.001) than survivors. Conclusion Neonates suspected of sepsis with septic shock need broad-spectrum empirical antimicrobial therapy until the second successive negative culture, especially in high MDR areas.


Sign in / Sign up

Export Citation Format

Share Document