1. Sarvi F, Momenian S, Khodadost M, Pahlavanzadeh B, Nasehi M, Sekhavati E. The examination of relationship between socioeconomic factors and number of tuberculosis using quantile regression model for count data in Iran 2010-2011. Med J Islam Repub Iran 2016;30:399. PMID:
27579289
2. Dolla CK, Dhanraj B, Malaisamy M, Padma Priyadarshini C, Syeed Hissar S, Natrajan M, et al. Burden of pulmonary tuberculosis in modern prison: a cross sectional prevalence survey from south India. Indian J Tuberc 2019;66:189-192. PMID:
30878067
4. Olaru ID, Albert H, Zallet J, Werner UE, Ahmed N, Rieder HL, et al. Impact of quality improvement in tuberculosis laboratories in low- and lower-middle-income countries: a systematic review. Int J Tuberc Lung Dis 2018;22:309-320. PMID:
29471910
6. de Vries G, Aldridge RW, Cayla JA, Haas WH, Sandgren A, van Hest NA, et al. Epidemiology of tuberculosis in big cities of the European Union and European Economic Area countries. Euro Surveill 2014;19:20726. PMID:
24626208
7. Yasseen AS, Rea E, Hirji MM, Yang C, Alvarez GG, Khan K, et al. Paediatric tuberculosis among the foreign-born: utility of the Canadian TB immigration medical surveillance programme. Int J Tuberc Lung Dis 2019;23:105-111. PMID:
30674382
8. Prats-Uribe A, Orcau A, Millet JP, Caylà JA. Impact of socio-economic inequities on tuberculosis in a Southern European city: what is the effect of the recession? Int J Tuberc Lung Dis 2019;23:45-51. PMID:
30572982
9. Yunusbaeva M, Borodina L, Alekseev P, Davydov R, Yunusbaev U, Sharipov R, et al. Treatment efficacy of drug-resistant tuberculosis in Bashkortostan, Russia: a retrospective cohort study. Int J Infect Dis 2019;81:203-209. PMID:
30794942
10. Dianatinasab M, Joulaei H, Ghorbani M, Zarei N, Rezaeian S, Fararouei M, et al. Prevalence of tuberculosis in HIV-positive prisoners: a systematic review and meta-analysis. AIDS Rev 2018;20:114-124. PMID:
29938705
17. Moghimbeigi A, Eshraghian MR, Mohammad K, McArdle B. A score test for zero-inflation in multilevel count data. Comput Stat Data Anal 2009;53:1239-1248.
18. Moghimbeigi A. A score test for extra zeros in negative binomial mixed models. J Stat Comput Simul 2011;81:635-644.
19. Kong M, Xu S, Levy SM, Datta S. GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries. Comput Stat Data Anal 2015;85:54-66. PMID:
25620827
20. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986;73:13-22.
21. Kliiman K, Altraja A. Predictors and mortality associated with treatment default in pulmonary tuberculosis. Int J Tuberc Lung Dis 2010;14:454-463. PMID:
20202304
22. Kourbatova EV, Borodulin BE, Borodulina EA, del Rio C, Blumberg HM, Leonard MK Jr. Risk factors for mortality among adult patients with newly diagnosed tuberculosis in Samara, Russia. Int J Tuberc Lung Dis 2006;10:1224-1230. PMID:
17131780
23. de Faria Gomes NM, da Mota Bastos MC, Marins RM, Barbosa AA, Soares LC, de Oliveira Wilken de Abreu AM, et al. Differences between risk factors associated with tuberculosis treatment abandonment and mortality. Pulm Med 2015;2015:546106. PMID:
26600948
26. Li T, He XX, Chang ZR, Ren YH, Zhou JY, Ju LR, et al. Impact of new migrant populations on the spatial distribution of tuberculosis in Beijing. Int J Tuberc Lung Dis 2011;15:163-168. PMID:
21219675
32. Romanowski K, Clark EG, Levin A, Cook VJ, Johnston JC. Tuberculosis and chronic kidney disease: an emerging global syndemic. Kidney Int 2016;90:34-40. PMID:
27178832
38. Sarvi F, Moghimbeigi A, Mahjub H. GEE-based zero-inflated generalized Poisson model for clustered over or under-dispersed count data. J Stat Comput Simul 2019;89:1-22.