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  1. 87801
    “…Lasso regression is employed for variable selection, and Cox regression is utilized for the construction of a prediction model. …”
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    Predictive factors and clinical efficacy of Chinese medicine Shengji ointment in the treatment of diabetic foot ulcers in the elderly: a prospective study
  2. 87802
    “…Effect estimates for each variant wave were calculated using Cox proportional hazards regression models. [Figure: see text] RESULTS: Dates for national and regional variant waves varied slightly, illustrating patterns of spatiotemporal spread. …”
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    2292. Measuring Effectiveness against a Shifting Variant Landscape: COVID-19 Example in the Department of Veterans Affairs
  3. 87803
    por Lei, Jieping, Rudolph, Anja, Moysich, Kirsten B, Rafiq, Sajjad, Behrens, Sabine, Goode, Ellen L, Pharoah, Paul PD, Seibold, Petra, Fasching, Peter A, Andrulis, Irene L, Kristensen, Vessela N, Couch, Fergus J, Hamann, Ute, Hooning, Maartje J, Nevanlinna, Heli, Eilber, Ursula, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Lindblom, Annika, Mannermaa, Arto, Lambrechts, Diether, García-Closas, Montserrat, Hall, Per, Chenevix-Trench, Georgia, Shah, Mitul, Luben, Robert, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Knight, Julia A, Glendon, Gord, Tchatchou, Sandrine, Alnæs, Grethe I Grenaker, Borresen-Dale, Anne-Lise, Nord, Silje, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Torres, Diana, Ulmer, Hans-Ulrich, Rüdiger, Thomas, Jager, Agnes, van Deurzen, Carolien HM, Tilanus-Linthorst, Madeleine MA, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Margolin, Sara, Kosma, Veli-Matti, Hartikainen, Jaana M, Kataja, Vesa, Hatse, Sigrid, Wildiers, Hans, Smeets, Ann, Figueroa, Jonine, Chanock, Stephen J, Lissowska, Jolanta, Li, Jingmei, Humphreys, Keith, Phillips, Kelly-Anne, Linn, Sabine, Cornelissen, Sten, van den Broek, Sandra Alexandra J, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K, Yoo, Keun-Young, Hsiung, Chia-Ni, Wu, Pei-Ei, Hou, Ming-Feng, Shen, Chen-Yang, Teo, Soo Hwang, Taib, Nur Aishah Mohd, Yip, Cheng Har, Ho, Gwo Fuang, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tajima, Kazuo, Dunning, Alison M, Benitez, Javier, Czene, Kamila, Sucheston, Lara E, Maishman, Tom, Tapper, William J, Eccles, Diana, Easton, Douglas F, Schmidt, Marjanka K, Chang-Claude, Jenny
    Publicado 2015
    “…Overall 3,610 single nucleotide polymorphisms (SNPs) in 133 genes were genotyped as part of the Collaborative Oncological Gene-environment Study, in which phenotype and clinical data were collected and harmonized. Multivariable Cox proportional hazard regression was used to assess genetic associations with overall survival (OS) and breast cancer-specific survival (BCSS). …”
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    Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with prognosis of estrogen receptor-negative breast cancer after chemotherapy
  4. 87804
    por Beelen, Rob, Hoek, Gerard, Raaschou-Nielsen, Ole, Stafoggia, Massimo, Andersen, Zorana Jovanovic, Weinmayr, Gudrun, Hoffmann, Barbara, Wolf, Kathrin, Samoli, Evangelia, Fischer, Paul H., Nieuwenhuijsen, Mark J., Xun, Wei W., Katsouyanni, Klea, Dimakopoulou, Konstantina, Marcon, Alessandro, Vartiainen, Erkki, Lanki, Timo, Yli-Tuomi, Tarja, Oftedal, Bente, Schwarze, Per E., Nafstad, Per, De Faire, Ulf, Pedersen, Nancy L., Östenson, Claes-Göran, Fratiglioni, Laura, Penell, Johanna, Korek, Michal, Pershagen, Göran, Eriksen, Kirsten Thorup, Overvad, Kim, Sørensen, Mette, Eeftens, Marloes, Peeters, Petra H., Meliefste, Kees, Wang, Meng, Bueno-de-Mesquita, H. Bas, Sugiri, Dorothea, Krämer, Ursula, Heinrich, Joachim, de Hoogh, Kees, Key, Timothy, Peters, Annette, Hampel, Regina, Concin, Hans, Nagel, Gabriele, Jaensch, Andrea, Ineichen, Alex, Tsai, Ming-Yi, Schaffner, Emmanuel, Probst-Hensch, Nicole M., Schindler, Christian, Ragettli, Martina S., Vilier, Alice, Clavel-Chapelon, Françoise, Declercq, Christophe, Ricceri, Fulvio, Sacerdote, Carlotta, Galassi, Claudia, Migliore, Enrica, Ranzi, Andrea, Cesaroni, Giulia, Badaloni, Chiara, Forastiere, Francesco, Katsoulis, Michail, Trichopoulou, Antonia, Keuken, Menno, Jedynska, Aleksandra, Kooter, Ingeborg M., Kukkonen, Jaakko, Sokhi, Ranjeet S., Vineis, Paolo, Brunekreef, Bert
    Publicado 2015
    “…Cohort-specific statistical analyses of the associations between mortality and air pollution were conducted using Cox proportional hazards models using a common protocol followed by meta-analysis. …”
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    Natural-Cause Mortality and Long-Term Exposure to Particle Components: An Analysis of 19 European Cohorts within the Multi-Center ESCAPE Project
  5. 87805
    por Jacobs, Ian J, Menon, Usha, Ryan, Andy, Gentry-Maharaj, Aleksandra, Burnell, Matthew, Kalsi, Jatinderpal K, Amso, Nazar N, Apostolidou, Sophia, Benjamin, Elizabeth, Cruickshank, Derek, Crump, Danielle N, Davies, Susan K, Dawnay, Anne, Dobbs, Stephen, Fletcher, Gwendolen, Ford, Jeremy, Godfrey, Keith, Gunu, Richard, Habib, Mariam, Hallett, Rachel, Herod, Jonathan, Jenkins, Howard, Karpinskyj, Chloe, Leeson, Simon, Lewis, Sara J, Liston, William R, Lopes, Alberto, Mould, Tim, Murdoch, John, Oram, David, Rabideau, Dustin J, Reynolds, Karina, Scott, Ian, Seif, Mourad W, Sharma, Aarti, Singh, Naveena, Taylor, Julie, Warburton, Fiona, Widschwendter, Martin, Williamson, Karin, Woolas, Robert, Fallowfield, Lesley, McGuire, Alistair J, Campbell, Stuart, Parmar, Mahesh, Skates, Steven J
    Publicado 2016
    “…The primary analysis using a Cox proportional hazards model gave a mortality reduction over years 0–14 of 15% (95% CI −3 to 30; p=0·10) with MMS and 11% (−7 to 27; p=0·21) with USS. …”
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    Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial
  6. 87806
    por Peters, Sanne A. E., Yang, Ling, Guo, Yu, Chen, Yiping, Bian, Zheng, Du, Jianwei, Yang, Jie, Li, Shanpeng, Li, Liming, Woodward, Mark, Chen, Zhengming, Chen, Junshi, Collins, Rory, Peto, Richard, Bennett, Derrick, Chang, Yumei, Clarke, Robert, Du, Huaidong, Fan, Xuejuan, Gilbert, Simon, Hacker, Alex, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, McDonnell, John, Millwood, Iona, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Rafiq, Sajjad, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Turnbull, Iain, Walters, Robin, Wang, Jenny, Wang, Lin, Yang, Xiaoming, Chen, Ge, Han, Bingyang, Hou, Can, Lv, Jun, Pei, Pei, Qu, Shuzhen, Tan, Yunlong, Yu, Canqing, Zhou, Huiyan, Pang, Zengchang, Gao, Ruqin, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Lv, Silu, Wang, Junzheng, Hou, Wei, Yin, Jiyuan, Jiang, Ge, Liu, Shumei, Pang, Zhigang, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Mu, Huaiyi, Xu, Qinai, Dou, Meiling, Ren, Jiaojiao, Wang, Shanqing, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Dong, Hua, Weng, Min, Zheng, Xiangyang, Li, Yijun, Li, Huimei, Li, Chenglong, Wu, Ming, Zhou, Jinyi, Tao, Ran, Shen, Jie, Hu, Yihe, Lu, Yan, Gao, Yan, Ma, Liangcai, Zhou, Renxian, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Qing, Jingxin, Zhang, Weiyuan, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Yang, Jun, Guan, Hairong, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Tang, Xuefeng, Luo, Guojin, Li, Jianguo, Chen, Xiaofang, Wang, Jian, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Liu, Guohua, Zhu, Baoyu, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Jiang, Li, Sun, Huarong, He, Pan, Hu, Chen, Lv, Qiannan, Zhang, Xukui, Yu, Min, Hu, Ruying, Fang, Le, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixue, Chen, Lingli, Pan, Yaxing, Pan, Dongxia, Huang, Yuelong, Chen, Biyun, Jin, Donghui, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, g, Youping, Jia, Weifang, Li, Xianzhi, Zhang, Libo, Qiu, Zhe
    Publicado 2017
    “…During 8 years of follow‐up, 16 671 incident cases of coronary heart disease and 23 983 cases of stroke were recorded among 289 573 women without prior CVD at baseline. Cox regression yielded adjusted hazard ratios (HRs) and 95% CIs for incident CVD by breastfeeding. …”
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    Breastfeeding and the Risk of Maternal Cardiovascular Disease: A Prospective Study of 300 000 Chinese Women
  7. 87807
    “…Implant survival rates in the non-ARMD group were calculated for each specific revision indication with each individual non-ARMD indication subsequently compared with the implant survival rate in the ARMD group using Cox regression analyses. RESULTS: There was no difference between the ARMD and non-ARMD MoMHR revisions in terms of intraoperative complications (odds ratio, 0.97; 95% confidence interval [CI], 0.59-1.59; p = 0.900). …”
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    Outcomes After Metal-on-metal Hip Revision Surgery Depend on the Reason for Failure: A Propensity Score-matched Study
  8. 87808
    “…We calculated the cumulative incidences of diabetes mellitus (DM) after transplantation. Cox proportional hazards model with competing risk analysis was used to calculate the hazard ratio (HR) and 95% confidence intervals (CI) between three targeted groups (DM, PTDM, non-DM). …”
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    Temporal trends of incident diabetes mellitus and subsequent outcomes in patients receiving kidney transplantation: a national cohort study in Taiwan
  9. 87809
    “…We measured IUC discontinuation rates with Kaplan-Meier estimates and Cox proportional hazards models. We enrolled 71 non-ART (36 LNG-IUS, 31 C-IUD; 2 declined and 2 were ineligible) and 134 ART-using (65 LNG-IUS, 67 C-IUD; 1 declined and 1 could not complete IUC insertion) women. …”
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    Safety and continued use of the levonorgestrel intrauterine system as compared with the copper intrauterine device among women living with HIV in South Africa: A randomized controlled trial
  10. 87810
    “…MAIN OUTCOMES AND MEASURES: Risk of hospitalization, mechanical ventilation, and death were estimated in time-to-event analyses using Cox proportional hazards models. RESULTS: The 10 131 veterans with SARS-CoV-2 were predominantly male (9221 [91.0%]), with diverse race/ethnicity (5022 [49.6%] White, 4215 [41.6%] Black, and 944 [9.3%] Hispanic) and a mean (SD) age of 63.6 (16.2) years. …”
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    Risk Factors for Hospitalization, Mechanical Ventilation, or Death Among 10 131 US Veterans With SARS-CoV-2 Infection
  11. 87811
    “…Hazard ratios (HRs) were estimated with Cox proportional hazards regression models and adjusted for relevant confounding variables. …”
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    Assessment of Outcomes Among Patients With Venous Thromboembolism With and Without Chronic Kidney Disease
  12. 87812
    por Hossain, Mohammad S., Commons, Robert J., Douglas, Nicholas M., Thriemer, Kamala, Alemayehu, Bereket H., Amaratunga, Chanaki, Anvikar, Anupkumar R., Ashley, Elizabeth A., Asih, Puji B. S., Carrara, Verena I., Lon, Chanthap, D’Alessandro, Umberto, Davis, Timothy M. E., Dondorp, Arjen M., Edstein, Michael D., Fairhurst, Rick M., Ferreira, Marcelo U., Hwang, Jimee, Janssens, Bart, Karunajeewa, Harin, Kiechel, Jean R., Ladeia-Andrade, Simone, Laman, Moses, Mayxay, Mayfong, McGready, Rose, Moore, Brioni R., Mueller, Ivo, Newton, Paul N., Thuy-Nhien, Nguyen T., Noedl, Harald, Nosten, Francois, Phyo, Aung P., Poespoprodjo, Jeanne R., Saunders, David L., Smithuis, Frank, Spring, Michele D., Stepniewska, Kasia, Suon, Seila, Suputtamongkol, Yupin, Syafruddin, Din, Tran, Hien T., Valecha, Neena, Van Herp, Michel, Van Vugt, Michele, White, Nicholas J., Guerin, Philippe J., Simpson, Julie A., Price, Ric N.
    Publicado 2020
    “…The risk of P. vivax parasitaemia at days 42 and 63 and associated risk factors were investigated by multivariable Cox regression analyses. Study quality was assessed using a tool developed by the Joanna Briggs Institute. …”
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    The risk of Plasmodium vivax parasitaemia after P. falciparum malaria: An individual patient data meta-analysis from the WorldWide Antimalarial Resistance Network
  13. 87813
    “…MAIN OUTCOMES AND MEASURES: Incident MI, defined as adjudicated nonfatal or fatal MI, and incident CHD, defined as adjudicated nonfatal MI, fatal MI, coronary revascularization procedures, or death due to CHD. Cox proportional hazards regression models were used to estimate the hazard ratio for incident MI or CHD comparing SCT carriers with noncarriers. …”
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    Association of Sickle Cell Trait With Incidence of Coronary Heart Disease Among African American Individuals
  14. 87814
    “…The risk of relapse in breast cancer was estimated as crude hazard ratios (HRs) and 95% CI using Cox proportional hazards models in the primary and secondary analyses where T- and N-stages were known: otherwise the risks of relapse were only given descriptively. …”
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    Gonadotrophin stimulation and risk of relapse in breast cancer
  15. 87815
    “…We estimated the incidence of 14 neurological and psychiatric outcomes in the 6 months after a confirmed diagnosis of COVID-19: intracranial haemorrhage; ischaemic stroke; parkinsonism; Guillain-Barré syndrome; nerve, nerve root, and plexus disorders; myoneural junction and muscle disease; encephalitis; dementia; psychotic, mood, and anxiety disorders (grouped and separately); substance use disorder; and insomnia. Using a Cox model, we compared incidences with those in propensity score-matched cohorts of patients with influenza or other respiratory tract infections. …”
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    6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records
  16. 87816
    “…The fecundity rate (FR) and 95% confidence interval for the time to first childbirth that were conceived spontaneously were calculated using Cox proportional hazards regression models, with adjustment for obesity, birth year, country of birth and education level. …”
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    Early initiation of anti-androgen treatment is associated with increased probability of spontaneous conception leading to childbirth in women with polycystic ovary syndrome: a population-based multiregistry cohort study in Sweden
  17. 87817
    “…The exposure was self-reported ethnicity as captured on the primary care record, grouped into five high-level census categories (White, South Asian, Black, other, and mixed) and 16 subcategories across these five categories, as well as an unknown ethnicity category. We used multivariable Cox regression to examine ethnic differences in the outcomes of interest. …”
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    Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform
  18. 87818
    “…The presence of ENE had significant statistical correlations with nodal burden, including N stage, median metastatic tumor diameter and peri-lymph node vascular invasion (p < 0.001, p < 0.001, p = 0.001, respectively). Cox regression analysis demonstrated that patients with ENE exhibited significantly reduced DRFS in both univariable analysis (HR 2.126, 95% CI 1.453–3.112, p < 0.001) and multivariable analysis (HR 1.745, 95% CI 1.152–2.642, p = 0.009) compared with patients without ENE. …”
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    Prognostic value of extranodal extension in axillary lymph node-positive breast cancer
  19. 87819
    “…L’exposition était définie par la prescription d’inhibiteurs de l’enzyme de conversion ou antagonistes des récepteurs de l’angiotensine II avant hospitalisation. Des modèles de Cox avec pondérations basées sur le score de propension ont permis d’estimer des hazard ratios (HR) de mortalité à 30 jours du diagnostic de COVID-19 chez les sujets exposés aux ISRA par rapport aux non exposés. …”
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    Les inhibiteurs du système rénine-angiotensine et la mortalité par COVID-19 : une cohorte prospective de 1160 patients hypertendus, et revue de littérature
  20. 87820
    “…Pour les deux derniers critères, le calcul requiert de préciser le R(2) de Cox–Snell qui, en l’absence d’éléments probants dans la littérature, peut être déterminé en faisant une hypothèse sur le niveau de performance attendu du modèle de prédiction en termes de pourcentage de la variation totale observée dans les données expliqué par le modèle. …”
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    Calcul de taille d’étude pour le développement d’un modèle de prédiction d’une aggravation d’une forme légère de COVID-19
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