Relevant bibliographies by topics / Survival data analysi

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Survival data analysi'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Survival data analysi"

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Tsaniya, Ulya, Triastuti Wuryandari, and Dwi Ispriyanti. "ANALISIS SURVIVAL PADA DATA KEJADIAN BERULANG MENGGUNAKAN PENDEKATAN COUNTING PROCESS." Jurnal Gaussian 11, no. 3 (2022): 377–85. http://dx.doi.org/10.14710/j.gauss.11.3.377-385.

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Asthma is a disorder that attacks the respiratory tract and causes bronchial hyperactivity to various stimuli characterized by recurrent episodic symptoms such as wheezing, coughing, shortness of breath, and heaviness in the chest. Asthma sufferers will experience exacerbations, namely episodes of asthma recurrence which gradually worsens progressively accompanied by the same symptoms. The length of time a person experiences an exacerbation can be influenced by various factors. To analyze this, the Cox regression model can be used which is within the scope of survival analysis where time is th
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N.Sundaram, N. Sundaram, and P. Venkatesan P.Venkatesan. "Modeling of Parametric Bayesian Cure Rate Survival for Pulmonary Tuberculosis Data Analysis." International Journal of Scientific Research 3, no. 6 (2012): 35–49. http://dx.doi.org/10.15373/22778179/june2014/171.

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V. Vallinayagam, V. Vallinayagam, S. Parthasarathy S. Parthasarathy, and P. Venkatesan P. Venkatesan. "A Comparative Study of Life Time Models in the Analysis of Survival Data." Indian Journal of Applied Research 4, no. 1 (2011): 344–47. http://dx.doi.org/10.15373/2249555x/jan2014/101.

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Coa Clemente, Ramiro. "¿CUÁL ES EL MODELO MÁS APROPIADO PARA ANALIZAR DATOS DE SOBREVIVENCIA INFANTIL EN BOLIVIA?" Varianza 21, no. 21 (2023): 1–13. http://dx.doi.org/10.53287/skjt1649td12r.

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El objetivo principal de este estudio es determinar cuál es el modelo más apropiado para analizar datos de sobrevivencia infantil en Bolivia. Además del modelo semiparamétrico de riesgos proporcionales de Cox, se evalúan tres modelos paramétricos: exponencial, Weibull y gamma generalizado. Para abordar el objetivo se comparan tres resultados: los coeficientes estimados a partir de los distintos modelos, la significancia de las covariables en términos del valor-p y el criterio de información de Akaike (AIC). Se concluye que el modelo Weibull es más apropiado que el modelo de Cox para analizar d
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Vissani, Francesco. "Joint analysis of Borexino and SNO solar neutrino data and reconstruction of the survival probability." Nuclear Physics and Atomic Energy 18, no. 4 (2017): 303–12. http://dx.doi.org/10.15407/jnpae2017.04.303.

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Asakura, Koko, and Toshimitsu Hamasaki. "Analysis of survival data." Drug Delivery System 30, no. 5 (2015): 474–84. http://dx.doi.org/10.2745/dds.30.474.

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Breslow, N., D. R. Cox, and D. Oakes. "Analysis of Survival Data." Biometrics 41, no. 2 (1985): 593. http://dx.doi.org/10.2307/2530888.

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Jayet, H., and A. Moreau. "Analysis of survival data." Journal of Econometrics 48, no. 1-2 (1991): 263–85. http://dx.doi.org/10.1016/0304-4076(91)90041-b.

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Lagakos, S. "Analysis of survival data." Controlled Clinical Trials 7, no. 1 (1986): 85. http://dx.doi.org/10.1016/0197-2456(86)90009-7.

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Schoenfeld, David, D. R. Cox, and D. Oakes. "Analysis of Survival Data." Journal of the American Statistical Association 81, no. 394 (1986): 572. http://dx.doi.org/10.2307/2289259.

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Dissertations / Theses on the topic "Survival data analysi"

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LIU, XIAOQIU. "Managing Cardiovascular Risk in Hypertension: Methodological Issues in Blood Pressure Data Analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/154475.

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Hypertension remains in 2017 a leading cause of mortality and disability worldwide. A number of issues related to the determinants of cardiovascular risk in hypertensive patients and to the strategies for better hypertension control are still pending. In such a context, aims of my research program were: 1. To investigate the contribution of blood pressure variability to the risk of cardiovascular mortality in hypertensive patients. In this setting, different methods for assessing blood pressure variability and different models exploring the link between blood pressure variability and outcome
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TASSISTRO, ELENA. "Adverse events in survival data: from clinical questions to methods for statistical analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365520.

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Nello studio di un nuovo trattamento con un tempo di sopravvivenza come outcome, l’insuccesso può essere definito in modo da includere un evento avverso serio (AE) tra gli endpoint tipicamente considerati, come ad esempio ricaduta o progressione. Questi eventi si comportano come rischi competitivi, dove l’occorrenza di una ricaduta come primo evento e il conseguente cambio di trattamento escludono la possibilità di osservare AE legati al trattamento stesso. L’analisi degli AE può essere affrontata mediante due diversi approcci: 1. descrizione dell’occorrenza osservata di AE come primo evento:
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Bruno, Rexanne Marie. "Statistical Analysis of Survival Data." UNF Digital Commons, 1994. http://digitalcommons.unf.edu/etd/150.

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The terminology and ideas involved in the statistical analysis of survival data are explained including the survival function, the probability density function, the hazard function, censored observations, parametric and nonparametric estimations of these functions, the product limit estimation of the survival function, and the proportional hazards estimation of the hazard function with explanatory variables. In Appendix A these ideas are applied to the actual analysis of the survival data for 54 cervical cancer patients.
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Fontenelle, OtÃvio Fernandes. "Survival Analysis; Micro and Small Enterprises; Modeling Survival Data, Data Characterization Survival; parametric Estimator KAPLAN-MEIER." Universidade Federal do CearÃ, 2009. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=4173.

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nÃo hÃ<br>The main objective of this research is to explore economics issues that may induce impact on lifetime of small businesses during 2002 to 2006. The group of enterprises studied was selected from database of taxpayers recorded at fiscal authority of State of CearÃ. To do that, the methodology was focused on a branch of statistics which deals with survival analysis, called duration analysis or duration modeling in economics. It was applied non-linear model whose non-parametric estimator chosen was KAPLAN-MEIER. Through that methodology, it was developed sceneries based on the following
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葉英傑 and Ying-Kit David Ip. "Analysis of clustered grouped survival data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226127.

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Ip, Ying-Kit David. "Analysis of clustered grouped survival data /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2353011x.

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Lee, Yau-wing. "Modelling multivariate survival data using semiparametric models." Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B4257528X.

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Nhogue, Wabo Blanche Nadege. "Hedge Funds and Survival Analysis." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/26257.

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Using data from Hedge Fund Research, Inc. (HFR), this study adapts and expands on existing methods in survival analysis in an attempt to investigate whether hedge funds mortality can be predicted on the basis of certain hedge funds characteristics. The main idea is to determine the characteristics which contribute the most to the survival and failure probabilities of hedge funds and interpret them. We establish hazard models with time-independent covariates, as well as time-varying covariates to interpret the selected hedge funds characteristics. Our results show that size, age, performance, s
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Frévent, Camille. "Contribution to spatial statistics for high-dimensional and survival data." Electronic Thesis or Diss., Université de Lille (2022-....), 2022. http://www.theses.fr/2022ULILS032.

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Dans ce mémoire de thèse nous nous intéressons aux méthodes d'apprentissage statistique pour données spatiales en grande dimension et données de survie. L'objectif est de développer des méthodes de détection de clusters non supervisées avec des statistiques de scan spatiales, à la fois dans le cadre de l'analyse de données fonctionnelles, mais aussi pour l'analyse de données de survie. Nous considérons tout d'abord des données fonctionnelles univariées ou multivariées mesurées spatialement dans une région géographique. Nous proposons des statistiques de scan paramétriques et non paramétriques
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Kulich, Michal. "Additive hazards regression with incomplete covariate data /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/9562.

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Books on the topic "Survival data analysi"

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Cox, D. R. Analysis of survival data. Chapman and Hall, 1990.

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Hougaard, Philip. Analysis of Multivariate Survival Data. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1304-8.

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Elandt-Johnson, Regina C., and Norman L. Johnson. Survival Models and Data Analysis. John Wiley & Sons, Inc., 1999. http://dx.doi.org/10.1002/9781119011040.

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Elandt-Johnson, Regina C. Survival models and data analysis. Wiley, 1999.

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Lee, Elisa T., and John Wenyu Wang. Statistical Methods for Survival Data Analysis. John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471458546.

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Wenyu, Wang John, ed. Statistical methods for survival data analysis. 3rd ed. J. Wiley, 2003.

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Murphy, Roberta. Survival analysis of nurse manpower data. The Author], 1997.

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Hanagal, David D. Modeling survival data using frailty models. Chapman & Hall/CRC, 2011.

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L, Moeschberger Melvin, ed. Survival analysis: Techniques for censored and truncated data. Springer, 1997.

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L, Moeschberger Melvin, ed. Survival analysis: Techniques for censored and truncated data. 2nd ed. Springer, 2003.

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Book chapters on the topic "Survival data analysi"

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Nokeri, Tshepo Chris. "Survival Analysis." In Data Science Revealed. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6870-4_11.

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Tattar, Prabhanjan Narayanachar, and H. J. Vaman. "Lifetime Data and Concepts." In Survival Analysis. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003306979-1.

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DeMaris, Alfred, and Steven H. Selman. "Survival Analysis." In Converting Data into Evidence. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7792-1_8.

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Collett, D. "Survival analysis." In Modelling Survival Data in Medical Research. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3115-3_1.

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Collett, David. "Survival analysis." In Modelling Survival Data in Medical Research, 4th ed. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003282525-1.

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Ibrahim, Joseph G., Ming-Hui Chen, and Debajyoti Sinha. "Missing Covariate Data." In Bayesian Survival Analysis. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3447-8_8.

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Bhattacharjee, Atanu. "Survival Analysis." In Big Data Analytics in Oncology with R. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003185598-1.

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Emmert-Streib, Frank, Salissou Moutari, and Matthias Dehmer. "Survival Analysis." In Elements of Data Science, Machine Learning, and Artificial Intelligence Using R. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-13339-8_16.

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Everitt, Brian, and Sophia Rabe-Hesketh. "Survival Analysis I." In Analyzing Medical Data Using S-PLUS. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3285-6_17.

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Collett, David. "Bayesian survival analysis." In Modelling Survival Data in Medical Research, 4th ed. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003282525-16.

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Conference papers on the topic "Survival data analysi"

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Tang, Tianchong. "Survival Analysis of the Titanic Using Random Forests." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013510300004619.

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Huang, Chutong. "The Prediction and Feature Importance Investigation in Titanic Survival Prediction." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013487400004619.

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Tjandra, Donna, and Jenna Wiens. "Survival Analysis with Multiple Noisy Labels." In 2024 IEEE International Conference on Data Mining (ICDM). IEEE, 2024. https://doi.org/10.1109/icdm59182.2024.00106.

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Li, Mengke, Chenyang Wu, Xiaole Zuo, Lanlan Cheng, and Jingzhuo Zhang. "Multi-Modal Data Fusion Algorithm for Cancer Survival Analysis." In 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, 2024. http://dx.doi.org/10.1109/icecet61485.2024.10698739.

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Rustagi, Mitanshi, Meenu, Neha Goel, Akshat Agrawal, Arpita Soni, and Parth Vijrania. "Data Reliability and Survival Analysis for Breast Cancer Patients Using Real Data." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00067.

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Mosquéra, Júlia Milhomem, Amanda Ribeiro Alves, Gianna Carolina Pereira Cavalli, Larissa Feitosa de Albuquerque Lima Ramos, and Flávio Lúcio Vasconcelos. "GLOBAL SURVIVAL BASED ON CLINICAL, HISTOLOGICAL, AND BIOLOGICAL TUMOR CRITERIA IN A SECONDARY PUBLIC BRAZILIAN HOSPITAL." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2045.

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Objective: To analyze the overall survival of women with breast cancer based on clinical, histological, and biological tumor data in a secondary hospital in Federal District/Brazil. Method: Retrospective cohort study of women diagnosed with breast cancer from 2012 to 2019, followed up until December 2020, having its data analyzed in 2021. The population studied was from the area covered of the Regional Hospital of Santa Maria (Brasília/Distrito Federal/Brazil), a secondary service, linked to the Brazilian Unified Health System. The information analyzed in this study were state at the last visi
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Wang, Lu, Yan Li, Jiayu Zhou, Dongxiao Zhu, and Jieping Ye. "Multi-task Survival Analysis." In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017. http://dx.doi.org/10.1109/icdm.2017.58.

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Lord, Laurel, John Sell, Feyzi Bagirov, and Mark Newman. "Survival Analysis within Stack Overflow: Python and R." In 2018 4th International Conference on Big Data Innovations and Applications (Innovate-Data). IEEE, 2018. http://dx.doi.org/10.1109/innovate-data.2018.00015.

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Luo, Jinyuan, Zikai Xiao, Wen Shi, et al. "CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis." In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023. http://dx.doi.org/10.1109/icdm58522.2023.00055.

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Bagkavos, Dimitrios I., Aglaia Kalamatianou, and Dimitrios Ioannides. "Kernel based confidence intervals for survival function estimation." In Recent Advances in Stochastic Modeling and Data Analysis. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812709691_0040.

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Reports on the topic "Survival data analysi"

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McKeague, Ian W., and Mei-Jie Zhang. On the Analysis of Grouped Survival Data Using Cumulative Occurrence/Exposure Rates. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada238219.

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Smith, Steven G., John R. Skalski, and J. Warren Schelechte. Statistical Survival Analysis of Fish and Wildlife Tagging Studies; SURPH.1 Manual - Analysis of Release-Recapture Data for Survival Studies, 1994 Technical Manual. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/654053.

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Zhang, Dan, Jingting Liu, Mengxia zheng, Chunyan Meng, and Jianhua Liao. Prognostic and Clinicopathological significance of CD155 Expression in Cancer Patients: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0087.

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Review question / Objective: The present study aimed to comprehensively explore the relationship between CD155 expression and clinical characteristics and prognosis of cancer patients. The study was based on comprehensive search of relevant literature. In particular, the study attempted to define the role of CD155 in various cancer types. Eligibility criteria: The pre-established inclusion criteria were as follows: (1) all subjects were cancer patients who received standard treatment; (2) The expression of CD155 in the cancer patients was well-examined, and all patients were assigned into two
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Kimura, Fukunari, and Takamune Fujii. Globalizing Activities and the Rate of Survival: Panel Data Analysis on Japanese Firms. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w10067.

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Yang, Jianguo, Fuyu Zhao, Xinpeng Zhou, et al. Survival and prognosis analysis of systemic lupus erythematosus-pulmonary hypertension: a protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.4.0017.

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Review question / Objective: The study aimed to evaluate survival rates and prognosis in systemic lupus erythematosus (SLE) patients with pulmonary hypertension (PH) using meta-analysis. (P: patients with SLE-PH; I: No intervention; C: No comparator; O: survival and prognosis; S: meta-analysis). Condition being studied: Pulmonary hypertension (PH) is a life-threatening condition characterized by elevated pulmonary arteries pressure due to increased pulmonary vascular resistance1. Symptoms of PH are nonspecific but typically include exertional dyspnea and fatigue. Systemic lupus erythematosus (
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Navarro, Lucas. Entrepreneurship Policy and Firm Performance: Chile's CORFO Seed Capital Program. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0008445.

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This paper uses administrative data from projects for which an application was made to CORFO's (Chile's main development agency) Seed Capital Program (SCP) during the 2008-12 period. This paper analyzes the impact of the program, which is a subsidy provided to new, innovative firms, on Start, Growth, and Survival. The projects are supported by sponsors in the application process. Results of our analysis indicate that, controlling for observed characteristics, projects that received the subsidy had a 9.5 percentage point higher probability of starting to sell. Among created firms, subsidized (T
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Zhu, Yi-Bing, Yan Yao, Yuan Xu, and Hui-Bin Huang. Nitrogen balance and Outcomes in Critically Ill Patients: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0134.

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Review question / Objective: This study aimed to evaluate the impact of Nitrogen balance (NB) on prognosis in such a patient population. Condition being studied: Nitrogen balance and Outcomes in Critically Ill Patients. Eligibility criteria: 1) The study focused on the association between NB level and the mortality risk in adult (≥18 years old) patients; 2) The outcome data included any reporting form of survival data that could be extracted; and 3) The study design was limited to cohort, case-control, or RCT design.
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Zhao, Binghao, Yu Wang, and Wenbin Ma. Comparative Efficacy and Safety of Therapeutics for Elderly Glioblastoma: a Bayesian Network Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.3.0094.

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Review question / Objective: At this time, a comprehensive systematic review and network meta-analysis (NMA) was conducted to: (1) fill the research gap by giving rankings on treatment efficacy; (2) provide statistical evidence of not head-to-head comparisons; (3) seek out the best and up-to-date therapeutic strategy reported in latest RCTs; (4) address potential adverse events (AEs) of available treatments. Condition being studied: The incidence of glioblastoma (GBM) increases with age, until now, there has been less evidence on the optimal treatments for elderly GBM since only general GBM po
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Chen, Xiaole, Peng Wang, Yunquan Luo, et al. Therapeutic Efficacy Evaluation and Underlying Mechanisms Prediction of Jianpi Liqi Decoction for Hepatocellular Carcinoma. Science Repository, 2021. http://dx.doi.org/10.31487/j.jso.2021.02.04.sup.

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Objective: The aim of this study was to assess the therapeutic effects of Jianpi Liqi decoction (JPLQD) in hepatocellular carcinoma (HCC) and explore its underlying mechanisms. Methods: The characteristics and outcomes of HCC patients with intermediate stage B who underwent sequential conventional transcatheter arterial chemoembolization (cTACE) and radiofrequency ablation (RFA) only or in conjunction with JPLQD were analysed retrospectively. The plasma proteins were screened using label-free quantitative proteomics analysis. The effective mechanisms of JPLQD were predicted through network pha
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Kuo, Meng-Hsuan, Chih-Wei Tseng, Ching-Sheng Hsu, Yen-Chun Chen, I.-Ting Kao, and Chen-Yi Wu. Protocol for systematic review and meta-analysis of prognostic value of sarcopenia in advanced HCC patients treating with systemic therapy. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0011.

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Review question / Objective: P: Advanced HCC patients under systemic therapy; I: low skeletal muscle mass (LSMM); C: Non-LSMM; O:overall survival or mortality. Eligibility criteria: (1) cohort studies or cross sectional studies investigations with HCC patients treated with systemic therapy; (2) the articles estimated pretreatment skeletal muscle mass measured by CT-images; (3) studies provided statistical data about the prevalence pretreatment LSMM or influence of LSMM on OS orPFS.
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