Citations Report

Clinical Investigation : Citations & Metrics Report

Articles published in Clinical Investigation have been cited by esteemed scholars and scientists all around the world.

Clinical Investigation has got h-index 28, which means every article in Clinical Investigation has got 28 average citations.

Following are the list of articles that have cited the articles published in Clinical Investigation.

• Anderson, Nicola, et al. "The use of Patient-Reported Outcomes in patients treated with maintenance hemodialysis." View at Publisher | View at Google Scholar | View at Indexing
• Anderson, Nicola, et al. "The use of Patient-Reported Outcomes in patients treated with maintenance hemodialysis." View at Publisher | View at Google Scholar | View at Indexing
• Day, Suzanne, et al. "Stakeholder engagement to inform HIV clinical trials: a systematic review of the evidence." Journal of the International AIDS Society 21 (2018): e25174. View at Publisher | View at Google Scholar | View at Indexing
• Asif, D., and M. Irshad. "Efficacy trials and progress of HIV vaccines." Journal of Cell Science and Therapy 8 (2017): 265. View at Publisher | View at Google Scholar | View at Indexing
• Ratnapriya, Sneha, et al. "Adjuvant?mediated enhancement of the immune response to HIV vaccines." The FEBS Journal (2021). View at Publisher | View at Google Scholar | View at Indexing
• Nye, Jonathan, et al. "Research productivity and collaboration of the NIH-funded HIV vaccine trials network: A bibliometric analysis." Heliyon 7.1 (2021): e06005. View at Publisher | View at Google Scholar | View at Indexing
• Gorini, Giacomo. Study of the Immune Correlates of Protection in Rhesus Macaques Vaccinated against Simian Immunodeficiency Virus. Diss. University of Cambridge, 2019. View at Publisher | View at Google Scholar | View at Indexing
• Langat, Robert, et al. "Performance of an IAVI-African Network of Clinical Research Laboratories in Standardized ELISpot and Peripheral Blood Mononuclear Cell Processing in Support of HIV Vaccine Clinical Trials." bioRxiv (2018): 300087. View at Publisher | View at Google Scholar | View at Indexing
• Langat, Robert K., et al. "Performance of International AIDS Vaccine Initiative African clinical research laboratories in standardised ELISpot and peripheral blood mononuclear cell processing in support of HIV vaccine clinical trials." African Journal of Laboratory Medicine 10.1 (2021): 1-13. View at Publisher | View at Google Scholar | View at Indexing
• Hu, Feifang, and Li-Xin Zhang. "On the theory of covariate-adaptive designs." arXiv preprint arXiv:2004.02994 (2020). View at Publisher | View at Google Scholar | View at Indexing
• Zhu, Hongjian, and Feifang Hu. "Sequential monitoring of covariate-adaptive randomized clinical trials." Statistica Sinica 29.1 (2019): 265-282. View at Publisher | View at Google Scholar | View at Indexing
• Sajobi, Tolulope T., et al. "Minimal sufficient balance randomization for sequential randomized controlled trial designs: results from the ESCAPE trial." Trials 18.1 (2017): 1-6. View at Publisher | View at Google Scholar | View at Indexing
• Wang, Yaping. Variable selection, response adaptive randomization, and covariate-adjusted response-adaptive randomization for personalized medicine. Diss. The University of Texas School of Public Health, 2014. View at Publisher | View at Google Scholar | View at Indexing
• Salzer, Elisabeth, and Caroline Hutter. "Therapy concepts in the context of precision medicine for pediatric malignancies—children are not adults." memo-Magazine of European Medical Oncology (2021): 1-5. View at Publisher | View at Google Scholar | View at Indexing
• Selvaratnam, Selvakkadunko, Yanqing Yi, and Alwell Oyet. "Maximum likelihood estimation of generalized linear models for adaptive designs: Applications and asymptotics." Biometrical Journal 61.3 (2019): 630-651. View at Publisher | View at Google Scholar | View at Indexing
• Ng, Penny Wai Ping. REGULATION Of PEDIATRIC CANCER DRUG DEVELOPMENT: AN INDUSTRY PERSPECTIVE. Diss. UNIVERSITY OF SOUTHERN CALIFORNIA, 2019. View at Publisher | View at Google Scholar | View at Indexing
• Ryeznik, Yevgen, Oleksandr Sverdlov, and Andrew C. Hooker. "Implementing optimal designs for dose–response studies through adaptive randomization for a small population group." The AAPS journal 20.5 (2018): 1-15. View at Publisher | View at Google Scholar | View at Indexing
• Selvaratnam, Selvakkadunko. Statistical inference for adaptive designs in multi-center clinical trials. Diss. Memorial University of Newfoundland, 2018. View at Publisher | View at Google Scholar | View at Indexing
• Li, Xiaoming. Design and inference of clinical trials with continuous covariates. Diss. University of Virginia, 2015. View at Publisher | View at Google Scholar | View at Indexing
• Zhao, Wanying. Adaptive designs utilizing covariates for precision medicine and their statistical inference. Diss. The George Washington University, 2017. View at Publisher | View at Google Scholar | View at Indexing
• Khallaf, Salah Mabrouk, Jasmine Roshdy, and Abeer Ibrahim. "Predictive and Prognostic Factors for the Outcome of the Patients Receiving Pegylated Liposomal Doxorubicin for Advanced Breast Cancer." Advances in Breast Cancer Research 9.2 (2020): 21-33. View at Publisher | View at Google Scholar | View at Indexing
• Cro, Suzie, et al. "Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: a practical guide." Statistics in medicine 39.21 (2020): 2815-2842. View at Publisher | View at Google Scholar | View at Indexing
• Tang, Yongqiang. "Controlled pattern imputation for sensitivity analysis of longitudinal binary and ordinal outcomes with nonignorable dropout." Statistics in medicine 37.9 (2018): 1467-1481. View at Publisher | View at Google Scholar | View at Indexing
• Cro, Suzie, et al. "A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic." BMC medical research methodology 20.1 (2020): 1-12. View at Publisher | View at Google Scholar | View at Indexing
• Tang, Yongqiang. "Closed?form REML estimators and sample size determination for mixed effects models for repeated measures under monotone missingness." Statistics in medicine 36.13 (2017): 2135-2147. View at Publisher | View at Google Scholar | View at Indexing
• Leurent, Baptiste, et al. "Reference?based multiple imputation for missing data sensitivity analyses in trial?based cost?effectiveness analysis." Health economics 29.2 (2020): 171-184. View at Publisher | View at Google Scholar | View at Indexing
• Leurent, Baptiste, et al. "Reference?based multiple imputation for missing data sensitivity analyses in trial?based cost?effectiveness analysis." Health economics 29.2 (2020): 171-184. View at Publisher | View at Google Scholar | View at Indexing
• Cro, Suzie. Relevant accessible sensitivity analysis for clinical trials with missing data. Diss. London School of Hygiene & Tropical Medicine, 2017. View at Publisher | View at Google Scholar | View at Indexing
• Floden, Lysbeth. "Statistical Approaches for Handling Missing Data and Defining Estimands using Responder Analysis in Clinical Trials." (2019). View at Publisher | View at Google Scholar | View at Indexing
• Leurent, Baptiste. Cost-effectiveness analysis with informative missing data: tools and strategies. Diss. London School of Hygiene & Tropical Medicine, 2019. View at Publisher | View at Google Scholar | View at Indexing
• Rehal, Sunita. Implications of missing data in tuberculosis non-inferiority clinical trials. Diss. UCL (University College London), 2018. View at Publisher | View at Google Scholar | View at Indexing
• Tan, Ping-Tee, et al. "A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data." BMC medical research methodology 21.1 (2021): 1-17. View at Publisher | View at Google Scholar | View at Indexing
• Reddy, Tarylee. "Prediction of time to threshold from a repeatedly measured biomarker." View at Publisher | View at Google Scholar | View at Indexing
• Wang, Xi, and Vernon M. Chinchilli. "Analysis of crossover designs with nonignorable dropout." Statistics in Medicine 40.1 (2021): 64-84. View at Publisher | View at Google Scholar | View at Indexing
• Chakladar, Sujatro, Ran Liao, and Margaret Gamalo. "Estimands, Handling of Missing Data and Impact on Assumed Effect Size and Power in Pivotal COVID-19 Treatment Trials." Journal of Biopharmaceutical Statistics (2021): 1-22. View at Publisher | View at Google Scholar | View at Indexing
• Cro, Suzie, et al. "A four-step strategy for handling missing outcome data in randomised trials affected by a." View at Publisher | View at Google Scholar | View at Indexing
• Randhawa, Manreet, et al. "Vedolizumab in combined immune checkpoint therapy-induced infliximab-refractory colitis in a patient with metastatic melanoma: A case report." World journal of clinical oncology 10.10 (2019): 350. View at Publisher | View at Google Scholar | View at Indexing
• Bidwell, L. Cinnamon, et al. "ADHD symptoms impact smoking outcomes and withdrawal in response to Varenicline treatment for smoking cessation." Drug and alcohol dependence 179 (2017): 18-24. View at Publisher | View at Google Scholar | View at Indexing
• Banerjee, Ritwik. Knowledge Extraction from Diverse Biomedical Corpora with Applications in Healthcare: Bridging the Translational Gap. Diss. The Graduate School, Stony Brook University: Stony Brook, NY., 2015. View at Publisher | View at Google Scholar | View at Indexing
• Lotan, Yair, Jack Schalken, and Nathan Lawrentschuk. "The Future of Biomarkers in Urologic Oncology." MOLECULAR BIOMARKERS IN UROLOGIC ONCOLOGY (2020): 428. View at Publisher | View at Google Scholar | View at Indexing
• Arefolov, Alexander, et al. "Implementation of the FAIR Data Principles for Exploratory Biomarker Data from Clinical Trials." Data Intelligence 3.4 (2021): 631-662. View at Publisher | View at Google Scholar | View at Indexing
• Kempson, James, et al. "Discovery of highly potent, selective, covalent inhibitors of JAK3." Bioorganic & medicinal chemistry letters 27.20 (2017): 4622-4625. View at Publisher | View at Google Scholar | View at Indexing
• Bharwad, Kirtikumar D., et al. "Development and validation of a rapid and sensitive UPLC–MS/MS assay for the quantification of tofacitinib in human plasma." Biomedical Chromatography 33.4 (2019): e4458. View at Publisher | View at Google Scholar | View at Indexing
• Padjen, Ivan. "Drugs used in rheumatic disease." Handbook of Systemic Autoimmune Diseases. Vol. 15. Elsevier, 2018. 39-76. View at Publisher | View at Google Scholar | View at Indexing
• Siva, B., S. Kiran, and S. Raja. "RP-HPLC method development and validation for the quantification of tofacitinib." J Life Sci Res 4.4 (2018): 646-653. View at Publisher | View at Google Scholar | View at Indexing
• Gorantla, Srividya, Ranendra N. Saha, and Gautam Singhvi. "Spectrophotometric method to quantify tofacitinib in lyotropic liquid crystalline nanoparticles and skin layers: Application in ex vivo dermal distribution studies." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 255 (2021): 119719. View at Publisher | View at Google Scholar | View at Indexing
• Rashidbaghan, Azam, et al. "The Agglutinin of Common Nettle (Urtica dioica L.) Plant Effects on Gene Expression Related to Apoptosis of Human Acute Myeloid Leukemia Cell Line." Biochemical Genetics (2021): 1-16. View at Publisher | View at Google Scholar | View at Indexing
• Mancuso, Maria Elisa, et al. "Health?related quality of life and caregiver burden of emicizumab in children with haemophilia A and factor VIII inhibitors—Results from the HAVEN 2 study." Haemophilia 26.6 (2020): 1009-1018. View at Publisher | View at Google Scholar | View at Indexing
• Limaye, Nimita, and Veena Jaguste. "Risk-based monitoring (RBM) implementation: challenges and potential solutions." Therapeutic innovation & regulatory science 53.2 (2019): 183-189. View at Publisher | View at Google Scholar | View at Indexing
• Zink, Richard C., Anastasia Dmitrienko, and Alex Dmitrienko. "Rethinking the clinically based thresholds of TransCelerate BioPharma for risk-based monitoring." Therapeutic innovation & regulatory science 52.5 (2018): 560-571. View at Publisher | View at Google Scholar | View at Indexing