Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes

Cited by (1,002)

Items 101–200 of 1,002

1. Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review
   Biruk Tsegaye, Kym I E Snell, Lucinda Archer, Shona Kirtley, Richard D Riley, Matthew Sperrin, Ben VAN CALSTER, Professor Gary S. Collins, Paula Dhiman · 2025 · Journal of Clinical Epidemiology
2. Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study
   Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun · 2025 · Journal of Medical Internet Research
3. Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches
   Glen Philip Martin, Matthew Sperrin, Kym I. E. Snell, Iain Edward Buchan, Richard D. Riley · 2020 · Statistics in Medicine
4. Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease
   Alexander Pate, Richard Emsley, Matthew Sperrin, Glen Philip Martin, Tjeerd Pieter van Staa · 2020 · Diagnostic and Prognostic Research
5. Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably
   Thomas E. Cowling, David Alan Cromwell, Alexis Bellot, Linda D. Sharples, Jan van der Meulen · 2021 · Journal of Clinical Epidemiology
6. Machine learning in precision medicine: lessons to learn
   Darren Plant, Anne C Barton · 2020 · Nature Reviews Rheumatology
7. A Clinical Decision Tool for Selection of Patients With Symptomatic Cholelithiasis for Cholecystectomy Based on Reduction of Pain and a Pain-Free State Following Surgery
   Carmen S. S. Latenstein, Gerjon Hannink, Jarmila D.W. van der Bilt, Sandra C. Donkervoort, Quirijn A. J. Eijsbouts, Joos Heisterkamp, Vincent B. Nieuwenhuijs, Jennifer M. J. Schreinemakers, Bastiaan Wiering, Marja A. Boermeester et al. · 2021 · JAMA Surgery
8. Derivation and validation of a simple multidimensional index incorporating exercise capacity parameters for survival prediction in idiopathic pulmonary fibrosis
   Abhimanyu Chandel, Jean Pastré, S. Valéry, Christopher S. King, Steven D. Nathan · 2022 · Thorax
9. Cardiovascular Disease Prognostic Models in Latin America and the Caribbean: A Systematic Review
   Rodrigo Martin Carrillo-Larco, Carlos Altez-Fernandez, Niels Victor Pacheco-Barrios, Claudia Bambs S., Vilma Edith Irazola, J. Jaime Miranda, Goodarz Danaei, Pablo Perel · 2019 · Global Heart
10. The CCEDRRN COVID-19 Mortality Score to predict death among nonpalliative patients with COVID-19 presenting to emergency departments: a derivation and validation study
    Corinne Michèle Hohl, Rhonda J. Rosychuk, Patrick Michel Archambault, Fiona O’Sullivan, Murdoch Leeies, Éric Mercier, Gregory Clark, Grant D Innes, Steven C. Brooks, Jake Hayward et al. · 2022 · CMAJ Open
11. Adverse outcomes associated with concurrent gabapentin, opioid, and benzodiazepine utilization: A nested case-control study
    Abisola Olopoenia, Wendy Camelo-Castillo, Danya M. Qato, Adepeju Matilda Adekoya, Frank M. Palumbo, Leah Sera, Jane M. Simoni · 2022 · The Lancet Regional Health - Americas
12. Machine learning for all! Benchmarking automated, explainable, and coding-free platforms on civil and environmental engineering problems
    Mohannad Zeyad Naser · 2023 · Journal of Infrastructure Intelligence and Resilience
13. A two‐stage prediction model for heterogeneous effects of treatments
    Konstantina Chalkou, Ewout Willem Steyerberg, Matthias Egger, Andrea Manca, Fabio Pellegrini, Georgia Salanti · 2021 · Statistics in Medicine
14. Sample size and predictive performance of machine learning methods with survival data: A simulation study
    Infante, Gabriele, Miceli, Rosalba, Ambrogi, Federico · 2023 · Statistics in Medicine
15. Demystifying Statistics and Machine Learning in Analysis of Structured Tabular Data
    Bardia Khosravi, Alexander D. Weston, Fred Nugen, John P. Mickley, Hilal Maradit Kremers, Cody C. Wyles, Rickey E. Carter, Michael J. Taunton · 2023 · The Journal of Arthroplasty
16. An evaluation of sample size requirements for developing risk prediction models with binary outcomes
    Menelaos Pavlou, Gareth Ambler, Qu Chen, Shaun R. Seaman, Ian R. White, Rumana Omar · 2024 · BMC Medical Research Methodology
17. Drawing the borderline: Predicting treatment outcomes in patients with borderline personality disorder
    Philipp Herzog, Matthias Feldmann, Ulrich Voderholzer, Thomas Gärtner, Michael Armbrust, Elisabeth Rauh, Robert Doerr, Winfried Rief, Eva‐Lotta Brakemeier · 2020 · Behaviour Research and Therapy
18. Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches.
    Glen Philip Martin, Matthew Sperrin, Kym I E Snell, Iain Edward Buchan, Richard D Riley · 2020 · Keele Research Repository (Keele University)
19. Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient
    Shane D. Collins, Niels B. Peek, Richard D Riley, Glen Philip Martin · 2020 · Journal of Clinical Epidemiology
20. Predictors of clinical deterioration in patients with suspected COVID-19 managed in a ‘virtual hospital’ setting: a cohort study
    Nick A Francis, Beth L. Stuart, Matthew Knight, Rama Vancheeswaran, Charles Matthew Oliver, Merlin Luke Willcox, Andrew Bryan Timothy Barlow, Michael V Moore · 2021 · BMJ Open
21. Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction model
    Xinli Chen, Huan Zhang, Dongxian Guo, Si-Yuan Yang, Bao Liu, Yiping Hao, Qingqing Liu, Teng Zhang, F. Meng, Long-Yun Sun et al. · 2024 · EClinicalMedicine
22. Developing clinical prediction models for nonrecovery in older patients seeking care for back pain: the back complaints in the elders prospective cohort study
    Wendelien H. van der Gaag, Alessandro Chiarotto, Martijn W. Heymans, Wendy T. M. Enthoven, Jantine van Rijckevorsel-Scheele, Sita Bierma‐Zeinstra, Arthur M. Bohnen, Bart Willem Koes · 2020 · Pain
23. Epigenetic biomarkers of ageing are predictive of mortality risk in a longitudinal clinical cohort of individuals diagnosed with oropharyngeal cancer
    Rhona A. Beynon, Suzanne Marie Ingle, Ryan Langdon, Margaret May, Andy Ness, Richard Michael Martin, Matthew J Suderman, Kate Ingarfield, Riccardo Emilio Marioni, Daniel L. McCartney et al. · 2022 · Clinical Epigenetics
24. Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study
    Xianjing Liu, Tobias E. Sangers, Tamar E. C. Nijsten, Manfred Kayser, Luba Milena Pardo, Eppo Bonne Wolvius, Gennady V. Roshchupkin, Marlies Wakkee · 2024 · EClinicalMedicine
25. Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models
    Rosemary Townsend, Aminmohamed Manji, John Allotey, Alexander E. P. Heazell, L Jorgensen, Laura Ann Magee, Ben W. Mol, Kym I E Snell, Richard D Riley, Jane Sandall et al. · 2020 · BJOG An International Journal of Obstetrics & Gynaecology
26. Admission levels of Soluble Urokinase Plasminogen Activator Receptor (suPAR) are Associated with the Development of Severe Complications in Hospitalised COVID-19 Patients: A Prospective Cohort Study
    Abderrahim Oulhaj, Ahmed R. Alsuwaidi, Abubaker Suliman, Huda Imam Gasmelseed, Shaima Wasim Khan, S.M. Al Alawi, Yaman O. Hukan, Junu Abi George, Fayez Ebrahim Alshamsi, Farrukh Amin Sheikh et al. · 2021 · International Journal of Infectious Diseases
27. Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence
    Ramesh Nadarajah, Jianhua Wu, Alejandro Federico Frangi, David Hogg, Campbell Cowan, Chris P Gale · 2021 · BMJ Open
28. Epigenetic modelling of former, current and never smokers
    Ryan Langdon, Paul Yousefi, Caroline Laura Relton, Matthew J Suderman · 2021 · Clinical Epigenetics
29. Derivation and Validation of a Clinical Risk Score for COAPT-Ineligible Patients Who Underwent Transcatheter Edge-to-Edge Repair
    Andrea Scotti, Azeem Latib, Antonio Popolo Rubbio, Luca Testa, Marianna Adamo, Paolo Denti, Francesco Melillo, Maurizio Taramasso, Antonio Sisinni, Federico DE MARCO et al. · 2022 · The American Journal of Cardiology
30. Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study
    Emma L. Twait, Constanza L. Andaur Navarro, Vilmundur G. Gudnason, Yi‐Han Hu, Lenore J. Launer, Mirjam I. Geerlings · 2023 · BMC Medical Informatics and Decision Making
31. Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes
    Jingyu Zhong, Xianwei Liu, Junjie Anderson Lu, Jiarui Yang, Guangcheng Zhang, Shiqi Mao, Haoda Chen, Qian Yin, Qingqing Cen, Run Jiang et al. · 2025 · European Radiology
32. Prognostic models for mortality after cardiac surgery in patients with infective endocarditis: a systematic review and aggregation of prediction models
    Borja Manuel Fernandez-Felix, Laura Varela Barca, Esther García‐Esquinas, Andrea Correa-Pérez, Nuria Fernández‐Hidalgo, Alfonso Muriel, Jesús López‐Alcalde, Noelia Álvarez Díaz, José Ignacio Pijoán, Aída Ribera et al. · 2021 · Clinical Microbiology and Infection
33. The prognostic utility of soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PIGF) biomarkers for predicting preeclampsia: a secondary analysis of data from the INSPIRE trial
    Meron Mehari Kifle, Prabin Dahal, Manu Vatish, Ana Sofia Cerdeira, Eric O. Ohuma · 2022 · BMC Pregnancy and Childbirth
34. The 17-Gene Genomic Prostate Score Test Is Prognostic for Outcomes After Primary External Beam Radiation Therapy in Men With Clinically Localized Prostate Cancer
    Jessica L. Janes, Matthew J. Boyer, John P. Bennett, Vanessa M. Thomas, Amanda M. De Hoedt, David K. Edwards V, Purva K. Singla, John M. Abran, Tamer A. Aboushwareb, Joseph Kamel Salama et al. · 2022 · International Journal of Radiation Oncology*Biology*Physics
35. Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study
    Lucinda Archer, Constantinos Koshiaris, Sarah L Lay-Flurrie, Kym I E Snell, Richard D Riley, Richard Stevens, Amitava Banerjee, Juliet A. Usher‐Smith, Andrew Paul Clegg, Rupert Payne et al. · 2022 · BMJ
36. EHR-ML: A data-driven framework for designing machine learning applications with electronic health records
    Yashpal Ramakrishnaiah, Nenad Maćešić, Geoffrey I. Webb, Anton Yariv Peleg, Sonika Tyagi · 2025 · International Journal of Medical Informatics
37. Harmful association of sprinting with muscle injury occurrence in professional soccer match-play: A two-season, league wide exploratory investigation from the Qatar Stars League.
    W. Gregson, V. Di Salvo, M. Varley, M. Modonutti, A. Belli, K. Chamari, M. Weston, Lorenzo Lolli, C. Eirale · 2020 · Journal of Science and Medicine in Sport
38. Predicting onset of early- and late-treatment resistance in first-episode schizophrenia patients using advanced shrinkage statistical methods in a small sample
    Olesya Ajnakina, Deborah Agbedjro, John Lally, Marta Di Forti, Antonella Trotta, Valeria Mondelli, Carmine Maria Pariante, Paola Dazzan, Fiona Gaughran, Helen Louise Fisher et al. · 2020 · Psychiatry Research
39. Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study
    Sujeong Hur, Ji Young Min, Junsang Yoo, Kyunga Kim, Chi Ryang Chung, Patricia C. Dykes, Won Chul Cha · 2021 · Journal of Medical Internet Research
40. Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review
    Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, Amin Naemi, Anette Søgaard Nielsen, Ghulam Mujtaba, Marjan Mansourvar · 2021 · IEEE Access
41. Association of Multimorbidity of Non-Communicable Diseases With Mortality: A 10-Year Prospective Study of 0‧5 Million Chinese Adults
    Siyu Zou, Zhan Wang, Maria Bhura, Kun Tang · 2020 · Public Health
42. Evaluation of various scoring systems as predictors of the need for intensive care unit admission and other adverse outcomes among patients with acute clozapine poisoning
    Heba Ibrahim Lashin, Asmaa Fady Sharif · 2023 · Toxicology Research
43. Twelve practical recommendations for developing and applying clinical predictive models
    Guoshuang Feng, Huiyu Xu, Shibiao Wan, Haitao Wang, Xiaofei Chen, Robert T. Magari, Yong Kwon Han, Yongyue Wei, Hongqiu Gu · 2024 · The Innovation Medicine
44. Global Positioning System–Derived Workload Metrics and Injury Risk in Team-Based Field Sports: A Systematic Review
    Natalie Kupperman, Jay N. Hertel · 2020 · Journal of Athletic Training
45. Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status
    Xiaoyang Liu, Mohamed Elbanan, Antonio Luna, Masoom A. Haider, Andrew D. Smith, Carl F. Sabottke, Bradley M Spieler, Barış Türkbey, David Fuentes, Ahmed W. Moawad et al. · 2022 · American Journal of Roentgenology
46. Predicting early extrahepatic recurrence after local treatment of colorectal liver metastases
    G. Emerens Wensink, Karen Bolhuis, Marloes A.G. Elferink, Remond J.A. Fijneman, Onno Kranenburg, Inne H.M. Borel Rinkes, Miriam Koopman, Rutger‐Jan Swijnenburg, Geraldine R. Vink, Jeroen Hagendoorn et al. · 2023 · British journal of surgery
47. Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology
    Burak Koçak, Leonid L. Chepelev, Linda Chi Hang Chu, Renato Cuocolo, Brendan S. Kelly, Philipp Seeböck, Yee Liang Thian, Robbert Willem van Hamersvelt, Alan Wang, Stuart M. Williams et al. · 2023 · European Radiology
48. What the future holds: Machine learning to predict success in psychotherapy
    Taubitz, Friedrich-Samuel, Büdenbender, Björn, Alpers, Georg W. · 2022 · Behaviour Research and Therapy
49. Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model
    Hamid Nasiri, Ali Dadashi, Mohammad Azadi · 2024 · Materials Today Communications
50. Transformer-based deep learning model for the diagnosis of suspected lung cancer in primary care based on electronic health record data
    L. F. Wang, Yonghua Yin, Ben Glampson, Robert L. Peach, Mauricio Barahona, Brendan C. Delaney, Erik K. Mayer · 2024 · EBioMedicine
51. CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?
    Michael P. Murphy, Nicholas M. Brown · 2021 · Clinical Orthopaedics and Related Research
52. Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation
    Philip Martin, Lois Charlotte Holloway, Peter E. Metcalfe, Eng‐Siew Koh, Caterina Brighi · 2022 · Cancers
53. Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study
    Ash Kieran Clift, Professor Gary S. Collins, Simon Lord, Stavros Petrou, David John Dodwell, Michael Brady, Julia Hippisley‐Cox · 2023 · The Lancet Digital Health
54. Risk prediction models for adolescent suicide: A systematic review and meta-analysis
    Ruitong Li, Yuchuan Yue, Xiaohua Gu, Lingling Xiong, Meiqi Luo, Ling Li · 2025 · Psychiatry Research
55. Limited generalizability and high risk of bias in multivariable models predicting conversion risk from mild cognitive impairment to dementia: A systematic review
    Robin Jeanna Vermeulen, Vebjørn Andersson, Jimmy Banken, Gerjon Hannink, Tim Martin Govers, Maroeska Mariet Rovers, Marcel Olde Rikkert · 2025 · Alzheimer s & Dementia
56. A Machine-Learning Model Based on Morphogeometric Parameters for RETICS Disease Classification and GUI Development
    José Miguel Bolarín, Francisco Cavas, José S. Velázquez, JORGE LUCIANO ALIO · 2020 · Applied Sciences
57. Writing for PCCM: The 3,000-Word Structured Clinical Research Report
    Robert Charles Tasker · 2021 · Pediatric Critical Care Medicine
58. Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors
    Shengyu Lu, Nicholas R. Fuggle, Leo D. Westbury, Mícheál Ó Breasail, Gregorio Bevilacqua, Kate Anna Ward, Elaine Margaret Dennison, Sasan Mahmoodi, Mahesan Niranjan, Cyrus C. Cooper · 2022 · Bone
59. Predicting treatment resistance from first-episode psychosis using routinely collected clinical information
    Emanuele Felice Osimo, Benjamin Ian Perry, Pavan Kumar Mallikarjun, Megan Pritchard, Jonathan Lewis, Asia Katunda, Graham K. Murray, Jesús Pérez, Peter Brian Jones, Rudolf N. Cardinal et al. · 2023 · Nature Mental Health
60. Prospective observational study to validate a next-generation sequencing blood RNA signature to predict early kidney transplant rejection
    Oriol Bestard, Joshua J. Augustine, Alvin Wee, Emilio D. Poggio, Roslyn Bernstein Mannon, Mohammed Javeed Ansari, Chandra Shekhar Bhati, Daniel G. Maluf, Scott T. Benken, Nicolae Leca et al. · 2023 · American Journal of Transplantation
61. Fundamentals of Clinical Prediction Modeling for the Neurosurgeon
    Hendrik-Jan Mijderwijk, Ewout Willem Steyerberg, Hans‐Jakob Steiger, Igor Fischer, Marcel Alexander Kamp · 2019 · Neurosurgery
62. How to develop, validate, and update clinical prediction models using multinomial logistic regression
    Celina K Gehringer, Glen Philip Martin, Ben VAN CALSTER, Kimme Leanne Hyrich, Suzanne M. M. Verstappen, Jamie C. Sergeant · 2024 · Journal of Clinical Epidemiology
63. FINDRISC in Latin America: a systematic review of diagnosis and prognosis models
    Rodrigo Martin Carrillo-Larco, Diego J Aparcana-Granda, Jhonatan R. Mejia, Antonio Bernabé‐Ortiz · 2020 · BMJ Open Diabetes Research & Care
64. Derivation of the Buffalo Concussion Physical Examination risk of delayed recovery (RDR) score to identify children at risk for persistent postconcussive symptoms
    Mohammad Nadir Haider, Adam Cunningham, Scott R. Darling, Heidi N. Suffoletto, Michael S. Freitas, Rajiv K Jain, Barry Stewart Willer, John J. Leddy · 2021 · British Journal of Sports Medicine
65. Defining the optimum strategy for identifying adults and children with coeliac disease: systematic review and economic modelling
    Martha Maria Christine Elwenspoek, Howard H. Z. Thom, Athena Louise Sheppard, Edna Keeney, Rachel O’Donnell, Joni Jackson, Cristina Roadevin, Sarah Dawson, Deborah Lane, Jo Stubbs et al. · 2022 · Health Technology Assessment
66. Statistical primer: sample size considerations for developing and validating clinical prediction models
    Glen Philip Martin, Richard D Riley, Joie Ensor, Stuart W Grant · 2025 · European Journal of Cardio-Thoracic Surgery
67. Development and validation of a prediction model for invasive bacterial infections in febrile children at European Emergency Departments: MOFICHE, a prospective observational study
    Nienke N. Hagedoorn, Dorine Borensztajn, Ruud Nijman, Daan Nieboer, Jethro Adam Herberg, Anda Balode, Ulrich von Both, Enitan D. Carrol, Irini Eleftheriou, Marieke Emonts et al. · 2020 · Archives of Disease in Childhood
68. Predicting Mental Health Treatment Access Among Adolescents With Elevated Depressive Symptoms: Machine Learning Approaches
    Mallory Dobias, Michael Brandon Sugarman, Michael C Mullarkey, Jessica Lee Schleider · 2021 · Administration and Policy in Mental Health and Mental Health Services Research
69. Public perception on COVID-19 vaccination intention
    Zaid Zaid, Katon Pratondo · 2021 · International Journal of Public Health Science (IJPHS)
70. Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the acute NHS setting
    Nathan A. Moore, Rebecca J. Williams, Matilde Mori, Beatrice Bertolusso, Gabrielle Vernet, Jessica L. Lynch, Pete Philipson, Thomas Ledgerwood, Stephen P. Kidd, Claire Thomas et al. · 2022 · Journal of Clinical Pathology
71. Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
    Luis H. John, Jan A. Kors, Jenna Reps, Patrick B. Ryan, Peter R. Rijnbeek · 2022 · International Journal of Medical Informatics
72. Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population
    Mohammad Ziaul Islam Chowdhury, Alexander A. C. Leung, Khokan C. Sikdar, Maeve O’Beirne, Hude Quan, Tanvir Chowdhury Turin · 2022 · Scientific Reports
73. Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients undergoing radical prostatectomy: a retrospective cohort study
    Jethro C.C. Kwong, Adree Khondker, Eric Meng, Nicholas Taylor, Cynthia Kuk, Nathan Perlis, Girish S. Kulkarni, Robert James Hamilton, Neil Eric Fleshner, Antonio Finelli et al. · 2023 · The Lancet Digital Health
74. Regresión logística
    J.A. Martínez Pérez, P.S. Pérez Martín · 2023 · Medicina de Familia SEMERGEN
75. Prioritising deteriorating patients using time-to-event analysis: prediction model development and internal–external validation
    Robin D. Blythe, Rex Parsons, Adrian Gerard Barnett, David Cook, Steven McPhail, Nicole Marie White · 2024 · Critical Care
76. The Unrealised Potential for Predicting Pregnancy Complications in Women with Gestational Diabetes: A Systematic Review and Critical Appraisal
    Shamil D. Cooray, Lihini A. Wijeyaratne, Georgia Soldatos, John Allotey, Jacqueline Anne Boyle, Helena Jane Teede · 2020 · International Journal of Environmental Research and Public Health
77. Machine learning to predict vasopressin responsiveness in patients with septic shock
    Aileen C. Scheibner, Kevin D. Betthauser, Alice F. Bewley, Paul Juang, Bryan D. Lizza, Scott T. Micek, Patrick G. Lyons · 2022 · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy
78. Augmented Adam-Gibbs model for glass melt viscosity and configuration entropy as functions of temperature and composition
    Pavel Ferkl, Pavel R Hrma, Albert A. Kruger · 2022 · Journal of Non-Crystalline Solids
79. Race-Based Disparities in the Frequency and Duration of Restraint Use in a Psychiatric Inpatient Setting
    Sonali Singal, Danielle Howell, Lauren A. Hanna, Sunny X. Tang, Anna Van Meter, Ema Saito, John Michael Kane, Timothy I. Michaels · 2023 · Psychiatric Services
80. Novel Risk Modeling Approach of Atrial Fibrillation With Restricted Mean Survival Times
    Laila Stærk, Sarah R. Preis, Honghuang Lin, Juan Pablo Casas, Kathryn L. Lunetta, Lu-Chen C Weng, Christopher D. Anderson, Patrick T. Ellinor, Steven A. Lubitz, Emelia J. Benjamin et al. · 2020 · Circulation Cardiovascular Quality and Outcomes
81. Minimal Pain Decrease Between 2 and 4 Weeks After Nonoperative Management of a Displaced Midshaft Clavicle Fracture Is Associated with a High Risk of Symptomatic Nonunion
    Andreas Haubjerg Qvist, Michael Toft Væsel, Carsten M. Jensen, Thomas Jakobsen, Steen Lund Jensen · 2020 · Clinical Orthopaedics and Related Research
82. Influence of light, water stress and shrub cover on sapling survival and height growth: the case of A. unedo, F. ornus and S. domestica under Mediterranean climate
    Manon Helluy, Jordane Gavinet, Bernard Prévosto, Catherine Fernandez · 2021 · European Journal of Forest Research
83. Significant new disability after major non-cardiac surgery in older adults aged 65 years and older in Canada: a multicentre prospective cohort study
    Duminda Nalaka Wijeysundera, Shabbir M.H. Alibhai, Martine T.E. Puts, Keying Xu, Julian F. Daza, Calvin Diep, Karim Shiraz Ladha, Tyler R. Chesney, C. David Mazer, Alice Chia-Chi Wei et al. · 2025 · The Lancet Healthy Longevity
84. A systematic review of methodological quality of model development studies predicting prognostic outcome for resectable pancreatic cancer
    Alison Bradley, Robert Van Der Meer, Colin J. McKay · 2019 · BMJ Open
85. Development and Validation of a Nomogram for Predicting Generalization in Patients With Ocular Myasthenia Gravis
    Zhe Ruan, Chao Sun, Yanlin Lang, Feng Gao, Rongjing Guo, Quan Xu, Liping Yu, Songdi Wu, Tao Lei, Yu Liu et al. · 2022 · Frontiers in Immunology
86. Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers
    Lenka N.C. Boyd, Mahsoem Ali, Annalisa Comandatore, Ingrid Garajová, Laura Kam, Jisce R. Puik, Stephanie M. Fraga Rodrigues, Laura L. Meijer, Tessa Y. S. Le Large, Marc G. Besselink et al. · 2023 · JAMA Network Open
87. The performance of prognostic models depended on the choice of missing value imputation algorithm: a simulation study
    Manja E. Deforth, Georg Heinze, Ulrike Held · 2024 · Journal of Clinical Epidemiology
88. Characterizing Treatment Effect Heterogeneity Using Real‐World Data
    Haedi E Thelen, Sean Hennessy · 2025 · Clinical Pharmacology & Therapeutics
89. Handling and reporting missing data in training load and injury risk research
    L. Bache-Mathiesen, T. Andersen, B. Clarsen, Morten Wang Fagerland · 2021 · Science and medicine in football
90. Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors
    Boryana Todorova, David Steyrl, Matthew J. Hornsey, Samuel G. Pearson, Cameron Brick, Florian Lange, Jay J. Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C Doell · 2025 · npj Climate Action
91. Identification of predictors for brain metastasis in newly diagnosed non-small cell lung cancer: a single-center cohort study
    Sohee Park, Sang Min Lee, Yura Ahn, Minjae Kim, Chong Hyun Suh, Kyung‐Hyun Do, Joon Beom Seo · 2021 · European Radiology
92. External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications ( IPPIC ) Network database: individual participant data meta‐analysis
    John Allotey, Rebecca Whittle, Kym I E Snell, Melanie Smuk, Rosemary Townsend, Peter von Dadelszen, Alexander E. P. Heazell, Laura Ann Magee, Gordon C. S. Smith, Jane Sandall et al. · 2021 · Ultrasound in Obstetrics and Gynecology
93. Using a statistical learning approach to identify sociodemographic and clinical predictors of response to clozapine
    Daniela Fonseca de Freitas, Giouliana Kadra-Scalzo, Deborah Agbedjro, Emma Francis, Isobel Ridler, Megan Pritchard, Hitesh Shetty, Aviv Segev, Cecilia Casetta, Sophie E. Smart et al. · 2022 · Journal of Psychopharmacology
94. Using Information Available at the Time of Donor Offer to Predict Kidney Transplant Survival Outcomes: A Systematic Review of Prediction Models
    Stephanie M. Riley, Qing Zhang, Wai-Yee Tse, Andrew Connor, Yinghui Wei · 2022 · Transplant International
95. Regression analyses and their particularities in observational studies
    Antonia Zapf, Christian Wiessner, Inke Regina König · 2024 · Deutsches Ärzteblatt international
96. Predictive Model for Estimating the Risk of Epilepsy After Aneurysmal Subarachnoid Hemorrhage
    Daniel Campos, Marc Rodrigo‐Gisbert, Laura Abraira, Manuel Quintana, Manel Santafé, Sofía Lallana, Elena Fonseca, Manuel Toledo, Darío Gándara, Fuat Arikán et al. · 2024 · Neurology
97. Prediction of disease severity in young children presenting with acute febrile illness in resource-limited settings: a protocol for a prospective observational study
    Arjun Chandna, Endashaw M. Aderie, Riris Andono Ahmad, Eggi Arguni, Elizabeth A. Ashley, Tanya Cope, Vu Quoc Dat, Nicholas Day, Arjen M. Dondorp, Víctor Illanes et al. · 2021 · BMJ Open
98. Immunoglobulin Signature Predicts Risk of Post-Acute Covid-19 Syndrome
    Carlo Cervia, Yves Zurbuchen, Patrick Taeschler, Sarah Adamo, Sara Hasler, Miro E. Raeber, Esther Bächli, Alain Rudiger, Melina Stüssi‐Helbling, Lars Christian Huber et al. · 2021 · SSRN Electronic Journal
99. Penalized Regression Methods With Modified Cross‐Validation and Bootstrap Tuning Produce Better Prediction Models
    Menelaos Pavlou, Rumana Omar, Gareth Ambler · 2024 · Biometrical Journal
100. Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model
     Joie Ensor, Kym I E Snell, Thomas P. A. Debray, Paul C. Lambert, Maxime P. Look, Mamas A. Mamas, Karel G.M. Moons, Richard D Riley · 2021 · Statistics in Medicine