108 related articles for article (PubMed ID: 33383128)
1. Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient.
Collins SD; Peek N; Riley RD; Martin GP
J Clin Epidemiol; 2021 May; 133():53-60. PubMed ID: 33383128
[TBL] [Abstract][Full Text] [Related]
2. Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes.
Riley RD; Snell KI; Ensor J; Burke DL; Harrell FE; Moons KG; Collins GS
Stat Med; 2019 Mar; 38(7):1276-1296. PubMed ID: 30357870
[TBL] [Abstract][Full Text] [Related]
3. Adaptive sample size determination for the development of clinical prediction models.
Christodoulou E; van Smeden M; Edlinger M; Timmerman D; Wanitschek M; Steyerberg EW; Van Calster B
Diagn Progn Res; 2021 Mar; 5(1):6. PubMed ID: 33745449
[TBL] [Abstract][Full Text] [Related]
4. Missing data was handled inconsistently in UK prediction models: a review of method used.
Tsvetanova A; Sperrin M; Peek N; Buchan I; Hyland S; Martin GP
J Clin Epidemiol; 2021 Dec; 140():149-158. PubMed ID: 34520847
[TBL] [Abstract][Full Text] [Related]
5. Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination.
Venema E; Wessler BS; Paulus JK; Salah R; Raman G; Leung LY; Koethe BC; Nelson J; Park JG; van Klaveren D; Steyerberg EW; Kent DM
J Clin Epidemiol; 2021 Oct; 138():32-39. PubMed ID: 34175377
[TBL] [Abstract][Full Text] [Related]
6. External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb.
Snell KIE; Archer L; Ensor J; Bonnett LJ; Debray TPA; Phillips B; Collins GS; Riley RD
J Clin Epidemiol; 2021 Jul; 135():79-89. PubMed ID: 33596458
[TBL] [Abstract][Full Text] [Related]
7. Adequate sample size for developing prediction models is not simply related to events per variable.
Ogundimu EO; Altman DG; Collins GS
J Clin Epidemiol; 2016 Aug; 76():175-82. PubMed ID: 26964707
[TBL] [Abstract][Full Text] [Related]
8. Design Characteristics Influence Performance of Clinical Prediction Rules in Validation: A Meta-Epidemiological Study.
Ban JW; Emparanza JI; Urreta I; Burls A
PLoS One; 2016; 11(1):e0145779. PubMed ID: 26730980
[TBL] [Abstract][Full Text] [Related]
9. Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing models.
Martin GP; Mamas MA; Peek N; Buchan I; Sperrin M
BMC Med Res Methodol; 2017 Jan; 17(1):1. PubMed ID: 28056835
[TBL] [Abstract][Full Text] [Related]
10. Field Synopsis of the Role of Sex in Stroke Prediction Models.
Paulus JK; Lai LY; Lundquist C; Daneshmand A; Buettner H; Lutz JS; Raman G; Wessler BS; Kent DM
J Am Heart Assoc; 2016 May; 5(5):. PubMed ID: 27151514
[TBL] [Abstract][Full Text] [Related]
11. Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review.
Dhiman P; Ma J; Qi C; Bullock G; Sergeant JC; Riley RD; Collins GS
BMC Med Res Methodol; 2023 Aug; 23(1):188. PubMed ID: 37598153
[TBL] [Abstract][Full Text] [Related]
12. Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance.
Martin GP; Riley RD; Collins GS; Sperrin M
Stat Methods Med Res; 2021 Dec; 30(12):2545-2561. PubMed ID: 34623193
[TBL] [Abstract][Full Text] [Related]
13. Every which way? On predicting tumor evolution using cancer progression models.
Diaz-Uriarte R; Vasallo C
PLoS Comput Biol; 2019 Aug; 15(8):e1007246. PubMed ID: 31374072
[TBL] [Abstract][Full Text] [Related]
14. Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches.
Martin GP; Sperrin M; Snell KIE; Buchan I; Riley RD
Stat Med; 2021 Jan; 40(2):498-517. PubMed ID: 33107066
[TBL] [Abstract][Full Text] [Related]
15. Clinical prediction models for young febrile infants at the emergency department: an international validation study.
Vos-Kerkhof E; Gomez B; Milcent K; Steyerberg EW; Nijman RG; Smit FJ; Mintegi S; Moll HA; Gajdos V; Oostenbrink R
Arch Dis Child; 2018 Nov; 103(11):1033-1041. PubMed ID: 29794106
[TBL] [Abstract][Full Text] [Related]
16. Use of treatment information from a state central cancer registry in prostate cancer research.
Xiao H; Tan F; Goovaerts P; Adunlin G; Ali AA; Gwede CK; Huang Y
J Registry Manag; 2013; 40(3):127-30. PubMed ID: 24643215
[TBL] [Abstract][Full Text] [Related]
17. Traditional Chinese patent medicines for cancer treatment in China: a nationwide medical insurance data analysis.
Wu M; Lu P; Shi L; Li S
Oncotarget; 2015 Nov; 6(35):38283-95. PubMed ID: 26513017
[TBL] [Abstract][Full Text] [Related]
18. Clinical Prediction Models for Cardiovascular Disease: Tufts Predictive Analytics and Comparative Effectiveness Clinical Prediction Model Database.
Wessler BS; Lai Yh L; Kramer W; Cangelosi M; Raman G; Lutz JS; Kent DM
Circ Cardiovasc Qual Outcomes; 2015 Jul; 8(4):368-75. PubMed ID: 26152680
[TBL] [Abstract][Full Text] [Related]
19. Models predicting survival to guide treatment decision-making in newly diagnosed primary non-metastatic prostate cancer: a systematic review.
Thurtle D; Rossi SH; Berry B; Pharoah P; Gnanapragasam VJ
BMJ Open; 2019 Jun; 9(6):e029149. PubMed ID: 31230029
[TBL] [Abstract][Full Text] [Related]
20. Clinical Prediction Models for Valvular Heart Disease.
Wessler BS; Lundquist CM; Koethe B; Park JG; Brown K; Williamson T; Ajlan M; Natto Z; Lutz JS; Paulus JK; Kent DM
J Am Heart Assoc; 2019 Oct; 8(20):e011972. PubMed ID: 31583938
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]