153 related articles for article (PubMed ID: 36660777)
1. Minimum sample size for developing a multivariable prediction model using multinomial logistic regression.
Pate A; Riley RD; Collins GS; van Smeden M; Van Calster B; Ensor J; Martin GP
Stat Methods Med Res; 2023 Mar; 32(3):555-571. PubMed ID: 36660777
[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. Sample size considerations and predictive performance of multinomial logistic prediction models.
de Jong VMT; Eijkemans MJC; van Calster B; Timmerman D; Moons KGM; Steyerberg EW; van Smeden M
Stat Med; 2019 Apr; 38(9):1601-1619. PubMed ID: 30614028
[TBL] [Abstract][Full Text] [Related]
4. Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes.
Riley RD; Snell KIE; Ensor J; Burke DL; Harrell FE; Moons KGM; Collins GS
Stat Med; 2019 Mar; 38(7):1262-1275. PubMed ID: 30347470
[TBL] [Abstract][Full Text] [Related]
5. Sample size for binary logistic prediction models: Beyond events per variable criteria.
van Smeden M; Moons KG; de Groot JA; Collins GS; Altman DG; Eijkemans MJ; Reitsma JB
Stat Methods Med Res; 2019 Aug; 28(8):2455-2474. PubMed ID: 29966490
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A note on estimating the Cox-Snell R
Riley RD; Van Calster B; Collins GS
Stat Med; 2021 Feb; 40(4):859-864. PubMed ID: 33283904
[TBL] [Abstract][Full Text] [Related]
8. Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption.
Edlinger M; van Smeden M; Alber HF; Wanitschek M; Van Calster B
Stat Med; 2022 Apr; 41(8):1334-1360. PubMed ID: 34897756
[TBL] [Abstract][Full Text] [Related]
9. Minimum sample size for external validation of a clinical prediction model with a binary outcome.
Riley RD; Debray TPA; Collins GS; Archer L; Ensor J; van Smeden M; Snell KIE
Stat Med; 2021 Aug; 40(19):4230-4251. PubMed ID: 34031906
[TBL] [Abstract][Full Text] [Related]
10. Applications of Bayesian shrinkage prior models in clinical research with categorical responses.
Bhattacharyya A; Pal S; Mitra R; Rai S
BMC Med Res Methodol; 2022 Apr; 22(1):126. PubMed ID: 35484507
[TBL] [Abstract][Full Text] [Related]
11. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
12. Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small.
Riley RD; Snell KIE; Martin GP; Whittle R; Archer L; Sperrin M; Collins GS
J Clin Epidemiol; 2021 Apr; 132():88-96. PubMed ID: 33307188
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. [Subgroup identification based on the Logistic model].
Zhang Y; Li X; Wang Z; An S
Nan Fang Yi Ke Da Xue Xue Bao; 2018 Dec; 38(12):1503-1508. PubMed ID: 30613021
[TBL] [Abstract][Full Text] [Related]
15. A Multi-way Multi-task Learning Approach for Multinomial Logistic Regression*. An Application in Joint Prediction of Appointment Miss-opportunities across Multiple Clinics.
Alaeddini A; Hong SH
Methods Inf Med; 2017 Aug; 56(4):294-307. PubMed ID: 28590498
[TBL] [Abstract][Full Text] [Related]
16. The log multinomial regression model for nominal outcomes with more than two attributes.
Blizzard L; Hosmer DW
Biom J; 2007 Dec; 49(6):889-902. PubMed ID: 17849384
[TBL] [Abstract][Full Text] [Related]
17. No rationale for 1 variable per 10 events criterion for binary logistic regression analysis.
van Smeden M; de Groot JA; Moons KG; Collins GS; Altman DG; Eijkemans MJ; Reitsma JB
BMC Med Res Methodol; 2016 Nov; 16(1):163. PubMed ID: 27881078
[TBL] [Abstract][Full Text] [Related]
18. Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study.
Van Calster B; van Smeden M; De Cock B; Steyerberg EW
Stat Methods Med Res; 2020 Nov; 29(11):3166-3178. PubMed ID: 32401702
[TBL] [Abstract][Full Text] [Related]
19. Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome.
Riley RD; Collins GS; Ensor J; Archer L; Booth S; Mozumder SI; Rutherford MJ; van Smeden M; Lambert PC; Snell KIE
Stat Med; 2022 Mar; 41(7):1280-1295. PubMed ID: 34915593
[TBL] [Abstract][Full Text] [Related]
20. A nonparametric multiple imputation approach for missing categorical data.
Zhou M; He Y; Yu M; Hsu CH
BMC Med Res Methodol; 2017 Jun; 17(1):87. PubMed ID: 28587662
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
