BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 27679585)

  • 1. Model Complexity in Diffusion Modeling: Benefits of Making the Model More Parsimonious.
    Lerche V; Voss A
    Front Psychol; 2016; 7():1324. PubMed ID: 27679585
    [TBL] [Abstract][Full Text] [Related]  

  • 2. How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria.
    Lerche V; Voss A; Nagler M
    Behav Res Methods; 2017 Apr; 49(2):513-537. PubMed ID: 27287445
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Retest reliability of the parameters of the Ratcliff diffusion model.
    Lerche V; Voss A
    Psychol Res; 2017 May; 81(3):629-652. PubMed ID: 27107855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Experimental validation of the diffusion model based on a slow response time paradigm.
    Lerche V; Voss A
    Psychol Res; 2019 Sep; 83(6):1194-1209. PubMed ID: 29224184
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Speed-accuracy manipulations and diffusion modeling: Lack of discriminant validity of the manipulation or of the parameter estimates?
    Lerche V; Voss A
    Behav Res Methods; 2018 Dec; 50(6):2568-2585. PubMed ID: 29542062
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software.
    Alexandrowicz RW; Gula B
    Front Psychol; 2020; 11():484737. PubMed ID: 33117213
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interpreting the parameters of the diffusion model: an empirical validation.
    Voss A; Rothermund K; Voss J
    Mem Cognit; 2004 Oct; 32(7):1206-20. PubMed ID: 15813501
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diffusion models in experimental psychology: a practical introduction.
    Voss A; Nagler M; Lerche V
    Exp Psychol; 2013; 60(6):385-402. PubMed ID: 23895923
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessing cognitive processes with diffusion model analyses: a tutorial based on fast-dm-30.
    Voss A; Voss J; Lerche V
    Front Psychol; 2015; 6():336. PubMed ID: 25870575
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python.
    Wiecki TV; Sofer I; Frank MJ
    Front Neuroinform; 2013; 7():14. PubMed ID: 23935581
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling across-trial variability in the Wald drift rate parameter.
    Steingroever H; Wabersich D; Wagenmakers EJ
    Behav Res Methods; 2021 Jun; 53(3):1060-1076. PubMed ID: 32948979
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Seven-parameter Diffusion Model: an Implementation in Stan for Bayesian Analyses.
    Henrich F; Hartmann R; Pratz V; Voss A; Klauer KC
    Behav Res Methods; 2024 Apr; 56(4):3102-3116. PubMed ID: 37640960
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks.
    Chau E; Murray CA; Shams L
    PeerJ; 2021; 9():e12273. PubMed ID: 34760356
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls.
    Peters J; D'Esposito M
    PLoS Comput Biol; 2020 Apr; 16(4):e1007615. PubMed ID: 32310962
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test.
    van Ravenzwaaij D; Mulder MJ; Tuerlinckx F; Wagenmakers EJ
    Front Psychol; 2012; 3():132. PubMed ID: 22615704
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Reexamining the effects of speed-accuracy instructions with a diffusion-model-based analysis.
    Ratcliff R; McKoon G
    J Exp Psychol Learn Mem Cogn; 2023 Nov; 49(11):1732-1751. PubMed ID: 37676126
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The counterintuitive impact of responses and response times on parameter estimates in the drift diffusion model.
    Jordan P
    Br J Math Stat Psychol; 2020 May; 73(2):289-315. PubMed ID: 31328270
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods.
    Arnold NR; Bröder A; Bayen UJ
    Psychol Res; 2015 Sep; 79(5):882-98. PubMed ID: 25281426
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data.
    Pedersen ML; Frank MJ
    Comput Brain Behav; 2020 Dec; 3(4):458-471. PubMed ID: 35128308
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Loss Aversion Reflects Information Accumulation, Not Bias: A Drift-Diffusion Model Study.
    Clay SN; Clithero JA; Harris AM; Reed CL
    Front Psychol; 2017; 8():1708. PubMed ID: 29066987
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.