Vadillo Nistal, Miguel Angel miguel.vadillo@uam.es

Publications

Debiasing Causal Inferences: Over and Beyond Suboptimal Sampling

  • Rodríguez-Ferreiro J
  • Vadillo MA
  • Barberia I

Teaching Of Psychology - 1/1/2021

10.1177/00986283211048394 View at source

  • ISSN 15328023

Correction: Mental Fatigue Might be Not So Bad for Exercise Performance After All: A Systematic Review and Bias-Sensitive Meta-Analysis

  • Holgado D, Sanabria D, Perales JC, Vadillo MA.

Journal of Cognition - 1/1/2021

10.5334/joc.178 View at source

  • ISSN 25144820

Publication bias and low power in field studies on goal priming

  • Shanks, David R.
  • Vadillo, Miguel A.;

Royal Society Open Science - 1/10/2021

10.1098/rsos.210544 View at source

  • ISSN 20545703

The evidential value of research on cognitive training to change food-related biases and unhealthy eating behavior: A systematic review and p-curve analysis

  • Navas JF
  • Verdejo-García A
  • Vadillo MA

Obesity Reviews - 1/12/2021

10.1111/obr.13338 View at source

  • ISSN 14677881

Is project-based learning effective among kindergarten and elementary students? A systematic review

  • Ferrero M
  • Vadillo MA
  • León SP

Plos One - 1/4/2021

10.1371/journal.pone.0249627 View at source

  • ISSN 19326203

Testing (Quizzing) Boosts Classroom Learning: A Systematic an Meta-Analytic Review

  • Yang, Chunliang
  • Luo, Liang
  • Vadillo, Miguel A.
  • Yu, Rongjun
  • Shanks, David R.;

Psychological Bulletin (p. 399-435) - 1/4/2021

10.1037/bul0000309 View at source

  • ISSN 00332909

Correlation analysis to investigate unconscious mental processes: A critical appraisal and mini-tutorial

  • Malejka S
  • Vadillo MA
  • Dienes Z
  • Shanks DR

COGNITION - 1/7/2021

10.1016/j.cognition.2021.104667 View at source

  • ISSN 00100277

Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study

  • Wongkoblap, Akkapon
  • Vadillo, Miguel A.
  • Curcin, Vasa;

JMIR MENTAL HEALTH - 16/8/2021

10.2196/19824 View at source

  • ISSN 23687959

The Challenge of Inferring Unconscious Mental Processes

  • Shanks, David R.
  • Malejka, Simone
  • Vadillo, Miguel A.;

Experimental Psychology (p. 113-129) - 26/8/2021

10.1027/1618-3169/a000517 View at source

  • ISSN 16183169

Is the habit system altered in individuals with obesity? A systematic review

  • Ciria, Luis F.
  • Watson, Poppy
  • Vadillo, Miguel A.
  • Luque, David;

Neuroscience And Biobehavioral Reviews (p. 621-632) - 1/9/2021

10.1016/j.neubiorev.2021.07.006 View at source

  • ISSN 01497634

This researcher has no books.

The web as a platform for e-research in the social and behavioral sciences

  • Garaizar P., Vadillo M., López-de-Ipiña D., Matute H.

Collaborative and Distributed E-Research: Innovations in Technologies, Strategies and Applications (p. 34-61) - 1/12/2012

10.4018/978-1-4666-0125-3.ch002 View at source

Señalización contextual de la atención visual

  • VADILLO NISTAL, MIGUEL ANGEL

Estudios contemporáneos en cognición comparada (p. 81-108) - 1/1/2017

  • iMarina

Contingency

  • VADILLO NISTAL, MIGUEL ANGEL

Encyclopedia of animal cognition and behavior - 1/1/2017

  • iMarina

Blocking

  • VADILLO NISTAL, MIGUEL ANGEL
  • Barberia, I.

Encyclopedia of animal cognition and behavior - 1/8/2017

  • iMarina

Modeling depression symptoms from social network data through multiple instance learning

  • Wongkoblap, A., Vadillo, M. A., & Curcin, V

El cementerio El salvador. Imágenes y representaciones de la burguesía rosarina (p. 44-53) - 1/1/2019

  • iMarina

Social media big data analysis for mental health research

  • Wongkoblap, A., Vadillo, M. A., y Curcin, V.

Mental Health In A Digital World (p. 109-143) - 1/1/2022

10.1016/b978-0-12-822201-0.00018-6 View at source

Neurobollocks: The new snake oil.

  • Garaizar, P
  • Ferrero, M.
  • VADILLO NISTAL, MIGUEL ANGEL

1/1/2016

  • iMarina

Detecting and Treating Mental Illness on Social Networks

  • Wongkoblap A., Vadillo M., Curcin V.

Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017 (p. 330-330) - 8/9/2017

10.1109/ichi.2017.24 View at source

The regression intercept method for demonstrating unconscious conditioning

  • Navas, J. F.
  • Verdejo-García, A.
  • Vadillo, Miguel A.
  • Ferrero, M.
  • Konstantinidis, E.
  • Hardwicke, T. E.

1/6/2018

  • iMarina

Causal illusions persist after extended training

  • Barberia, I., Rodríguez-Ferreiro, J., & Vadillo, M. A

1/7/2018

  • iMarina

The effects of tDCS on sport performance: a meta-analysis

  • Holgado, D., Vadillo, M. A., & Sanabria, D

1/7/2018

  • iMarina

Evidence of non-normative strategies when combining causes

  • Ortega-Castro, N., Barberia, I., & Vadillo, M. A

1/7/2018

  • iMarina

The efficacy of refutation texts to correct misconceptions among educators

  • Ferrero, M., Hardwicke, T. E., Konstantinidis, E., & Vadillo, M. A.

1/7/2018

  • iMarina

A multilevel predictive model for detecting social network users with depression

  • Wongkoblap A., Vadillo M., Curcin V.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (p. 130-135) - 24/7/2018

10.1109/ichi.2018.00022 View at source

Classifying depressed users with multiple instance learning from social network data

  • Wongkoblap A., Vadillo M., Curcin V.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (p. 436-436) - 24/7/2018

10.1109/ichi.2018.00088 View at source

Diagnostic error and information distortion

  • Nurek, M., Vadillo, M. A., & Kostopoulou, O

1/8/2018

  • iMarina

This researcher has no working papers.

This researcher has no technical reports.

La dudosa fiabilidad de la investigación en cognición implícita: problemas y soluciones

  • LUQUE RUIZ, DAVID (Investigador/a)
  • VADILLO NISTAL, MIGUEL ANGEL (Investigador principal (IP))

Period: 01-01-2018 - 31-12-2020

Type of funding: National

Amount of funding: 71390,00 Euros.

  • iMarina

Captación de talentos 5ª anualidad -

  • VADILLO NISTAL, MIGUEL ANGEL (Investigador principal (IP))

Period: 01-03-2021 - 28-02-2022

Type of funding: Regional

Amount of funding: 30000,00 Euros.

  • iMarina

Deconstruyendo la automaticidad

  • Shanks, David R. (Investigador/a)
  • Hernández Gutiérrez, David (Investigador/a)
  • VADILLO NISTAL, MIGUEL ANGEL (Investigador principal (IP))

Period: 01-09-2021 - 31-08-2024

Type of funding: National

Amount of funding: 96800,00 Euros.

  • iMarina

Multiple instance learning for detecting depression markers in social media content

  • Curcin, Vasa (Codirector)
  • VADILLO NISTAL, MIGUEL ANGEL (Codirector) Doctorando: Wongkoblap, Akkapon

1/11/2021

  • iMarina

Poniendo a prueba el aprendizaje implícito

  • VADILLO NISTAL, MIGUEL ANGEL (Director)
  • LUQUE RUIZ, DAVID (Director) Doctorando: Tamara Giménez Fernández

25/5/2022

  • iMarina

This researcher has no patents or software licenses.

Last data update: 3/19/24 1:01 AM