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dr. C.L. (Constanza) Andaur Navarro

dr. C.L. (Constanza) Andaur Navarro

Assistant Professor
dr. C.L. (Constanza) Andaur Navarro
  • Julius Center, dept. Data Science & Biostatistics

Research Output (12)

QUALITY OF MACHINE LEARNING PREDICTION MODELS IN HEALTHCARE

Andaur Navarro Constanza 16 May 2023, 281 p.

Overinterpretation of findings in machine learning prediction model studies in oncology:a systematic review

Dhiman Paula, Ma Jie, Andaur Navarro Constanza L, Speich Benjamin, Bullock Garrett, Damen Johanna AA, Hooft Lotty, Kirtley Shona, Riley Richard D, Van Calster Ben, Moons Karel Gm, Collins Gary S 17 Mar 2023, In: Journal of Clinical Epidemiology. 157 , p. 120-133 14 p.

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models

Andaur Navarro Constanza L, Damen Johanna Aa, van Smeden Maarten, Takada Toshihiko, Nijman Steven Wj, Dhiman Paula, Ma Jie, Collins Gary S, Bajpai Ram, Riley Richard D, Moons Karel Gm, Hooft Lotty 24 Nov 2022, In: Journal of Clinical Epidemiology. 154 , p. 8-22 15 p.

Risk of bias of prognostic models developed using machine learning:a systematic review in oncology

Dhiman Paula, Ma Jie, Andaur Navarro Constanza L, Speich Benjamin, Bullock Garrett, Damen Johanna A A, Hooft Lotty, Kirtley Shona, Riley Richard D, Van Calster Ben, Moons Karel G M, Collins Gary S 7 Jul 2022, In: Diagnostic and Prognostic Research. 6

Methodological conduct of prognostic prediction models developed using machine learning in oncology:a systematic review

Dhiman Paula, Ma Jie, Andaur Navarro Constanza L., Speich Benjamin, Bullock Garrett, Damen Johanna A.A., Hooft Lotty, Kirtley Shona, Riley Richard D., Van Calster Ben, Moons Karel G.M., Collins Gary S. 8 Apr 2022, In: BMC Medical Research Methodology. 22

Completeness of reporting of clinical prediction models developed using supervised machine learning:a systematic review

Andaur Navarro Constanza L, Damen Johanna A A, Takada Toshihiko, Nijman Steven W J, Dhiman Paula, Ma Jie, Collins Gary S, Bajpai Ram, Riley Richard D, Moons Karel G M, Hooft Lotty Jan 2022, In: BMC Medical Research Methodology. 22

Risk of bias in studies on prediction models developed using supervised machine learning techniques:Systematic review

Andaur Navarro Constanza L., Damen Johanna A.A., Takada Toshihiko, Nijman Steven W.J., Dhiman Paula, Ma Jie, Collins Gary S., Bajpai Ram, Riley Richard D., Moons Karel G.M., Hooft Lotty 20 Oct 2021, In: The BMJ. 375 , p. 1-9

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

Collins Gary S, Dhiman Paula, Andaur Navarro Constanza L, Ma Jie, Hooft Lotty, Reitsma Johannes B, Logullo Patricia, Beam Andrew L, Peng Lily, Van Calster Ben, van Smeden Maarten, Riley Richard D, Moons Karel Gm 9 Jul 2021, In: BMJ Open. 11 , p. 1-7

Associations Between Prenatal, Perinatal, and Early Childhood Vitamin D Status and Risk of Dental Caries at 6 Years

Navarro Constanza L Andaur, Grgic Olja, Trajanoska Katerina, van der Tas Justin T, Rivadeneira Fernando, Wolvius Eppo B, Voortman Trudy, Kragt Lea 1 Jul 2021, In: The Journal of nutrition. 151 , p. 1993-2000 8 p.

Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved

Dhiman Paula, Ma Jie, Navarro Constanza Andaur, Speich Benjamin, Bullock Garrett, Damen Johanna Aa, Kirtley Shona, Hooft Lotty, Riley Richard D, Van Calster Ben, Moons Karel G M, Collins Gary S 29 Jun 2021, In: Journal of Clinical Epidemiology. 138 , p. 60-72 13 p.

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