Effect of a Selenium-Deficient Diet on Blood Values of T3 and T4 in Cows von CONTRERAS, P. A., MATAMOROS, R., MONROY, R., KRUZE, J., LEYAN, V., ANDAUR, M., BO¨HMWALD, H., WITTWER, F.

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Concentraciones plasmaticas de testosterona maxima en carneros como respuesta a la aplicacion de GnRH von Andaur, M, Santiani, A, Sepúlveda, N

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Actividad de glutation peroxidasa (GSH-Px) en sangre de bovinos a pastoreo de la IX Región, Chile y su relación con la concentración de selenio en el forraje von WITTWER, F., ARANEDA, P., CEBALLOS, A., CONTRERAS, P.A., ANDAUR, M., BÖHMWALD, H.

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Concentraciones séricas de triyodotironina, tiroxina y perfil lipídico en bovinos lecheros alimentados con una ración con bajo contenido de selenio von Matamoros, R, Ceballos, A, Contreras, PA, Quiroga, C, Andaur, M, Wittwer, F

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Hormonas de utilidad diagnóstica en Medicina Veterinaria von MATAMOROS, R, GOMEZ, C, ANDAUR, M

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Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models von Andaur Navarro, Constanza L., Damen, Johanna A.A., van Smeden, Maarten, Takada, Toshihiko, Nijman, Steven W.J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D., Moons, Karel G.M., Hooft, Lotty

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

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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 intellig... von 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

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

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Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models von 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

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

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SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models von Andaur Navarro, Constanza L., Damen, Johanna A.A., Ghannad, Mona, Dhiman, Paula, van Smeden, Maarten, Reitsma, Johannes B., Collins, Gary S., Riley, Richard D., Moons, Karel G.M., Hooft, Lotty

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Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed von Levis, Brooke, Snell, Kym I E, Damen, Johanna A A, Hattle, Miriam, Ensor, Joie, Dhiman, Paula, Andaur Navarro, Constanza L, Takwoingi, Yemisi, Whiting, Penny F, Debray, Thomas P A, Reitsma, Johannes B, Moons, Karel G M, Collins, Gary S, Riley, Richard D

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Hormonas de utilidad diagnóstica en Medicina Veterinaria von MATAMOROS, GOMEZ, ANDAUR

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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal von Wynants, Laure, Van Calster, Ben, Collins, Gary S, Riley, Richard D, Heinze, Georg, Schuit, Ewoud, Albu, Elena, Arshi, Banafsheh, Bellou, Vanesa, Bonten, Marc M J, Dahly, Darren L, Damen, Johanna A, Debray, Thomas P A, de Jong, Valentijn M T, De Vos, Maarten, Dhiman, Paula, Ensor, Joie, Gao, Shan, Haller, Maria C, Harhay, Michael O, Henckaerts, Liesbet, Heus, Pauline, Hoogland, Jeroen, Hudda, Mohammed, Jenniskens, Kevin, Kammer, Michael, Kreuzberger, Nina, Lohmann, Anna, Levis, Brooke, Luijken, Kim, Ma, Jie, Martin, Glen P, McLernon, David J, Navarro, Constanza L Andaur, Reitsma, Johannes B, Sergeant, Jamie C, Shi, Chunhu, Skoetz, Nicole, Smits, Luc J M, Snell, Kym I E, Sperrin, Matthew, Spijker, René, Steyerberg, Ewout W, Takada, Toshihiko, Tzoulaki, Ioanna, van Kuijk, Sander M J, van Bussel, Bas C T, van der Horst, Iwan C C, Reeve, Kelly, van Royen, Florien S, Verbakel, Jan Y, Wallisch, Christine, Wilkinson, Jack, Wolff, Robert, Hooft, Lotty, Moons, Karel G M, van Smeden, Maarten

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Concentraciones séricas de triyodotironina, tiroxina y perfil lipídico en bovinos lecheros alimentados con una ración con bajo contenido de selenio von Matamoros, Ceballos, Contreras, PA, Quiroga, Andaur, Wittwer

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Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques von Andaur Navarro, Constanza L, Damen, Johanna A A G, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel GM, Hooft, Lotty

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

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Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal von Wynants, Laure, Van Calster, Ben, Collins, Gary S., Riley, Richard D., Heinze, Georg, Schuit, Ewoud, Albu, Elena, Arshi, Banafsheh, Bellou, Vanesa, Bonten, Marc M. J., Dahly, Darren L., Damen, Johanna A., Debray, Thomas P. A., de Jong, Valentijn M. T., De Vos, Maarten, Dhiman, Paula, Ensor, Joie, Gao, Shan, Haller, Maria C., Harhay, Michael O., Henckaerts, Liesbet, Heus, Pauline, Hoogland, Jeroen, Hudda, Mohammed, Jenniskens, Kevin, Kammer, Michael, Kreuzberger, Nina, Lohmann, Anna, Levis, Brooke, Luijken, Kim, Ma, Jie, Martin, Glen P., McLernon, David J., Andaur Navarro, Constanza L., Reitsma, Johannes B., Sergeant, Jamie C., Shi, Chunhu, Skoetz, Nicole, Smits, Luc J. M., Snell, Kym I. E., Sperrin, Matthew, Spijker, Rene, Steyerberg, Ewout W., Takada, Toshihiko, Tzoulaki, Ioanna, van Kuijk, Sander M. J., van Bussel, Bas C. T., van der Horst, Iwan C. C., Reeve, Kelly, van Royen, Florien S., Verbakel, Jan Y., Wallisch, Christine, Wilkinson, Jack, Wolff, Robert, Hooft, Lotty, Moons, Karel G. M., van Smeden, Maarten

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

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