Search Results - Dhiman, Paula

Availability and Quality of Coronary Heart Disease Family History in Primary Care Medical Records: Implications for Cardiovascular Risk Assessment by Dhiman, Paula, Kai, Joe, Horsfall, Laura, Walters, Kate, Qureshi, Nadeem

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Does bone mineral density improve the predictive accuracy of fracture risk assessment? A prospective cohort study in Northern Denmark by Dhiman, Paula, Andersen, Stig, Vestergaard, Peter, Masud, Tahir, Qureshi, Nadeem

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Antidepressant use and risk of adverse outcomes in older people: population based cohort study by Coupland, Carol, Dhiman, Paula, Morriss, Richard, Arthur, Antony, Barton, Garry, Hippisley-Cox, Julia

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A review found inadequate reporting of case–control studies of risk factors for pancreatic cancer by MacCarthy, Angela, Dhiman, Paula, Kirtley, Shona, Logullo, Patricia, Copsey, Bethan, Collins, Gary S.

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GoodReports: developing a website to help health researchers find and use reporting guidelines by Struthers, Caroline, Harwood, James, de Beyer, Jennifer Anne, Dhiman, Paula, Logullo, Patricia, Schlüssel, Michael

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Psychological morbidity and return to work after injury: multicentre cohort study by Kendrick, Denise, Dhiman, Paula, Kellezi, Blerina, Coupland, Carol, Whitehead, Jessica, Beckett, Kate, Christie, Nicola, Sleney, Judith, Barnes, Jo, Joseph, Stephen, Morriss, Richard

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Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved by 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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Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques by 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 in studies on prediction models developed using supervised machine learning techniques: systematic review by 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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Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review by 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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Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review by 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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Risk of bias of prognostic models developed using machine learning: a systematic review in oncology by 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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Multiple cereblon genetic changes are associated with acquired resistance to lenalidomide or pomalidomide in multiple myeloma by Gooding, Sarah, Ansari-Pour, Naser, Towfic, Fadi, Ortiz Estévez, María, Chamberlain, Philip P., Tsai, Kao-Tai, Flynt, Erin, Hirst, Marissa, Rozelle, Dan, Dhiman, Paula, Neri, Paola, Ramasamy, Karthik, Bahlis, Nizar, Vyas, Paresh, Thakurta, Anjan

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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... by 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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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal by Wynants, Laure, Van Calster, Ben, Collins, Gary S, Riley, Richard D, Heinze, Georg, Schuit, Ewoud, Bonten, Marc M J, Damen, Johanna A A, Debray, Thomas P A, De Vos, Maarten, Dhiman, Paula, Haller, Maria C, Harhay, Michael O, Henckaerts, Liesbet, Kreuzberger, Nina, Lohmann, Anna, Luijken, Kim, Ma, Jie, 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, René, Steyerberg, Ewout W, Takada, Toshihiko, van Kuijk, Sander M J, van Royen, Florien S, Wallisch, Christine, Hooft, Lotty, Moons, Karel G M, van Smeden, Maarten

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