Plasma gonadotrophin responses in beef cows to progesterone plus prostaglandin treatment [Progesterone releasing intravaginal devices, artificial insemination] von Peters A.R, Kingsley S.R, Riley G.M

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Plasma gonadotrophin responses in beef cows two progesterone plus prostaglandin treatment von Peters, A.R., Kingsley, S.R., Riley, G.M.

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Is the Cow a Seasonal Breeder? von Peters, A.R., Riley, G.M.

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Experimental induction of cervical lymphadenitis in guinea-pigs with group C streptococci von Olson, L.D, Schueler, R.L, Riley, G.M, Morehouse, L.G

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The application of a silver carbonate stain for the diagnosis of uterine cancer by the vaginal smear method von Yue, H.S., Riley, G.M., Miller, Norman F., Scharenberg, K.

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Prognosis Research Strategy (PROGRESS) 3: prognostic model research von Steyerberg, Ewout W, Moons, Karel G M, van der Windt, Danielle A, Hayden, Jill A, Perel, Pablo, Schroter, Sara, Riley, Richard D, Hemingway, Harry, Altman, Douglas G

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Detection of Characteristic Differences in the Irradiation Sensitivity of Four Human Cancer Cell Strains von Ludovici, Peter P., Pock, Roswitha A., Christian, Robert T., Riley, Gardner M., Miller, Norman F.

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Prognosis Research Strategy (PROGRESS) 2: prognostic factor research von Riley, Richard D, Hayden, Jill A, Steyerberg, Ewout W, Moons, Karel G M, Abrams, Keith, Kyzas, Panayiotis A, Malats, Núria, Briggs, Andrew, Schroter, Sara, Altman, Douglas G, Hemingway, Harry

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Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes von Riley, Richard D., Snell, Kym I.E., Ensor, Joie, Burke, Danielle L., Harrell, Frank E., Moons, Karel G.M., Collins, Gary S.

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Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes von Riley, Richard D, Snell, Kym IE, Ensor, Joie, Burke, Danielle L, Harrell Jr, Frank E, Moons, Karel GM, Collins, Gary S

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Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning... von Riley, Richard D., Debray, Thomas P.A., Fisher, David, Hattle, Miriam, Marlin, Nadine, Hoogland, Jeroen, Gueyffier, Francois, Staessen, Jan A., Wang, Jiguang, Moons, Karel G.M., Reitsma, Johannes B., Ensor, Joie

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Calculating the sample size required for developing a clinical prediction model von Riley, Richard D, Ensor, Joie, Snell, Kym I E, Harrell, Frank E, Martin, Glen P, Reitsma, Johannes B, Moons, Karel G M, Collins, Gary, van Smeden, Maarten

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Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use von Debray, Thomas P A, Riley, Richard D, Rovers, Maroeska M, Reitsma, Johannes B, Moons, Karel G M

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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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A guide to systematic review and meta-analysis of prognostic factor studies von Riley, Richard D, Moons, Karel G M, Snell, Kym I E, Ensor, Joie, Hooft, Lotty, Altman, Douglas G, Hayden, Jill, Collins, Gary S, Debray, Thomas P A

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External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges von Riley, Richard D, Ensor, Joie, Snell, Kym I E, Debray, Thomas P A, Altman, Doug G, Moons, Karel G M, Collins, Gary S

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A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis von Debray, Thomas P.A., Moons, Karel G.M., Ahmed, Ikhlaaq, Koffijberg, Hendrik, Riley, Richard David

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A guide to systematic review and meta-analysis of prediction model performance von Debray, Thomas P A, Damen, Johanna A A G, Snell, Kym I E, Ensor, Joie, Hooft, Lotty, Reitsma, Johannes B, Riley, Richard D, Moons, Karel G M

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Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols von Peat, George, Riley, Richard D, Croft, Peter, Morley, Katherine I, Kyzas, Panayiotis A, Moons, Karel G M, Perel, Pablo, Steyerberg, Ewout W, Schroter, Sara, Altman, Douglas G, Hemingway, Harry

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Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model von Snell, Kym I.E, Hua, Harry, Debray, Thomas P.A, Ensor, Joie, Look, Maxime P, Moons, Karel G.M, Riley, Richard D

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