Kitty J. Jager
Statistics and Probability · 2009–2021
A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 32 citations into it
- Economics and Econometrics — 18 citations into it
- Cardiology and Cardiovascular Medicine — 13 citations into it
- Epidemiology — 8 citations into it
- Endocrinology, Diabetes and Metabolism — 6 citations into it
Whom Kitty J. Jager trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nancy R. Cook
- Douglas G. Altman
- Patrick Royston
- Karel G. M. Moons
- Ewout W. Steyerberg
- Gary S. Collins
- Frank B Hu
- Peter C. Austin
Papers from Kitty J. Jager's perspective
Ordered by how strongly the researchers Kitty J. Jager trusts endorse each paper. Same corpus, a different order for every researcher.
- Risk prediction models: II. External validation, model updating, and impact assessment (Heart)
- External validation of a Cox prognostic model: principles and methods (BMC Medical Research Methodology)
- Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. (Clinical Chemistry)
- What do we mean by validating a prognostic model? (Statistics in Medicine)
- Use and Misuse of the Receiver Operating Characteristic Curve in Risk Prediction (Circulation)
- Sample size considerations for the external validation of a multivariable prognostic model: a resampling study (Statistics in Medicine)
- Constructing inverse probability weights for marginal structural models. (American Journal of Epidemiology)
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations
- Prognosis and prognostic research: validating a prognostic model (British medical journal)
Their papers
- An introduction to inverse probability of treatment weighting in observational research (2021) — 789 citations
- External validation of prognostic models: what, why, how, when and where? (2020) — 719 citations
- A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. (2019) — 617 citations
- A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. (2019) — 897 citations
- Sex and gender disparities in the epidemiology and outcomes of chronic kidney disease (2018) — 778 citations
- Chronic kidney disease (2017) — 691 citations
- When do we need competing risks methods for survival analysis in nephrology? (2013) — 628 citations
- Cardiovascular and noncardiovascular mortality among patients starting dialysis. (2009) — 739 citations