Clinical prediction models

Clinical prediction models

Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).

Dades bibliogràfiques
Autors principals:	Ranstam, J, Cook, J, Collins, G
Format:	Journal article
Idioma:	English
Publicat:	Wiley 2016

Ítems similars

Statistical models: an overview
per: Ranstam, J, et al.
Publicat: (2016)

Statistical models and confounding adjustment
per: Cook, J, et al.
Publicat: (2017)

Causal relationship and confounding in statistical models
per: Ranstam, J, et al.
Publicat: (2017)

Statistical analyses that provide an effect size are to be preferred
per: Cook, J, et al.
Publicat: (2016)

Overfitting
per: Cook, J, et al.
Publicat: (2016)

Spurious findings
per: Cook, J, et al.
Publicat: (2016)

Considerations for the design, analysis and presentation of in vivo studies
per: Cook, J, et al.
Publicat: (2016)

Editorial comment on Systematic review and simulation study of ignoring clustered data in surgical trials
per: Cook, J, et al.
Publicat: (2018)

Kaplan-Meier curve
per: Ranstam, J, et al.
Publicat: (2017)

Non-inferiority and equivalence trials
per: Ranstam, J, et al.
Publicat: (2017)

Quantiles
per: Ranstam, J, et al.
Publicat: (2022)

Immortal time bias
per: Ranstam, J, et al.
Publicat: (2022)

Number needed to treat
per: Ranstam, J, et al.
Publicat: (2022)

Risk of bias
per: Ranstam, J, et al.
Publicat: (2022)

The art of reporting numerical data
per: Cook, JA, et al.
Publicat: (2022)

Propensity scores
per: Turkiewicz, A, et al.
Publicat: (2022)

Some important deficiencies in the development, validation, and reporting of a prediction model
per: Cook, J, et al.
Publicat: (2015)

The rise of big clinical databases.
per: Cook, J, et al.
Publicat: (2015)

Predictive value of traction force measurement in vacuum extraction: Development of a multivariate prognostic model.
per: Kristina Pettersson, et al.
Publicat: (2017-01-01)

Time to restrict the use of p-values in Acta Orthopaedica
per: Jonas Ranstam
Publicat: (2019-01-01)

“There was no difference (p = 0.079)”
per: Jonas Ranstam
Publicat: (2021-07-01)

Hypothesis-generating and confirmatory studies, Bonferroni correction, and pre-specification of trial endpoints
per: Jonas Ranstam
Publicat: (2019-07-01)

Guide to presenting clinical prediction models for use in clinical settings.
per: Bonnett, L, et al.
Publicat: (2019)

Evidence of questionable research practices in clinical prediction models
per: White, N, et al.
Publicat: (2023)

Systematic reviews, meta-analyses, randomized trials, and observational studies
per: Jonas Ranstam, et al.
Publicat: (2022-01-01)

No bias of ignored bilaterality when analysing the revision risk of knee prostheses: Analysis of a population based sample of 44,590 patients with 55,298 knee prostheses from the national Swedish Knee Arthroplasty Register
per: Ranstam Jonas, et al.
Publicat: (2003-02-01)

Clinical prediction models and the multiverse of madness
per: Riley, RD, et al.
Publicat: (2023)

Clinical prediction models and the multiverse of madness
per: Richard D. Riley, et al.
Publicat: (2023-12-01)

Evidence of questionable research practices in clinical prediction models
per: Nicole White, et al.
Publicat: (2023-09-01)

Improved glycemic control with no weight increase in patients with type 2 diabetes after once-daily treatment with the long-acting glucagon-like peptide 1 analog liraglutide (NN2211): a 12-week, double-blind, randomized, controlled trial.
per: Madsbad, S, et al.
Publicat: (2004)

A systematic review of models to predict recruitment to multicentre clinical trials
per: Cook Andrew, et al.
Publicat: (2010-07-01)

Calculating the sample size required for developing a clinical prediction model
per: Riley, RD, et al.
Publicat: (2020)

Stability of clinical prediction models developed using statistical or machine learning methods
per: Riley, RD, et al.
Publicat: (2023)

Cardiovascular disease risk prediction in the UK: Which is the best risk prediction model?
per: Collins, G
Publicat: (2013)

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
per: Jenkins, DA, et al.
Publicat: (2021)

Targeted validation: validating clinical prediction models in their intended population and setting
per: Sperrin, M, et al.
Publicat: (2022)

Statistical concerns in the development of a prediction model
per: Collins, G
Publicat: (2016)

Comparing risk prediction models.
per: Collins, G, et al.
Publicat: (2012)

Statistical flaws in the development of a prediction model.
per: Collins, G
Publicat: (2015)

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
per: Evangelia, C, et al.
Publicat: (2019)