Detalles de la búsqueda
1.
Global disease burden of and risk factors for acute lower respiratory infections caused by respiratory syncytial virus in preterm infants and young children in 2019: a systematic review and meta-analysis of aggregated and individual participant data.
Lancet
; 403(10433): 1241-1253, 2024 Mar 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-38367641
2.
Association between pregnancy-related complications and development of type 2 diabetes and hypertension in women: an umbrella review.
BMC Med
; 22(1): 66, 2024 Feb 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-38355631
3.
Discontinuation of anti-tumour necrosis factor alpha treatment owing to blood test abnormalities, and cost-effectiveness of alternate blood monitoring strategies.
Br J Dermatol
; 190(4): 559-564, 2024 Mar 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37931161
4.
Calibration plots for multistate risk predictions models.
Stat Med
; 2024 May 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-38720592
5.
Development and external validation of the eFalls tool: a multivariable prediction model for the risk of ED attendance or hospitalisation with a fall or fracture in older adults.
Age Ageing
; 53(3)2024 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38520142
6.
Clinical prediction models and the multiverse of madness.
BMC Med
; 21(1): 502, 2023 12 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-38110939
7.
Propensity-based standardization to enhance the validation and interpretation of prediction model discrimination for a target population.
Stat Med
; 42(19): 3508-3528, 2023 08 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-37311563
8.
Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time.
Stat Med
; 42(27): 5007-5024, 2023 Nov 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-37705296
9.
Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques.
Stat Med
; 42(18): 3184-3207, 2023 08 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37218664
10.
Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review.
BMC Med Res Methodol
; 23(1): 188, 2023 08 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-37598153
11.
Stability of clinical prediction models developed using statistical or machine learning methods.
Biom J
; 65(8): e2200302, 2023 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-37466257
12.
Global Disease Burden of Respiratory Syncytial Virus in Preterm Children in 2019: A Systematic Review and Individual Participant Data Meta-Analysis Protocol.
J Infect Dis
; 226(Suppl 1): S135-S141, 2022 08 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-35478251
13.
A Guide to Estimating the Reference Range From a Meta-Analysis Using Aggregate or Individual Participant Data.
Am J Epidemiol
; 191(5): 948-956, 2022 03 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-35102410
14.
Predicting relapse or recurrence of depression: systematic review of prognostic models.
Br J Psychiatry
; 221(2): 448-458, 2022 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35048843
15.
Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome.
Stat Med
; 41(24): 4822-4837, 2022 10 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-35932153
16.
Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome.
Stat Med
; 41(7): 1280-1295, 2022 03 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-34915593
17.
Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials.
BMC Med Res Methodol
; 22(1): 186, 2022 07 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-35818035
18.
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review.
BMC Med Res Methodol
; 22(1): 12, 2022 Jan 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35026997
19.
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.
BMC Med Res Methodol
; 22(1): 101, 2022 04 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35395724
20.
Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysis.
PLoS Med
; 18(7): e1003686, 2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-34228732