Detalhe da pesquisa
1.
Multiple imputation of incomplete multilevel data using Heckman selection models.
Stat Med
; 43(3): 514-533, 2024 02 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-38073512
2.
Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines.
BMC Med Res Methodol
; 24(1): 91, 2024 Apr 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38641771
3.
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.
Artigo
em Inglês
| MEDLINE | ID: mdl-37311563
4.
Assessing heterogeneity of electronic health-care databases: A case study of background incidence rates of venous thromboembolism.
Pharmacoepidemiol Drug Saf
; 32(9): 1032-1048, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37068170
5.
Developing more generalizable prediction models from pooled studies and large clustered data sets.
Stat Med
; 40(15): 3533-3559, 2021 07 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-33948970
6.
Sample size considerations and predictive performance of multinomial logistic prediction models.
Stat Med
; 38(9): 1601-1619, 2019 04 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-30614028
7.
Adjusting for misclassification of an exposure in an individual participant data meta-analysis.
Res Synth Methods
; 14(2): 193-210, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36200133
8.
Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies.
J Clin Epidemiol
; 145: 29-38, 2022 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-35045316
9.
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis.
BMJ
; 378: e069881, 2022 07 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35820692
10.
Measurement error in meta-analysis (MEMA)-A Bayesian framework for continuous outcome data subject to non-differential measurement error.
Res Synth Methods
; 12(6): 796-815, 2021 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-34312994
11.
Current trends in the application of causal inference methods to pooled longitudinal observational infectious disease studies-A protocol for a methodological systematic review.
PLoS One
; 16(4): e0250778, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33914795
12.
Current trends in the application of causal inference methods to pooled longitudinal non-randomised data: a protocol for a methodological systematic review.
BMJ Open
; 11(11): e052969, 2021 11 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34772754
13.
Network Meta-analysis for the Diagnostic Approach to Pathologic Nipple Discharge.
Clin Breast Cancer
; 20(6): e723-e748, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32665191
14.
Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example.
Res Synth Methods
; 11(2): 148-168, 2020 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-31759339
15.
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
BMJ
; 369: m1328, 2020 04 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32265220
16.
Evidence synthesis in prognosis research.
Diagn Progn Res
; 3: 13, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31338426
17.
Dealing with missing data using the Heckman selection model: methods primer for epidemiologists.
Int J Epidemiol
; 52(1): 5-13, 2023 02 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-36610459
18.
A few things to consider when deciding whether or not to conduct underpowered research.
J Clin Epidemiol
; 144: 194-197, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-34875377