Items where faculty/department is "Faculty of Epidemiology and Population Health > Dept of Medical Statistics" and Year is 2022
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Barreto, APA, Filho, MAB, Duarte, LC, Cerqueira-Silva, T, Camelier, A, Tavares, NM, Barral-Netto, M, Boaventura, V and Lima, MCC (2022). Dataset for: Metabolic disorders and post-acute hospitalization in black/mixed-race patients with long COVID in Brazil: A cross-sectional analysis. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0276771.s011
Barrott, I, Barrett, J, Keogh, R, Sweeting, M and Stevens, D (2022). Landmarking: Analysis using Landmark Models. [Data Collection]. Comprehensive R Archive Network. https://cran.r-project.org/package=Landmarking
Beaumont, E (2022). Samvad Project Datasets. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002743.
Cerqueira-Silva, T, de Araujo Oliveira, V, Paixão, ES, Júnior, JB, Penna, GO, Werneck, GL, Pearce, N, Barreto, ML, Boaventura, VS and Barral-Netto, M (2022). Duration of protection of CoronaVac plus heterologous BNT162b2 booster in the Omicron period in Brazil. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6657862
Keddie, S, Bärenbold, O, Keogh, R and Bradley, J (2022). Stan models for diagnostic tests accuracy simulation; Accompaniment for Journal Article. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.6616490
Morris, TP, Walker, AS, Williamson, EJ and White, IR (2022). Additional file 1 of Planning a method for covariate adjustment in individually randomised trials: a practical guide. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19613608.v1
Morris, TP, Walker, AS, Williamson, EJ and White, IR (2022). Additional file 2 of Planning a method for covariate adjustment in individually randomised trials: a practical guide. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.19613611.v1
Pembrey, L, Cunha, S and Santorelli, G (2022). Clinical code lists – Asthma, Eczema and Hay fever. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003098.
Schwarzer, G, Carpenter, JR and Rücker, G (2022). metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis. [Data Collection]. The Comprehensive R Archive Network.