A. Dighe
Molecular Biology · with Alter · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 12 citations into it
- Statistics and Probability — 8 citations into it
- Artificial Intelligence — 5 citations into it
Whom A. Dighe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from A. Dighe's perspective
Ordered by how strongly the researchers A. Dighe trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-task Gaussian Process Prediction
- MICE: Multivariate Imputation by Chained Equations in R
- Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays (bioRxiv)
- C-reactive protein levels in the early stage of COVID-19 (Médecine et maladies infectieuses)
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
- Multiple Imputation by Chained Equations: What is it and how does it work? (International Journal of Methods in Psychiatric Research)
- Statistical Analysis With Missing Data
- A multivariate technique for multiply imputing missing values using a sequence of regression models
- Multiple imputation of discrete and continuous data by fully conditional specification
- SPECIAL SERIES: ORIGINAL ARTICLES Using the outcome for imputation of missing predictor values was preferred
Their papers
- 3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data (2017) — 97 citations
- COVID-19 neutralizing antibodies predict disease severity and survival (2020) — 682 citations