H. Kim

Statistics and Probability · Digestive and Liver Disease · 2010–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Peter C. Austin
  2. Elizabeth A. Stuart
  3. Ben B. Hansen
  4. D. Westreich

Papers from H. Kim's perspective

Ordered by how strongly the researchers H. Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Matching methods for causal inference: A review and a look forward
  2. Prevalence of hepatic steatosis in an urban population in the United States: Impact of ethnicity (Hepatology)
  3. Misunderstandings between experimentalists and observationalists about causal inference
  4. The prognostic analogue of the propensity score
  5. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples (Statistics in Medicine)
  6. Improving propensity score weighting using machine learning (Statistics in Medicine)
  7. Propensity score estimation: machine learning and classification methods as alternatives to logistic regression
  8. Decreased survival of subjects with elevated liver function tests during a 28‐year follow‐up (Hepatology)
  9. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C (Hepatology)
  10. Systematic review: the epidemiology and natural history of non‐alcoholic fatty liver disease and non‐alcoholic steatohepatitis in adults (Alimentary Pharmacology and Therapeutics)

Their papers