Lifetime Data Analysis - h5 Index Rating

The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles. 

In 2020, Lifetime Data Analysis received the following ratings:

h5-Index	h5-Median
14	17

Lifetime Data Analysis highlights some of these top cited articles:

• Estimating the concordance probability in a survival analysis with a discrete number of risk groups (this opens in a new tab)
  G Heller, Q Mo
  Lifetime Data Analysis 22.2 (May 2015)
   

• Conditional screening for ultra-high dimensional covariates with survival outcomes (this opens in a new tab)
  HG Hong, J Kang, Y Li
  Lifetime Data Analysis 24.1 (December 2016)
   

• Subtleties in the interpretation of hazard contrasts (this opens in a new tab)
  T Martinussen, S Vansteelandt, PK Andersen
  Lifetime Data Analysis 26.4 (July 2020)
   

• Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective (this opens in a new tab)
  X Bai, AA Tsiatis, W Lu, R Song
  Lifetime Data Analysis 23.4 (August 2016)
   

• Defining causal mediation with a longitudinal mediator and a survival outcome (this opens in a new tab)
  V Didelez
  Lifetime Data Analysis 25.4 (September 2018)