World's Best Scientists 2026 revealed!
Lifetime Data Analysis
H-index 8

Lifetime Data Analysis

1380-7870

Published by: Springer

https://www.springer.com/journal/10985

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 454 19 27 6

Additional Metrics

Number of Best Scientists*: 53
Documents by Best Scientists*: 64
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 57
SCIMAGO SJR: 0.66
Impact Factor: 1

Overview

Top Research Topics at Lifetime Data Analysis?

The main research concerns discussed in the journal are Statistics, Econometrics, Estimator, Covariate and Proportional hazards model. Research on Statistics presented in the journal focuses, in particular, on Regression analysis, Survival analysis, Nonparametric statistics, Censoring (statistics) and Event (probability theory). The Econometrics works featured in the journal incorporate elements from Hazard (logic), Inference, Regression and Parametric statistics.

Sample (statistics) and Linear regression are some topics wherein Estimator research discussed in Lifetime Data Analysis have an impact. Accelerated failure time model studies in the realm of Covariate interact with fields like Random effects model. The study on Proportional hazards model presented is investigated in conjunction with research in Hazard ratio.

  • Statistics (72.38%)
  • Econometrics (48.68%)
  • Estimator (30.90%)

What are the most cited papers published in the journal?

  • Frailty models for survival data (426 citations)
  • Covariates and random effects in a gamma process model with application to degradation and failure. (404 citations)
  • Modelling Accelerated Degradation Data Using Wiener Diffusion With A Time Scale Transformation (364 citations)

Research areas of the most cited articles at Lifetime Data Analysis:

The journal papers primarily focus on research topics in Statistics, Econometrics, Proportional hazards model, Estimator and Covariate. The journal papers dive deep in exploring the relationship between the study of Statistics and Hazard (logic). The most cited articles address concerns in Econometrics which are intertwined with other disciplines, such as Event (probability theory), Inference, Linear regression and Parametric statistics.

What topics the last edition of the journal is best known for?

  • Statistics
  • Normal distribution
  • Internal medicine

The previous edition focused in particular on these issues:

The journal tackles a plethora of topics, such as Estimator, Statistics, Covariate, Proportional hazards model and Parametric statistics. The work on Estimator tackled in the journal brings together disciplines like Event (probability theory), Inference, Econometrics, Consistency (statistics) and Accelerated failure time model. The research on Econometrics tackled can also make contributions to studies in the areas of Markov property, Landmark, Statistical power, Markov chain and Bootstrapping (statistics).

The research on Covariate featured in it combines topics in other fields like Regression analysis, Sample (statistics), Multivariate statistics and Renewal theory. While the primary focus in Lifetime Data Analysis is Proportional hazards model, it also dissects topics surrounding Survival analysis and Brier score, Outcome (probability) and Calibration (statistics) as a whole. Parametric statistics research featured in it incorporates concerns from various other topics such as Combinatorics, Maximum likelihood, Range (statistics), Mixture model and Piecewise.

The most cited articles from the last journal are:

  • A generalized theory of separable effects in competing event settings (2 citations)
  • Left-censored dementia incidences in estimating cohort effects (2 citations)
  • Factor copula models for right-censored clustered survival data. (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Lifetime Data Analysis (based on the number of publications) are:

  • Jianwen Cai (22 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Jianguo Sun (22 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Per Kragh Andersen (17 papers) absent at the last edition,
  • Liuquan Sun (14 papers) absent at the last edition,
  • Thomas H. Scheike (13 papers) published 1 paper at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Lifetime Data Analysis (based on the number of publications) are:

  • Harvard University (56 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • University of Copenhagen (44 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • University of North Carolina at Chapel Hill (35 papers) published 3 papers at the last edition the same number as at the previous edition,
  • University of Michigan (34 papers) absent at the last edition,
  • University of Waterloo (29 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.26% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.23% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 32.26% of all publications and 32.26% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Continuous and discrete-time survival prediction with neural networks.

    Håvard Kvamme;Ørnulf Borgan

    (2021)
    111 Citations
  • Subtleties in the interpretation of hazard contrasts.

    Torben Martinussen;Stijn Vansteelandt;Per Kragh Andersen

    (2020)
    79 Citations
  • A generalized theory of separable effects in competing event settings

    Mats J Stensrud;Miguel A Hernán;Eric J Tchetgen Tchetgen;James M Robins

    (2021)
    36 Citations
  • Tree-based modeling of time-varying coefficients in discrete time-to-event models

    Marie-Therese Puth;Gerhard Tutz;Nils Heim;Eva Münster

    (2020)
    11 Citations
  • Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis

    (2022)
    10 Citations
  • A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models.

    Niklas Maltzahn;Rune Hoff;Odd O Aalen;Ingrid S Mehlum

    (2021)
    7 Citations
  • An additive hazards cure model with informative interval censoring

    Shuying Wang;Chunjie Wang;Jianguo Sun

    (2021)
    6 Citations
  • Semiparametric regression analysis of doubly censored failure time data from cohort studies.

    Shuwei Li;Jianguo Sun;Tian Tian;Xia Cui

    (2020)
    6 Citations
  • Regression analysis of current status data with latent variables

    (2021)
    5 Citations
  • A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates

    (2022)
    5 Citations

Related Online Degrees & Career Pathways

For students interested in expanding their expertise beyond Mathematics, there are several valuable online degree options that can complement their skills and open new career opportunities. For those drawn to business and marketing, exploring an ms in digital marketing degree cost tuition fees can be a strategic choice. This degree combines analytical skills with modern marketing tactics, often available at affordable rates.

Business professionals may also consider pursuing a one year mba to fast-track leadership and management capabilities. These accelerated programs are designed to boost career growth while requiring less time commitment compared to traditional MBAs.

Additionally, for those interested in organizational dynamics, an online human resource management masters programs offer flexibility and a pathway into HR leadership roles, which benefit significantly from strong analytical and problem-solving skills developed in Mathematics.

Finally, students looking into healthcare can explore nursing online programs. These affordable and accessible programs provide a practical route into the nursing profession, where critical thinking and quantitative skills are highly valued.

Best Scientists Contributing to This Journal