Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach

Article Properties
  • Language
    English
  • Publication Date
    1994/09/01
  • Indian UGC (journal)
  • Refrences
    26
  • Citations
    11
  • Daniel F. Heitjan a Center for Biostatistics & Epidemiology , Pennsylvania State University College of Medicine , Hershey , PA , 17033
  • J. Richard Landis a Center for Biostatistics & Epidemiology , Pennsylvania State University College of Medicine , Hershey , PA , 17033
Cite
Heitjan, Daniel F., and J. Richard Landis. “Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach”. Journal of the American Statistical Association, vol. 89, no. 427, 1994, pp. 750-9, https://doi.org/10.1080/01621459.1994.10476808.
Heitjan, D. F., & Landis, J. R. (1994). Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach. Journal of the American Statistical Association, 89(427), 750-759. https://doi.org/10.1080/01621459.1994.10476808
Heitjan, Daniel F., and J. Richard Landis. “Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach”. Journal of the American Statistical Association 89, no. 427 (1994): 750-59. https://doi.org/10.1080/01621459.1994.10476808.
Heitjan DF, Landis JR. Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach. Journal of the American Statistical Association. 1994;89(427):750-9.
Refrences
Title Journal Journal Categories Citations Publication Date
Hypertension Physiopathology and Treatment, 1983
Heart Disease: A Textbook of Cardiovascular Medicine 1980
“The Fifth Report of the Joint National Committee on Detection, Evaluation, and Treatment of High Blood Pressure (JNC V),” 1992
Vital and Health Statistics 1986
Introduction to Variance Estimation 1985
Citations
Title Journal Journal Categories Citations Publication Date
Estimating the optimal timing of surgery by imputing potential outcomes

Statistics in Medicine
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Medicine: Medicine (General)
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General)
  • Social Sciences
2021
Development of a common patient assessment scale across the continuum of care: A nested multiple imputation approach The Annals of Applied Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2019
Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII Communications in Statistics - Simulation and Computation
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2 2017
Tuning multiple imputation by predictive mean matching and local residual draws BMC Medical Research Methodology
  • Medicine: Medicine (General)
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General)
275 2014
Bayesian analysis to correct false-negative errors in capture–recapture photo-ID abundance estimates Brazilian Journal of Probability and Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2009
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 9 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Alternative Paradigms for the Analysis of Imputed Survey Data and was published in 1996. The most recent citation comes from a 2021 study titled Estimating the optimal timing of surgery by imputing potential outcomes. This article reached its peak citation in 1999, with 2 citations. It has been cited in 7 different journals, 14% of which are open access. Among related journals, the Statistics in Medicine cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year