Paul Meier (statistician)

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Paul Meier
Born(1924-07-24)July 24, 1924
DiedAugust 7, 2011(2011-08-07) (aged 87)
ResidenceNew York City, New York, U.S.
Alma materOberlin College
Known forStatistics, experimental design
Scientific career
FieldsStatistician
InstitutionsPrinceton
Johns Hopkins
Univ. Chicago
Columbia
Doctoral advisorJohn Tukey

Paul Meier (July 24, 1924 – August 7, 2011)[1] was a statistician who promoted the use of randomized trials in medicine.[2][3] He is also known for introducing, with Edward L. Kaplan, the Kaplan–Meier estimator,[4][5] a tool for measuring how many patients survive a medical treatment.[6]

Bibliography[edit]

  • Meier, Paul (1952), Weighted means and lattice designs (Ph.D. Thesis ), Princeton University
  • Meier, Paul (1953), "Variance of a Weighted Mean", Biometrics, 9 (1): 59–73, doi:10.2307/3001633, JSTOR 3001633
  • Meier, Paul (1954), "Analysis of Simple Lattice Designs with Unequal Sets of Replications", Journal of the American Statistical Association, 49 (268): 786–813, doi:10.2307/2281540, JSTOR 2281540
  • Meier P (1957), "Safety testing of a poliomyelitis vaccine", Science, 125 (3257): 1067–71, doi:10.1126/science.125.3257.1067, PMC 1824172, PMID 20325578
  • Lasagna L, Meier P (1958), "Clinical evaluation of new drugs", Annual Review of Medicine, 9: 347–54, doi:10.1146/annurev.me.09.020158.002023, PMID 13534287
  • Kaplan, E. L.; Meier, Paul (1958), "Nonparametric estimation from incomplete observations", Journal of the American Statistical Association, 53 (282): 457–481, doi:10.2307/2281868, JSTOR 2281868
  • Meier, Paul (1971), "Report of the Evaluation Committee on the University of Chicago Department of Statistics", The American Statistician, 25 (3): 17–24, doi:10.2307/2683317, JSTOR 2683317
  • Meier, Paul (1975), "Statistics and medical experimentation", Biometrics, 31 (2): 511–529, doi:10.2307/2529434, JSTOR 2529434
  • Meier, Paul (1976), "Estimation of a distribution function from incomplete observations", Perspectives in Probability and Statistics, In Honor of M. S. Bartlett, Academic Press, pp. 67–88
  • Meier, Paul (1977), "The biggest health experiment ever: The 1954 field trial of the Salk Poliomyelitis vaccine", Statistics: A Guide to the Study of the Biological and Health Sciences, Holden-Day Inc, pp. 88–100
  • Meier, Paul (1979), "Terminating a trial: The ethical problem", Clinical Pharmacology and Therapeutics, 25 (5part2): 633–640, doi:10.1002/cpt1979255part2633
  • Meier, Paul; Zabell, Sandy (1980), "Benjamin Pierce and the Howland will", Journal of the American Statistical Association, 75 (371): 497–506, doi:10.2307/2287637, JSTOR 2287637
  • Meier, Paul (1981), "Jerome Cornfield and the methodology of clinical trials", Controlled Clinical Trials, 1 (4): 339–345, doi:10.1016/0197-2456(81)90038-6
  • Meier, Paul (1981), "Stratification in the design of a clinical trial", Controlled Clinical Trials, 1 (4): 355–361, doi:10.1016/0197-2456(81)90040-4
  • Meier, Paul (1982), "Current research in statistical methodology for clinical trials", Biometrics -- Proceedings of Current Topics in Biostatistics and Epidemiology: A Memorial Symposium in Honor of Jerome Cornfield, The Biometric Society, pp. 141–150
  • Meier, Paul (1983), Shapiro, Stanley H.; Louis, Thomas A. (eds.), "Statistical analysis of clinical trials", Clinical Trials. Issues and Approaches, Marcel Dekker, pp. 155–189
  • Meier, Paul (1984), "Commentary on evaluation of therapies", Statistics in Medicine, 3 (4): 473–475, doi:10.1002/sim.4780030431
  • Meier, Paul (1984), Rao, Poduri S. R. S.; Sedransk, Joseph (eds.), "William G. Cochran and public health", W. G. Cochran's Impact on Statistics, John Wiley & Sons, pp. 73–81
  • Gilliland, Dennis C.; Meier, Paul (1986), DeGroot, Morris H.; Fienberg, Stephen E.; Kadane, Joseph B. (eds.), "The probability of reversal in contested elections", Statistics and the Law, John Wiley & Sons, pp. 391–411
  • Meier, Paul (1986), "Damned liars and expert witnesses", Journal of the American Statistical Association, 81 (394): 269–276, doi:10.2307/2289214, JSTOR 2289214
  • Meier, Paul; Sacks, Jerome; Zabell, Sandy L. (1986), DeGroot, Morris H.; Fienberg, Stephen E.; Kadane, Joseph B. (eds.), "What happened in Hazelwood: Statistics, employment discrimination, and the 80 percent rule", Statistics and the Law, John Wiley & Sons, pp. 1–40
  • Beach, Michael L.; Meier, Paul (1989), "Choosing covariates in the analysis of clinical trials", Controlled Clinical Trials, 10 (4): 161–175, doi:10.1016/0197-2456(89)90055-X
  • Meier, Paul (1990), "Polio trial: An early efficient clinical trial", Statistics in Medicine, 9 (1–2): 13–16, doi:10.1002/sim.4780090107
  • Meier, Paul (1990), "The experimental evaluation of relative risk", Chance, 3 (4): 28–32, doi:10.1080/09332480.1990.11882393
  • Meier, Paul; Dinardo, Lawrence C. (1990), "Simpson's paradox in employment litigation", ASA Proceedings of the Social Statistics Section, American Statistical Association, pp. 66–69
  • Meier, Paul (1993), "Illusion and reality in the analysis of clinical trials", Statistics in Medicine, 12 (15–16): 1519, doi:10.1002/sim.4780121518
  • Meier, Paul; Karrison, Theodore; Chappell, Rick; Xie, Hui (2004), "The Price of Kaplan-Meier", Journal of the American Statistical Association, 99 (467): 890–896, doi:10.1198/016214504000001259

References[edit]

  1. ^ Hevesi, Dennis (August 12, 2011), "Paul Meier, Statistician Who Revolutionized Medical Trials, Dies at 87", The New York Times
  2. ^ David Brown (August 10, 2011). "Paul Meier, biostatistician and co-inventor of a famous graph, dies at 87". Washington Post.
  3. ^ "Paul Meier, Obituary". The Daily Telegraph. October 2, 2011.
  4. ^ Kaplan, E. L.; Meier, P.: Nonparametric estimation from incomplete observations. J. Amer. Statist. Assn. 53:457–481, 1958. JSTOR 2281868
  5. ^ Kaplan, E.L. in a retrospective on the seminal paper in "This week's citation classic". Current Contents 24, 14 (1983).Available from UPenn as PDF.
  6. ^ Harry M Marks (2004), "A conversation with Paul Meier" (PDF), Clinical Trials, 1 (1): 131–138, CiteSeerX 10.1.1.575.5895, doi:10.1191/1740774504cn011xx, PMID 16281468

External links[edit]