Handbook of Statistics 18: Bioenvironmental and Public Health Statistics

Edited by

  • P.K. Sen, Dept. of Biostatistics, University of N. Carolina, Chapel Hill, NC, USA
  • C.R. Rao, Center of Multivariate Analysis, Department of Statistics, The Pennsylvania State University, University Park, PA, USA

In this volume of the Handbook of Statistics with the primary focus on bioenvironmental and public health statistics, a rather off-beat approach has been taken, wherein biostatistical methods that are relevant to the dissemination of bioenvironmental and public health investigations have been thoroughly emphasised, and placed side by side with the fruitful applications. One aspect of statistical methodology that merits special appraisal is the extent of appropriateness of some standard statistical tools in such non-standard applications, and much of the deliberation in this volume is geared to alternative non-standard and application oriented methodology that have been developed to suit better bioenvironmental and public health studies.
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Book information

  • Published: April 2000
  • Imprint: NORTH-HOLLAND
  • ISBN: 978-0-444-82900-9


....will contribute to expanding knowledge ,even to those readers who are familiar with methods of statistical analysis......excellent source......
Dr. Wieslaw Szymczak, Int. Jnl of Occupational Medicine and Environmental Helath, Vol. 13 no. 3, 2000

.....this handbook is a very useful introductory source for basic and advanced concepts in biostatistics and epidemiology.
Rainer Schwabe, Zentralblatt f. Mathematik, Vol. 960, 2001

Table of Contents

Preface. Contributors. Part I. Overview. Bioenvironment and public health: statistical perspectives (P.K. Sen). Part II. General Methodology. Some examples of random process environmental data analysis (D.R. Brillinger). modeling infectious diseases - aids (L. Billard). On some multiplicity problems and multiple comparison procedures in biostatistics (Y. Hochberg, P. Wastfall). Analysis of longitudinal data (J.M. Singer, D.F. Andrade). Regression models for survival data (R.A. Johnson, J.P. Klein). Generalised linear models for independent and dependent responses (B.F. Qaqish, J.S. Preisser). Hierarchial and empirical Bayes methods for environmental risk assessment (G. Datta, M. Ghosh, L.A. Waller). Non-parametrics in bioenvironmental and public health statistics (P.K. Sen). Estimation and comparison of growth and dose-response curves in the presence of purposeful censoring (P.W. Stewart). Part III. Environmental Epidemiology. Spatial statistical methods for environmental epidemiology (A.B. Lawson, N. Cressie). Evaluating diagnostic tests in public health (M. Pepe, W. Leisenring, C. Rutter). Statistical issues in inhalation toxicology (E. Weller, L. Ryan, D. Dockery). Quantitative potency estimation to measure risk with bioenvironmental hazards (A.J. Bailer, W.W. Piegorsch). The analysis of case-control data: epidemiological studies of familial aggregation (N.M. Laird, G.M. Fitzmaurice, A.G. Schwartz). Cochran-Mantel-Haenszel techniques: applications involving epidemiologic survey data (D.B. Hall, R.F. Woolson, W.R. Clarke, M.F. Jones). Measurement error models for environmental and occupational health application (R.H. Lyles, L.L. Kupper). Statistical perspectives in clinical epidemiology (S.I. Bangdiwala, S.R. Munoz). Part IV. Cross-over designs. ANOVA and ANOCOVA for two-period crossover trial data: new vs standard (S. Ghosh, L.D. Fairchild). Statistical methods for crossover designs in Bioenvironmental and public health studies (G.E. Tudor, G.G. Koch, D. Catellier). Part V. Human Reproduction. Statistical models for human reproduction (C.M. Suchindran, H.P. Koo). Statistical methods for reproductive risk assessment (S. Mazumdar, Y. Xu, D.R. Mattison, N.B. Sussman, V.C. Arena). Part VI. Genetic Models. Selection biases of samples and their resolution (R. Chakraborty, C.R. Rao). Genomic sequences and quasi-multivariate CATANOVA (H.P. Pinheiro, F. Seillier-Moiseiwitsch, P.K. Sen, J. Eron Jr). Part VII. Survival analysis and competing risk. Statistical methods for multivariate failure time data and competing risks (R.A. DeMasi). Bounds on joint survival probabilities with positively dependent competing risks (S.K. Sarkar, K. Ghosh). Modeling multivariate failure time data (L.X. Clegg, J. Cai, P.K. Sen). Part VIII. Health Care. The cost-effectiveness ratio in the analysis of health care programs (J.C. Gardiner, C.J. Bradley, M. Huebner). Quality-oflife: statistical validation and analysis: an example from a clinical trial (B. Hosmane, C. Maurath, R. Manski). Part IX. Cancer. Carcinogenic potency: statistical perspectives (A. Dewanji). Part X. Cardiovascular Risk. Statistical applications in cardiovascular disease (E.R. DeLong, D.M. DeLong). Part XI. Medical Informatics. Medical informatics and health care systems: biostatistical and epidemiologic perspectives (J. Zvárová). Part XII. Drug-Research. Methods of establishing in vitro-in vivo relationships for modified release drug products (D.T. Mauger, V.M. Chinchilli). Part XIII. Psychiatry. Statistics in psychiatric research (S. Mazumdar, P.R. Houck. C.F. Reynolds III). Part XIV. Epidemiology. Bridging the biostatistics-epidemiology gap (L.J. Edwards). Part XV. Biodiversity. Biodiversity - measurement and analysis (S.P. Mukherjee). Subject Index. Contents of previous volumes.