Livros Didáticos

Bibliografia recomendada para formação de profissionais da área estatística
 

BIOESTATÍSTICA / BIOEQUIVALÊNCIA

ESTATÍSTICA PARA ÁREA MÉDICA

  • Aitchison, Statistical concepts and aplications in clinical medicine
  • Bulpitt, Randomized Controlled Clinical Trials. Martinus Nijhoff, Boston, MA. 1983
  • David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles, Bayesian Approaches to Clinical Trials and Health-Care Evaluation,
    Wiley. 2004
  • Friedman, Furberg & DeMets (3rd edition, 1998) Fundamentals of Clinical Trials. Springer-Verlag, NY, NY.
  • Hill, Statistical Methods of Clinical and Preventive Medicine. Oxford University Press, New York, NY. 1962
  • James J Schlesselman, com contribuições de Paul Stolley, Case-Control Studies: Design, Conduct, Analysis
  • Meinert, Clinical Trials – Design, Conduct & Analysis. Oxford University Press, New York, NY. 1986
  • Mike & Stanley, Statistics in Medicine Research. Wiley and Sons, New York. 1982
  • Peto, Pike, Armitage, et al., Design and Analysis of Randomized Clinical Trials Requiring Prolonged Observation of Each Patient. British Journal of Cancer. 1976
  • Pocock, Clinical Trials – A Practical Approach. Wiley and Sons, New York, NY. 1986
  • Shapiro & Louis, Clinical Trials – Issues and Approaches. Marcell Dekker, New York, NY. 1983
  • Shein-Chung Chow & Jen-pei Liu, Design and Analysis of bioavailability and bioequivalence studies
  • Soares, José F. & Siqueira, Arminda L., Introdução à Estatí­stica Médica. Coopmed Editora Médica, Belo Horizonte, MG, Brasil. 2002
  • Tygstrup, Lachin & Juhl, The Randomized Clinical Trial and Therapeutics Decisions. Marcell Dekker, New York, NY. 1982

 

ANÁLISE DE SOBREVIVÊNCIA 

  • Collet, D., Modelling Survival Data in Medical Research, 2nd Ed. Chapman & Hall/LRC, London, 2003.
  • Elandt – Johnson, R.C., Johnson, N.L., Survival Models and Data Analysis, Wiley, NY, 1980
  • Kalbfleisch, J.D., Prentice, R.L., The Statistical Analysis of Time-Failure Data, Wiley, NY, 1980
  • Klein, J., Moeschberger, M., Survival analysis : techniques for censored and truncated data. Springer. 2ed. 2003
  • Lawless, J.L., Statistical Models and Methods for Lifetime Data, Wiley, NY, 1982
  • Lee, E.T., Statistical Methods for Survival Data Analysis, Wadsworth, Belmont, CA, 1980
  • Miller, R.G., Survival Analysis, Wiley, NY, 1981
  • Therneau, T., Grambsch, P., Modeling survival data : extending the Cox model. Springer, 1ed. 2001

 

REFERÊNCIAS DE BIOEQUIVALÊNCIA, INCLUINDO O USO DE TEXTOS SOBRE CROSSOVER DE ORDEM SUPERIOR 

  • Chellini, P. R. Boas Práticas Estatí­sticas em Estudos de Bioquivalência com Crossover 2×2. Dissertação de Mestrado, Departamento de Estatí­stica da UFMG, 2007.
  • Chen K-W, Chow S-C and Li G. A note on sample size determination for bioequivalence studies with higher-order crossover designs. Journal of Pharmacokinetics and Biopharmaceutics 1997; 25:753-765.
  • Chow S-C, Liu J-P. Design and Analysis of Bioavailability and Bioequivalence Studies
  • (2ª ed.). Marcel Dekker: New York, 2000.
  • Chow, S.; Shao, J.; Wang, H. Sample Size Calculations in Clinical Research. Marcel Dekker, 2003.
  • Chow, S.-C.; Shao, J.; Wang, H. A note on sample size calculation for mean comparisons based on noncentral t-statistics. Journal of Biopharmaceutical Statistics, v. 12 (4), p. 441 ” 445, 2002.
  • CHOW, S.-C.; WANG, H. On sample size calculation in bioequivalence trials on sample size calculation in bioequivalence trials. Journal of Pharmacokinetics and Pharmacodynamics, v. 28 (2), p. 155″169, 2001.
  • Chow S-C, Wang H. On statistical power for average bioequivalence testing under replicated crossover designs. Journal of Biopharmaceutical Statistics 2002; 12:265-309.
  • Hauschke D, Steinijans V, Pigeot, I. Bioequivalence Studies in Drug Development: Methods and Applications. John Wiley: New York, 2007.
  • Jones B and Kenward MG. Design and Analysis of Crossover Trials. Second Edition. Chapman and Hall, London, UK, 2003.
  • Julious SA. Tutorial in biostatistics: Sample sizes for clinical trials with Normal data. Statistics in Medicine 2004; 23:1921-1986.
  • Petterson S, Jones B. Bioequivalence and Statistics in Clinical Pharmacology. Chapman & Hall, 2006.
  • Qu RP, Zheng H. Sample size calculation for bioequivalence studies with high-order crossover designs. Controlled Clinical Trials 2003; 24:436-439.
  • Siqueira AL, Whitehead A, Todd S and Lucini MM. Comparison of sample size formulae for 2×2 cross-over designs applied to bioequivalence studies. Journal of Pharmaceutical Statistics 2005; 4: 233-243.
  • Wellek, S. Testing Statistical Hypotheses of Equivalence. Chapman & Hall/CRC, 2003.
  • Willavize SA, Morgenthien EA. Comparison of models for average bioequivalence in replicated crossover designs. Journal of Pharmaceutical Statistics 2006; 5: 201-211.
  • Williams EJ. Experimental designs balanced for the estimation of residual effects of treatment. Australian Journal of Scientific Research. 1949; 2:149-168.
  • Zhou J, Yuan Y, Chen M and Coate B. Empirical power for higher-order crossover designs in comparative bioavailability clinical trials. SAS Users Group International 2005; 30: paper 184.

 

NOÇÕES DE FARMACOCINÉTICA 

  • Fuchs, F.D.; Wannmacher, L., Exercí­cios de Farmacologia Aplicada. 3ª ed. Editora UPF. Universidade de Passo Fundo. 2006
  • Fuchs, F.D.; Wannmacher, L., Ferreira, M.B.C. Farmacologia Clí­nica. Fundamentos da terapêutica racional. 3ª ed. Rio de Janeiro: Guanabara Koogan, 2004.
  • Goodman e Gilman – As Bases Farmacológicas da Terapêutica. Rio de Janeiro. Ed. Guanabara Koogan – 9a. edição. 1996
  • Graeff, F. G. – Psicotrópicos e seu modo de ação. São Paulo. Ed. E. P. U. – 2a. edição revista e ampliada. 1989
  • Hardman, J.G.; Limbird, L.E.; Molinoff, P.B.; Ruddon, R.W.; Gilman, A.G., Goodman and Gilman’s. The pharmacological basis of therapeutics. 10ª ed. New York: McGraw-Hill, 2001.
  • Katzung, B.G. – Farmacologia Básica e Clínica. Rio de Janeiro. Ed. Guanabara Koogan – 3a. edição traduzida. 1994
  • Rang, H.P. e Dale, M.M., Farmacologia. 5ª ed. Rio de Janeiro: Editora Elsevier, 2004.
  • Rowland, M. and Tozer, T.N., Clinical Pharmacokinetics: Concepts and Applications, 3rd edition, Lea and Febiger, Philadelphia, 1995.
  • Shargel, L.and Yu, A.B.C., Applied Biopharmaceutics and Pharmacokinetics, 5th edition, Appleton and Lange, Norwalk, CT, 2005.
  • Silva, Penildon. Farmacologia. Rio de Janeiro. Ed. Guanabara Koogan – 5a. edição. 2000
  • Tozer, T.N. and Rowland, M., Introduction to Pharmacokinetics and Pharmacodynamics (the quantitative basis of drug therapy), 1st edition, Lippincott William & Wilkins, 2006.
  • Valle, B.; Oliveira-Filho; Delucia, R. e Oga, S. – Farmacologia integrada. São Paulo. Livraria Atheneu – 1a. edição. 1988
  • Zanini e Oga – Farmacologia Aplicada. São Paulo. Livraria Atheneu – 5a. edição. 1994
 

PLANEJAMENTO DE EXPERIMENTOS 

  • Box, G. E.P., Hunter, W.G., Statistics for experimenters : an introduction to design, data analysis and model building. Wiley. 1978
  • Hinkelmann, K. e Kempthorne, O., Design and analysis of experiments. Wiley. 1994
  • John, P. W. M., Statistical design and analysis of experiments. Macmillan, 1ed. 1971
  • Johnson, L.N., Leone, F., Statistics and Experimental Design in Engineering and Physical Sciences, vol. 4, John Wiley. 1964
  • Johnson, R. A. e Wichern, D.W., Applied multivariate statistical analysis. Prentice-Hall. 1982
  • Jones B and Kenward MG. Design and Analysis of Crossover Trials. Second Edition. Chapman and Hall, London, UK, 2003.
  • Montgomery, D.C., Design and Analysis of Experiments, 2nd.ed., John Wiley. 1984
  • Neter, J. Kutner, M. H., Nachtsheim, C.J., Wasserman, W., Applied Linear Statistical Models, 4th.ed., Times Mirror Higher Education Group. 1996
  • Peres, C.A., C.D. Saldiva, Planejamento de Experimentos, 5_o. Simpósio Nacional de Probabilidade e Estatí­stica, IME-USP, São Paulo, 1982
  • Siegel, S., Estatí­stica Não Paramétrica para as Ciências do Comportamento, McGraw-Hill, São Paulo, 1975
  • Singer, J.M., Nobre, J. S. e Rocha, F. M. M., Análise de dados longitudinais. IME-USP. 2007
  • Timm, N.H., Multivariate Analysis with Applications in Education and Psychology, 2nd.ed., Brooks Cole, Monterrey. 1975
  • Winer, B.J., Statistical Principles in Experimental Design, McGraw-Hill Kogakusha, 1971.
 

ANÁLISE DE REGRESSÃO / MODELOS LINEARES GENERALIZADOS

  • Bates, E.M., Watts, D.G., Nonlinear Regression Analysis and its Applications, Wiley Series in Probability and Mathematical Statistics, 1988.
  • Birkes, D., Dodge, Y., Alternative Methods of Regression, John Wiley, 1993
  • Broemeling, L.D., Bayesian Analysis of Linear Models, Marcel Dekker, Inc., 1985
  • Dobson, A. J., An Introduction to Generalized Linear Models. London: Chapman and Hall. 2002
  • Draper, N. R. e Smith, H., Applied regression analysis. Wiley. 1998
  • Harrell, F. E., Regression Modeling Strategies. New York: Springer-Verlag. 2003
  • Hastie, T.,Tibshirani, R., Generalized Additive Models, Chapman & Hall, London, 1990
  • Lee, E.T., Statistical Methods for Survival Data Analysis, A Lifetime Learning Publications – Wadsworth Inc., 1980
  • McCullagh, P., Nelder, J.A., Generalized Linear Models, 3rd ed., Chapman & Hall, London, 1989
  • Montgomery, D. C., Peck, E.A. e Vinning, G. G., Introduction to linear regression analysis. Wiley. 2001
  • Neter, J., Kutner, M.H., Nachtsheim, J., Wasserman, W., Applied Linear Statistical Models, 4th ed., Richard D. Irwin, Inc., 1996
  • Paula, G. A., Modelos de regressão com apoio computacional. São Paulo: IME-USP. 2004
  • Pinheiro, J. C. e Bates, D. M., Mixed-effect models in S and S-PLUS. New York: Springer-Verlag. 2002
 

ANÁLISE MULTIVARIADA 

  • Anderson, T.W., An introduction to multivariate statistical analysis. Wiley. 1984
  • Conover, W. J., Practical nonparametric statistics. Wiley. 1971
  • Greenacre, M.J., Theory and Applications of Correspondence Analysis, Academic Press, London, 1984.
  • Johnson, R.A., D. W. Wichern, D. W., Applied Multivariate Statistical Analysis, Prentice-Hall, 4rd.ed., 1998.
  • Hair, J.F., Tatham, R.L., Anderson, R.E., Black, W., Multivariate Data Analysis (5th Edition), Upper Saddle River: Prentice Hall. 1998.
  • Mardia, K.V., Kent, J. T., Bibby, J.M., Multivariate Analysis, Academic Press, 1979 .
  • Mingoti, S. A. Análise de dados através de métodos de Estatí­stica multivariada. Editora UFMG, 2005.

 

TÉCNICAS DE AMOSTRAGEM

  • Bolfarine, H. e Bussab, W.O., Elementos de amostragem. Edgard Blücher, 1ed. 2005
  • Cochran, W. G., Sampling techniques. Wiley, 3ed. 1977
  • Kish, L., Survey sampling. John Wiley and Sons, 1ed. 1965
  • SILVA, Nilza Nunes da. Amostragem Probabilística: um curso introdutório. EDUSP, 2. ed. São Paulo, 2001.
 
 

ANÁLISE DE SÉRIES TEMPORAIS

  • Box, G.E.P., Jenkins, G.M. e Reinsel, G.C., Time series analysis: forecasting and control. 4ed. Wiley. 2008
  • Brockwell, P.J. e Davis, R. A., Introduction to time series and forecasting. Springer. 2002
  • Chatfield, C., The analysis of time series: an introduction. 2ed. Chapman e Hall. 1980
  • Morettin, P.A. e Toloi, C.M.C., Análise de séries temporais. Blucher. 2ed. 2006
  • Shumway, R.H. e Stoffer, D.S., Time series analysis and its applications. 2ed. Springer-Verlag, New York. 2006
 
 

ANÁLISE DE DADOS CATEGORIZADOS 

  • Agresti, A., Categorical Data Analysis, second edition. New York: Wiley. 2002
  • Agresti, A., Introduction to the analysis of categorical data. New York:Wiley. 1996
  • Christensen, R., Log-linear models. New York: Springer Verlag. 1990
  • Freeman, Jr., D.H., Applied categorical data analysis. New York: Marcel Dekker. 1987
  • Paulino, C.D.M e Singer, J.M., Análise de dados categorizados. Editora Edgard Blücher. 2006
  • Reis, I. M., Modelos log-lineares para análise de dados categorizados. Dissertação de mestrado. São Paulo: Departamento de Estatí­stica, IME/USP. 1989
  • Stokes, M. E. Davis, C. S. and Koch, G. G., Categorical Data Analysis using the SAS system. Cary, NC: SAS Institute. 1995
 

MÉTODOS COMPUTACIONAIS EM ESTATÍSTICA 

  • Becker, R.A., Chambers, J.M. & Wilks, A.R., The New S Language. A Programming Environment for Data Analysis and Graphics. Wadsworth & Brooks/Cole Advanced Books & Software. California, 1988.
  • Efron, B.; Tibshirani, R. F., An Introduction to the Bootstrap. Chapman & Hall. 1993
  • Gamerman, D., Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, CRC Press. 1997
  • Gentle, J. E., Random Number Generation and Monte Carlo Methods, 2nd Ed., Springer-Verlag. 2003
  • Gentle, J. E., Elements of Computational Statistics, Springer. 2002
  • Hjorth, J. S. U., Computer Intensive Statistical Methods. Validation, Model Selection and Bootstrap. Chapman & Hall. 1994
  • Kennedy Jr., W.J. & Gentle, J.E., Statistical Computing. Marcel Dekker, Inc., New York, 1980.
  • Kleijnen, J.; W. van Groenendaal. Simulation. A Statistical Perspective. John Wiley. 1988
  • Mambrini, j., Pansanato, K.A. & Sátyro, N.G.D., Curso Básico de SPSS 7.5. PROAV-UFMG, Belo Horizonte, 1999 (disponível em ftp://ftp.est.ufmg.br/pub/soft/SPSS/spss_basico.pdf).
  • Minitab Inc. Meet MINITAB, EUA, 2004 (em português, disponível em ftp://ftp.est.ufmg.br/pub/pac/MINITAB/meetminitabpg.pdf).
  • Minitab Inc. User’s Guide 1: Part V, EUA, 2001 (disponível em 27 – Using Session Commands and Macros, 27-1 – Using Session Commands, 28-1 – Introducing Simple Macros, 29-1 – Advanced Macros, 30-1 – Controlling Macro Flow, 31-1 – Managing Input and Output, 32-1 – Handling Errors in Macros, 33-1 – Using Execs)
  • Monahan, J., Numerical Methods of Statistics, Cambridge University Press. 2001
  • Press, W.H., Teukolsky, S.A., Vetterling, W.T. Flannery, B.P., Numerical Recipes in C. The Art of Scientific Computing. Cambridge University Press, 2a. ed., 1992.
  • Reis, E.A., Noções Básicas de S-PLUS for Windows . RTE-03/1997, EST-ICEx-UFMG, Belo Horizonte, 1997 (disponível em ftp://ftp.est.ufmg.br/pub/rts/rte9703.pdf).
  • Soares, J.F. & Rodrigues, M.D.F., Introdução ao Software MINITAB for Windows . RTE-01/2001, EST-ICEx-UFMG, Belo Horizonte, 2000 (disponível em ftp://ftp.est.ufmg.br/pub/rts/rte0101.pdf).
  • Soares, J.F., SPSS. EST-ICEx-UFMG, Belo Horizonte, 1999 (disponível em ftp://ftp.est.ufmg.br/pub/soft/SPSS/spss.pdf).
  • Venables, W.N. & Ripley, B.D., Modern Applied Statistical with S-PLUS . Springer-Verlag, 2a. ed., New York, 1998.
  • Venables, W.N. & Smith, D.M., An Introduction to R. R Development Core Team, 2004. (disponível em ftp://ftp.est.ufmg.br/pub/soft/R/R-intro.pdf).
 

INFERÊNCIA ESTATÍSTICA 

  • Azzalini, A., Statistical Inference: Based on the Likelihood. Chapman & Hall, London. 1985
  • Bolfarine, H. e Sandoval, M.C., Introdução à Inferência Estatí­stica. SBM. 2002
  • Casella, G. e Berger, R.L. Statistical inference. Duxbury/Thomson Learning. 2002
  • DeGroot, M.H. e Schervish, M.J., Probability and statistics. Addison-Wesley. 3rd edition. 2001
  • Edwards, A.W.F., Likelihood. Cambridge University Press, Cambridge. 1972
  • Kalbfleisch, J.D., Probability and Statistical Inference. Vol.1: Probability. Vol.2: Statistical Inference. Springer-Verlag, New York. 1985
  • King, G., Unifying Political Methodology: The Likelihood Theory of Statistical Inference.University of Michigan Press. 1998
  • Lindsey, J.K., Parametric Statistical Inference. Oxford UniversityPress, Oxford. 1996
  • Mood, A.M., Graybill, F.A. e Boes, D.C., Introduction to the theory of statistics. McGraw-Hill. 1963
  • Pace, L. and Salvan, A., Principles of Statistical Inference. World Scientific, Singapore. 1997
  • Pawitan, Y., All Likelihood: Statistical Modelling and Inference using Likelihood. Oxford University Press, Oxford. 2011
  • Royall, R.M., Statistical evidence: a likelihood paradigm. Chapman & Hall, London. 1999
  • Severini, T.A., Likelihood Methods in Statistics. Oxford University Press, Oxford. 2000
  • Sprott, D., Statistical Inference in Science. Springer Series in Statistics. 2000

 

PROBABILIDADE 

  • Dantas, C.A.B. Probabilidade: Um Curso Introdutório, Edusp, 1997.
  • DeGroot, M.H. e Schervish, M. J., Probability and statistics. Addison-Wesley. 3rd edition. 2001
  • Feller, W., Introduction to Probability Theory and its Applications, vol. I, 3rd.ed. 1968.
  • Hoel, P.G., Port, S.C., Stone, C. J.. Introdução à Teoria das Probabilidades, Interciência, 1978.
  • James, Barry, Probabilidade : um curso em nível intermediário. IMPA. 2a. ed. 1996
  • Magalhães, Marcos Nascimento. Probabilidade e variáveis aleatórias. IME-USP. 1a. ed. 2004
  • Mood, A.M., Graybill, F.A., Boes, D.C. Introduction to the Theory of Statistics, 3rd.ed., Mc Graw-Hill, 1974.
  • Morgado, A. C. O., Carvalho, J. B. P., Carvalho, P. C. e Fernandez, P. CPM/02 – Análise Combinatória e Probabilidade. SBM. 6a. ed. Coleção do Professor de Matemática, ISBN 85-85818-01-8. 2004
  • Murteira, B.F.J., Probabilidade e Estatí­stica. 2a ed. McGraw-Hill. 1990
  • Ross, S.M., Introduction to Probability Models, 4th.ed., Academic Press, 1989.
  • Woodroofe, M., Probability with Applications, 1975.