出售统计学，生物统计学，流行病学书籍

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出售以下统计学，生物统计学，流行病学书籍。所有的书保存完好，干净整齐。请联系James: 0401 688 819 或[email protected]
1.
Acock, A. (2008). A Gentle Introduction to Stata. College Station,Stata Corporation.
2.
Afifi (2004). Computer-Aided Multivariate Analysis (Fourth edition).Boca Raton, Chapman & Hall/CRC.
3.
Agresti, A. (2007). An introduction to categorical data analysis.Hoboken, John Wiley & Sons.
4.
Armitage, P., G. Berry, et al. (2002). Statistical Methods in MedicalResearch (4th Edition). Bodmin, Blackwell.
5.
Baltagi, B. H. (2001). Econometric Analysis of Panel Data (2nd Ed).Chichester, John Wiley and Sons, Ltd.
6.
Baum, C. F. (2006). An introduction to modern econometrics using Stata.College Station, StataCorp LP.
7.
Baum, C. F. (2009). An Introduction to Stata Programming. CollegeStation, StataCorp LP.
8.
Borenstein, M., L. V. Hedges, et al. (2009). Introduction toMeta-Analysis. Chichester, John Wiley & Sons, Inc.
9.
Brookmeyer, R. and M. H. Gail (1994). AIDS Epidemiology: A quantitativeApproach. New York, Oxford University Press.
10.
Checkoway, H., N. Pearce, et al. (2004). Research Methods inOccupational Epidemiology. Oxford, Oxford University Press.
11.
Clayton, D. and M. Hills (1993). Statistical Models in Epidemiology.Oxford, Oxford Science Publications.
12.
Cleves, M., W. Gould, et al. (2004). An Introduction to SurvivalAnalysis Using Stata. College Station, StataCorp LP.
13.
Cleves, M. A., W. W. Gould, et al. (2008). An Introduction to SurvivalAnalysis Using Stata (Second edition). College Station, StataCorp LP.
14.
Coakes, S. J. and L. G. Steed (1996). SPSS for Windows. Brisbane, JohnWiley & Sons.
15.
Cook, R. J. and J. F. Lawless (2007). The Statistical Analysis of RecurrentEvents. New York, Springer.
16.
David, H. A. and A. W. F. Edwards (2001). Annotated Readings in theHistory of Statistics. New York, Springer.
17.
Dupont, W. D. (2009). Statistical Modeling for Biomedical Researchers.Cambridge, Cambridge University Press.
18.
Elston, R. and W. Johnson (2009). Basic Biostatistics for Geneticistsand Epidemiologists. Chichester, Wiley.
19.
Elston, R. C., J. M. Olson, et al. (2002). Biostatistical Genetics andGenetic Epidemiology. Chichester, John Wiley & Sons Ltd.
20.
Everitt, B. S. (1998). The Cambridge Dictionary of Statistics.Cambridge, Cambridge University Press.
21.
Everitt, B. S. and G. Dunn (1998). Statistical Analysis of MedicalData. London, Arnold.
22.
Ewens, W. J. and G. R. Grant (2001). Statistical Methods inBioinformatics. New York, Springer.
23.
Fletcher, R. W. and S. W. Fletcher (2005). Clinical Epidemiology TheEssentials. Philadelphia, Lippincott Williams & Wilkins.
24.
Giesecke, J. (2002). Modern Infectious Disease Epidemiology (Secondedition). London, Hodder Arnold.
25.
Gonick, L. and W. Smith (1993). The Cartoon Guide to Statistics. NewYork, Harper Resource.
26.
Gordis, L. (2000). Epidemiology (2nd Edition). Philadelphia, W.B.Saunders.
27.
Gould, W., J. Pitblado, et al. (2005). Maximum Likelihood Estimationwith Stata (3rd Edition). College Station, StataCorp LP.
28.
Gould, W. and W. Sribney (1999). Maximum Likelihood Estimation withSTATA. College Station, Stata Corp.
29.
Hamilton, L. C. (1998). Statsistics with Stata 5, Duxbury.
30.
Hamilton, L. C. (2009). Statsistics with Stata Updated for Version 10.Belmont, Brooks/Cole.
31.
Hedeker, D. and R. D. Gibbons (2006). Longitudinal data analysis.Hoboken, John Wiley & Sons.
32.
Hilbe, J. M. (2009). Logistic Regression Models. Boca Raton, Chapman& Hall/CRC.
33.
Hills, M. and B. L. De Stavola (2007). A short introduction to Statafor biostatistics. London, Timberlake.
34.
Hogg, R. V. and A. T. Craig (1995). Introduction to MathematicalStatistics. Upper Saddle River, Prentice Hall.
35.
Hogg, R. V. and E. A. Tanis (2001). Probability and StatisticalInference (6th Ed), Pretice Hall.
36.
Hosmer, D. W. and S. Lemeshow (2000). Applied Logistic Regression (2ndEd). New York, John Wiley and Sons, Inc.
37.
Hosmer, D. W., S. Lemeshow, et al. (2008). Applied Survival Analysis(second edition). Hoboken, John Wiley & Sons.
38.
Hougaard, P. (2000). Analysis of Multivariate Survial Data. New York,Springer.
39.
Jekel, J. F., D. L. Katz, et al. (2001). Epidemiology BiostatisticsPreventive Medicine (2nd Ed). Philandelphia, W.B. Saunders Company.
40.
Jewell, N. P. (2004). Statistics for Epidemiology. Boca Raton, Chapman& Hall/CRC.
41.
Juul, S. (2008). An Introduction to Stata for Health Researchers.College Station, Stata Corporation.
42.
Kalbfleisch, J. and R. Prentice (2002). Statistical Analysis of Failuretime Data (2nd Edition). New York, John Wiley & Sons.
43.
Karian, Z. A. and E. A. Tanis (2001). Probability and StatisticsExplorations with Maple (2nd Ed), Pretice Hall.
44.
Kirkwood, B. R. and J. A. C. Sterne (2003). Essential MedicalStatistics. Bodmin, Blackwell Science.
45.
Klein, J. P. and M. L. Moeschberger (1997). Survival AnalysisTechniques for Censored and Truncated Data. New York, Springer.
46.
Kleinbaum, D. G. and M. Klein (2005). Survival Analysis A Self-LearningText. New York, Springer.
47.
Kopka, H. and P. W. Daly (1999). A Guide to Latex (3rd Edition).London, Addison-Wesley.
48.
Koury, M. J., T. H. Beaty, et al. (1993). Fundamentals of GeneticEpidemiology. New York, Oxford University Press.
49.
Lachin, J. M. (2001). Biostatistical Methods: The assessment ofRelative Risks. New York, John Wiley and Sons, Inc.
50.
Lam, L. (1999). An Introduction to S-plus for Windows. Amsterdam,CANdiensten.
51.
Lange, K. (2002). Mathematical and Statistical Methods for GeneticAnalysis. New York, Speringer.
52.
Last, J. M. (2001). A Dictionary of Epidemiology (4th Ed). Oxford,Oxford University Press.
53.
Lee, M.-L. T. (2006). Analysis of Microarray gene expression data. NewYork, Springer.
54.
Lee, Y., J. A. Nelder, et al. (2006). Generalized Linear Models withRandom Effects. Boca Raton, Chapman & Hall/CRC.
55.
Lindsey, J. K. (1999). Models for Repeated Measurements (2nd Edition).Oxford, Oxford University Press.
56.
Long, J. and J. Freese (2006). Regression Models for CategoricalDependent Variables Using Stata. College Station, StataCorp LP.
57.
Long, S. S. (2009). The Workflow of Data Analysis Uisng Stata. CollegeStation, Stata Press.
58.
Lynn, P. (2009). Methodology of Longitudinal Surveys. Chichester,Wiley.
59.
Matthews, D. E. and V. T. Farewell (1996). Using and UnderstandingMedical Statistics (3rd Ed). Basel, Karger.
60.
Mayer, D. (2004). Essential Evidence-Based Medicine. Cambridge,Cambridge University Press.
61.
McCulloch, C. E. and S. R. Searle (2001). Generalized, Linear, andMixed Models. New York, John Wiley & Sons, Inc.
62.
Migon, H. S. and D. Gamerman (1999). Statistical Inference: an IntegratedApproach. London, Arnold.
63.
Miller, I. and M. Miller (1999). John Freud's Mathematical Statistics(6th Ed). Upper Saddle River, Pretice Hall.
64.
Mitchell, M. (2004). A Visual Guid to Stata Graphics. College Station,StataCorp LP.
65.
Mitchell, M. N. (2008). A Visual Guid to Stata Graphics (Secondedition). College Station, StataCorp LP.
66.
Molenberghs, G. and G. Verbeke (2005). Models for Discrete LongitudinalData. New York, Springer.
67.
Nolan, D. and T. Speed (2000). Stat Labs Mathemtical Statistics ThroughApplications. New York, Springer.
68.
Pagano, M. and K. Gauvreau (2000). Principles of Biostatistics (2ndEd). Belmont, Duxbury.
69.
Pan, J.-X. and K.-T. Fang (2002). Growth Curve Models and StatisticalDiagnostics. New York, Springer-Verlag.
70.
Parmigiani, G., E. S. Garrett, et al. (2003). The Analysis of GeneExpression Data. New York, Springer.
71.
Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests forClassification and Prediction. Oxford, Oxford University Press.
72.
Pestman, W. R. and I. B. Alberink (1998). Mathematical Statististics:problems and detailed solutions. Berlin, Walter de Gruyter.
73.
Rabe-Hesketh, S. and B. Everitt (2000). A Handbook of StatisticalAnalysis using STATA (2nd Ed). Boca Raton, Chapman & Hall/CRC.
74.
Rabe-Hesketh, S. and B. Everitt (2004). A Handbook of StatisticalAnalysis using STATA (4rd Ed). Boca Raton, Chapman & Hall/CRC.
75.
Rabe-Hesketh, S. and B. Everitt (2007). A Handbook of StatisticalAnalysis using STATA (4th Ed). Boca Raton, Chapman & Hall/CRC.
76.
Rabe-Hesketh, S. and A. Skrondal (2005). Multilevel and LongitudinalModeling Using Stata. College Station, TX, StataCorp LP.
77.
Raftery, E. E., M. A. Tanner, et al. (2002). Statistics in the 21stCentury. Boca Raton, Chapman & Hall/CRC.
78.
Rosner, B. (1995). Fundamentals of Biostatistics (4th Ed). Belmont,Duxbury.
79.
Ross, S. M. (1997). Introduction to Probability Models (6th Ed).Boston, Academic Press.
80.
Rothman, K. J. and S. Greenland (1998). Modern Epidemiology (SecondEdition). Philadelphia, Lippincott-Raven.
81.
Rothman, K. J., S. Greenland, et al. (2008). Modern Epidemiology (ThirdEdition). Philadelphia, Lippincott Williams & Wilkins.
82.
Selvin, S. (1996). Statistical Analysis of Epidemiology Data. New York,Oxford University Press.
83.
Severini, T. A. (2000). Likelihood Methods in Statistics. Oxford,Oxford University Press.
84.
Simon, R. M., E. L. Korn, et al. (2003). Design and analysis of DNAMicroarray investigations. New York, Springer.
85.
Singer, J. and J. Willett (2003). Applied Longitudinal Data Analysis.New York, Oxford University Press.
86.
Sorensen, D. and D. Gianola (2002). Likelihood, Bayesian, and MCMCMethods in Quantitative Genetics. 2002, Springer.
87.
Sterne, J. A. C. (2009). Meta-Analysis in Stata: An Updated Collectionfrom the Stata Journal. College Station, StataCorp LP.
88.
Sun, J. (2006). The Statistical Analysis of Interval-censored FailureTime Data. New York, Springer.
89.
Sutton, A. J., K. R. Abrams, et al. (2000). Methods for Meta-Analysisin Medical Research. Chichester, John Wiley and Sons, Inc.
90.
Tableman, M. and J. S. Kim (2004). Survival Analysis Using S. BocaRaton, Chapman & Hall/CRC.
91.
Therneau, T. M. and P. M. Grambsch (2000). Modelling Survival DataExtending the Cox Model. New York, Springer-Verlag.
92.
van der Laan, M. and J. Robins (2003). Unified methods for censoredlongitudinal data and causality. New York, Springer.
93.
Venables, W. N. and B. D. Ripley (1999). Modern Applied Statistics withS-plus. New York, Springer-Verlag.
94.
Verbeke, G. and G. molenberghs (2000). Linaer Mixed Models forLongitudinal Data. New York, Springer-Verlag.
95.
Vittinghoff, E., D. V. Glidden, et al. (2005). Regression Methods inBiostatistics. New York, Springer.
96.
Weir, B. S. (1996). Genetic Data Analysis II: Methods for DiscretePopulation Genetic Data. Sunderland, Sinauer Associates, Inc. Publishers.
97.
Weiss, R. E. (2005). Modeling Longitudinal Data. New York, Springer.

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