LEADER 05535nam 2200709Ia 450 001 9910808851703321 005 20200520144314.0 010 $a1-118-70258-1 010 $a1-281-31049-2 010 $a9786611310493 010 $a0-470-77534-3 010 $a0-470-77366-9 035 $a(CKB)1000000000389773 035 $a(EBL)351459 035 $a(OCoLC)476172344 035 $a(SSID)ssj0000310310 035 $a(PQKBManifestationID)11229906 035 $a(PQKBTitleCode)TC0000310310 035 $a(PQKBWorkID)10289286 035 $a(PQKB)10964455 035 $a(MiAaPQ)EBC351459 035 $a(MiAaPQ)EBC4205667 035 $a(Au-PeEL)EBL351459 035 $a(CaPaEBR)ebr10232578 035 $a(OCoLC)48805388 035 $a(FINmELB)ELB179180 035 $a(EXLCZ)991000000000389773 100 $a19940607d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods in medical research /$fP. Armitage, G. Berry, J.N.S. Matthews 205 $a4th ed. 210 $aOxford ;$aBoston $cBlackwell Scientific Publications$d2002 215 $a1 online resource (832 p.) 300 $aDescription based upon print version of record. 311 $a0-632-05257-0 320 $aIncludes bibliographical references and index. 327 $aContents; 11 Modelling continuous data; Preface to the fourth edition; 1 The scope of statistics; 2 Describing data; 2.1 Diagrams; 2.2 Tabulation and data processing; 2.3 Summarizing numerical data; 2.4 Means and other measures of location; 2.5 Taking logs; 2.6 Measures of variation; 2.7 Outlying observations; 3 Probability; 3.1 The meaning of probability; 3.2 Probability calculations; 3.3 Bayes' theorem; 3.4 Probability distributions; 3.5 Expectation; 3.6 The binomial distribution; 3.7 The Poisson distribution; 3.8 The normal (or Gaussian) distribution; 4 Analysing means and proportions 327 $a4.1 Statistical inference: tests and estimation4.2 Inferences from means; 4.3 Comparison of two means; 4.4 Inferences from proportions; 4.5 Comparison of two proportions; 4.6 Sample-size determination; 5 Analysing variances, counts and other measures; 5.1 Inferences from variances; 5.2 Inferences from counts; 5.3 Ratios and other functions; 5.4 Maximum likelihood estimation; 6 Bayesian methods; 6.1 Subjective and objective probability; 6.2 Bayesian inference for a mean; 6.3 Bayesian inference for proportions and counts; 6.4 Further comments on Bayesian methods; 6.5 Empirical Bayesian methods 327 $a7 Regression and correlation7.1 Association; 7.2 Linear regression; 7.3 Correlation; 7.4 Sampling errors in regression and correlation; 7.5 Regression to the mean; 8 Comparison of several groups; 8.1 One-way analysis of variance; 8.2 The method of weighting; 8.3 Components of variance; 8.4 Multiple comparisons; 8.5 Comparison of several proportions: the 2 x k contingency table; 8.6 General contingency tables; 8.7 Comparison of several variances; 8.8 Comparison of several counts: the Poisson heterogeneity test; 9 Experimental design; 9.1 General remarks 327 $a9.2 Two-way analysis of variance: randomized blocks9.3 Factorial designs; 9.4 Latin squares; 9.5 Other incomplete designs; 9.6 Split-unit designs; 10.1 Distribution-free methods; 10.2 One-sample tests for location; 10.3 Comparison of two independent groups; 10.4 Comparison of several groups; 10.5 Rank correlation; 10.6 Permutation and Monte Carlo tests; 10.7 The bootstrap and the jackknife; 10.8 Transformations; 10 Analysing non-normal data; 11.1 Analysis of variance applied to regression; 11.2 Errors in both variables; 11.3 Straight lines through the origin; 11.4 Regression in groups 327 $a11.5 Analysis of covariance11.6 Multiple regression; 11.7 Multiple regression in groups; 11.8 Multiple regression in the analysis of non-orthogonal data; 11.9 Checking the model; 11.10 More on data transformation; 12 Further regression models for a continuous response; 12.1 Polynomial regression; 12.2 Smoothing and non-parametric regression; 12.3 Reference ranges; 12.4 Non-linear regression; 12.5 Multilevel models; 12.6 Longitudinal data; 12.7 Time series; 13 Multivariate methods; 13.1 General; 13.2 Principal components; 13.3 Discriminant analysis; 13.4 Cluster analysis 327 $a13.5 Concluding remarks 330 $aThe explanation and implementation of statistical methods for the medical researcher or statistician remains an integral part of modern medical research. This book explains the use of experimental and analytical biostatistics systems. Its accessible style allows it to be used by the non-mathematician as a fundamental component of successful research. Since the third edition, there have been many developments in statistical techniques. The fourth edition provides the medical statistician with an accessible guide to these techniques and to reflect the extent of their usage in medical resea 606 $aMedicine$xResearch$xStatistical methods 606 $aMedicine, Experimental 615 0$aMedicine$xResearch$xStatistical methods. 615 0$aMedicine, Experimental. 676 $a610/.72 700 $aArmitage$b P$0980857 701 $aBerry$b G$g(Geoffrey)$0980858 701 $aMatthews$b J. N. S$0260856 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808851703321 996 $aStatistical methods in medical research$92238344 997 $aUNINA