LEADER 05305nam 2200673 a 450 001 9910139197303321 005 20170809173259.0 010 $a1-282-25345-X 010 $a9786613814104 010 $a1-118-03305-1 010 $a1-118-03130-X 035 $a(CKB)2560000000053239 035 $a(EBL)699796 035 $a(OCoLC)701311768 035 $a(SSID)ssj0000487632 035 $a(PQKBManifestationID)11313505 035 $a(PQKBTitleCode)TC0000487632 035 $a(PQKBWorkID)10442477 035 $a(PQKB)10570445 035 $a(MiAaPQ)EBC699796 035 $a(EXLCZ)992560000000053239 100 $a20020604d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods for the analysis of biomedical data$b[electronic resource] /$fRobert F. Woolson, William R. Clarke 205 $a2nd ed. 210 $aNew York $cWiley-Interscience$dc2002 215 $a1 online resource (714 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-471-39405-X 320 $aIncludes bibliographies and index. 327 $aStatistical Methods for the Analysis of Biomedical Data; Dedication; Contents; Preface to the 1987 Edition; Preface to the 2002 Edition; Acknowledgments; 1 Introduction; 1.1 Overview of Statistics; 1.2 A Designed Experiment; 1.2.1 Order of Interviewing (Randomization); 1.2.2 Possible Outcomes of the Experiment (Sample Space); 1.3 Scope and Organization of Book; References; 2 Descriptive Statistics; 2.1 Introduction; 2.2 Classification of Variables; 2.3 Representing Data with Notation; 2.4 Central Tendency of a Set of Data; 2.5 Variability in a Set of Data; 2.6 Pictorial Data Representation 327 $a2.7 Sample Description with Grouped Data2.8 Tabulation and Graphing of Grouped Data; 2.9 Summary Statistics for Grouped Data; 2.10 Using SAS for Computations; 2.11 Summary; Problems; References; 3 Basic Probability Concepts; 3.1 Introduction; 3.2 Probability; 3.2.1 Probability Defined; 3.2.2 Addition Rule; 3.2.3 Conditional Probability and Multiplication Rule; 3.3 Bayes' Theorem: A Useful Result from Probability Theory; 3.4 Probability Distributions and Random Variables; 3.5 Summary; Problems; References; 4 Further Aspects of Probability; 4.1 Introduction 327 $a4.2 Populations, Samples, and Random Samples4.3 Parameters and Statistics; 4.4 Permutations and Combinations: Factorial Notation; 4.5 Some Discrete Probability Distributions; 4.5.1 Binomial Distribution; 4.5.2 Poisson Distribution; 4.5.3 Hypergeometric Distribution; 4.5.4 Multinomial Distribution; 4.6 Normal Probability Distribution; 4.7 Sampling Distributions: Probability Distributions Generated by Random Sampling; 4.8 The t, ?2, and F Probability Distributions; 4.9 Summary; Problems; References; 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications 327 $a5.1 Introduction5.2 Estimation of Population Characteristics: Point and Interval Estimation; 5.2.1 Confidence Interval for a Population Mean ? with Variance ?2 Known; 5.2.2 Confidence Interval for a Population Mean ? with Variance ?2 Unknown; 5.2.3 Confidence Interval for the Variance ?2 of a Normal Population; 5.2.4 Confidence Interval for a Binomial Proportion p; 5.3 Testing Statistical Hypotheses; 5.3.1 Hypothesis Testing for a Population Mean ? ?2 Known; 5.3.2 Hypothesis Testing for a Population Mean ? ?2 Unknown; 5.3.3 Hypothesis Testing for a Normal Population Variance ?2 327 $a5.3.4 Hypothesis Testing for Binomial Parameter p5.4 Using SAS for Computations; 5.5 Summary; Problems; References; 6 Comparison of Two Groups: t-Tests and Rank Tests; 6.1 Introduction; 6.2 Use of t-Tests for Group Comparisons; 6.2.1 Paired t-Test for Comparing Means: A Test for Matched Pairs; 6.2.2 Two-Sample t-Test for Comparing Means: A Test for Two Independent Groups; 6.2.3 Cochran-Cox t-Test for Equality of Means: A Modified t-Test for Two Independent Groups; 6.2.4 The F-Test for Equality of Variances: A Test for Two Independent Groups; 6.2.5 Transformation of Data to Equalize Variance 327 $a6.3 Use of Rank Tests for Group Comparisons 330 $aThe new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand. 410 0$aWiley series in probability and statistics. 606 $aMedical statistics 606 $aBiometry 608 $aElectronic books. 615 0$aMedical statistics. 615 0$aBiometry. 676 $a610.15195 676 $a610/.21 700 $aWoolson$b Robert F$0460885 701 $aClarke$b William R$g(William Radue)$0113033 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139197303321 996 $aStatistical methods for the analysis of biomedical data$92260625 997 $aUNINA