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Fundamentals of biostatistics /

Rosner, Bernard

Fundamentals of biostatistics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of biostatistics // Bernard Rosner.
Author:	Rosner, Bernard
Published:	Boston :Brooks/Cole, Cengage Learning, : c2011.,
[NT 15000922]:	7th ed.
Description:	xvii, 859 p. :ill. ; : 27 cm.;
Subject:	Biometry -
ISBN:	9780538733496 (hard) :

Fundamentals of biostatistics /
Rosner, Bernard

Fundamentals of biostatistics /Bernard Rosner. - 7th ed. - Boston :Brooks/Cole, Cengage Learning,c2011. - xvii, 859 p. :ill. ;27 cm.

Includes bibliographical references and indexes.

General Overview --Machine generated contents note:

ISBN: 9780538733496 (hard) :NT5925

LCCN: 2010922638

Nat. Bib. No.: GBB095339bnbSubjects--Topical Terms:

204487
Biometry

LC Class. No.: QH323.5 / .R674 2011

National Agricultural Library Call No.: QH323.5 / .R674 2011

National Library of Medicine Call No.: 2011 B-918

Fundamentals of biostatistics /
LDR:09042cam a2200397 a 4500 001 238106
003 OCoLC
005 20120119043414.0
008 120217s2011 maua b 001 0 eng
010 $a 2010922638
015 $a GBB095339 $2 bnb
019 $a 655657720
020 $a 9780538733496 (hard) : $c NT5925
020 $a 0538733497 (hard)
020 $a 9780538735896 (pbk.)
020 $a 0538735899 (pbk.)
035 $a (OCoLC)660057729 $z (OCoLC)655657720
035 $a 23100000004
040 $a KMU $b KMU
049 $a FISA
050 0 0 $a QH323.5 $b .R674 2011
060 0 0 $a 2011 B-918
060 1 0 $a QH 323.5
070 0 $a QH323.5 $b .R674 2011
100 1 $a Rosner, Bernard $q (Bernard A.) $3 311114
245 1 0 $a Fundamentals of biostatistics / $c Bernard Rosner.
250 $a 7th ed.
260 $a Boston : $c c2011. $b Brooks/Cole, Cengage Learning,
300 $a xvii, 859 p. : $b ill. ; $c 27 cm.
504 $a Includes bibliographical references and indexes.
505 0 0 $g Machine generated contents note: $g ch. 1 $t General Overview -- $g ch. 2 $t Descriptive Statistics -- $g 2.1. $t Introduction -- $g 2.2. $t Measures of Location -- $g 2.3. $t Some Properties of the Arithmetic Mean -- $g 2.4. $t Measures of Spread -- $g 2.5. $t Some Properties of the Variance and Standard Deviation -- $g 2.6. $t The Coefficient of Variation -- $g 2.7. $t Grouped Data -- $g 2.8. $t Graphic Methods -- $g 2.9. $t Case Study 1: Effects of Lead Exposure on Neurological and Psychological Function in Children -- $g 2.10. $t Case Study 2: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women -- $g 2.11. $t Obtaining Descriptive Statistics on the Computer -- $g 2.12. $t Summary -- $t Problems -- $g ch. 3 $t Probability -- $g 3.1. $t Introduction -- $g 3.2. $t Definition of Probability -- $g 3.3. $t Some Useful Probabilistic Notation -- $g 3.4. $t The Multiplication Law of Probability -- $g 3.5. $t The Addition Law of Probability -- $g 3.6. $t Conditional Probability -- $g 3.7. $t Bayes' Rule and Screening Tests
505 0 0 $g 3.8. $t Bayesian Inference -- $g 3.9. $t ROC Curves -- $g 3.10. $t Prevalence and Incidence -- $g 3.11. $t Summary -- $t Problems -- $g ch. 4 $t Discrete Probability Distributions -- $g 4.1. $t Introduction -- $g 4.2. $t Random Variables -- $g 4.3. $t The Probability-Mass Function for a Discrete Random Variable -- $g 4.4. $t The Expected Value of a Discrete Random Variable -- $g 4.5. $t The Variance of a Discrete Random Variable -- $g 4.6. $t The Cumulative-Distribution Function of a Discrete Random Variable -- $g 4.7. $t Permutations and Combinations -- $g 4.8. $t The Binomial Distribution -- $g 4.9. $t Expected Value and Variance of the Binomial Distribution -- $g 4.10. $t The Poisson Distribution -- $g 4.11. $t Computation of Poisson Probabilities -- $g 4.12. $t Expected Value and Variance of the Poisson Distribution -- $g 4.13. $t Poisson Approximation to the Binomial Distribution -- $g 4.14. $t Summary -- $t Problems -- $g ch. 5 $t Continuous Probability Distributions -- $g 5.1. $t Introduction -- $g 5.2. $t General Concepts -- $g 5.3. $t The Normal Distribution -- $g 5.4. $t Properties of the Standard Normal Distribution
505 0 0 $g 5.5. $t Conversion from an N(μ, σ2) Distribution to an N(0, 1) Distribution -- $g 5.6. $t Linear Combinations of Random Variables -- $g 5.7. $t Normal Approximation to the Binomial Distribution -- $g 5.8. $t Normal Approximation to the Poisson Distribution -- $g 5.9. $t Summary -- $t Problems -- $g ch. 6 $t Estimation -- $g 6.1. $t Introduction -- $g 6.2. $t The Relationship Between Population and Sample -- $g 6.3. $t Random-Number Tables -- $g 6.4. $t Randomized Clinical Trials -- $g 6.5. $t Estimation of the Mean of a Distribution -- $g 6.6. $t Case Study: Effects of Tobacco Use on Bone-Mineral Density (BMD) in Middle-Aged Women -- $g 6.7. $t Estimation of the Variance of a Distribution -- $g 6.8. $t Estimation for the Binomial Distribution -- $g 6.9. $t Estimation for the Poisson Distribution -- $g 6.10. $t One-Sided Cls -- $g 6.11. $t Summary -- $t Problems -- $g ch. 7 $t Hypothesis Testing: One-Sample Inference -- $g 7.1. $t Introduction -- $g 7.2. $t General Concepts -- $g 7.3. $t One-Sample Test for the Mean of a Normal Distribution: One-Sided Alternatives -- $g 7.4. $t One-Sample Test for the Mean of a Normal Distribution: Two-Sided Alternatives
505 0 0 $g 7.5. $t The Power of a Test -- $g 7.6. $t Sample-Size Determination -- $g 7.7. $t The Relationship Between Hypothesis Testing and Confidence Intervals -- $g 7.8. $t Bayesian Inference -- $g 7.9. $t One-Sample x2 Test for the Variance of a Normal Distribution -- $g 7.10. $t One-Sample Inference for the Binomial Distribution -- $g 7.11. $t One-Sample Inference for the Poisson Distribution -- $g 7.12. $t Case Study: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women -- $g 7.13. $t Summary -- $t Problems -- $g ch. 8 $t Hypothesis Testing: Two-Sample Inference -- $g 8.1. $t Introduction -- $g 8.2. $t The Paired t Test -- $g 8.3. $t Interval Estimation for the Comparison of Means from Two Paired Samples -- $g 8.4. $t Two-Sample t Test for Independent Samples with Equal Variances -- $g 8.5. $t Interval Estimation for the Comparison of Means from Two Independent Samples (Equal Variance Case) -- $g 8.6. $t Testing for the Equality of Two Variances -- $g 8.7. $t Two-Sample t Test for Independent Samples with Unequal Variances -- $g 8.8. $t Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children
505 0 0 $g 8.9. $t The Treatment of Outliers -- $g 8.10. $t Estimation of Sample Size and Power for Comparing Two Means -- $g 8.11. $t Sample-Size Estimation for Longitudinal Studies -- $g 8.12. $t Summary -- $t Problems -- $g ch. 9 $t Nonparametric Methods -- $g 9.1. $t Introduction -- $g 9.2. $t The Sign Test -- $g 9.3. $t The Wilcoxon Signed-Rank Test -- $g 9.4. $t The Wilcoxon Rank-Sum Test -- $g 9.5. $t Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children -- $g 9.6. $t Summary -- $t Problems -- $g ch. 10 $t Hypothesis Testing: Categorical Data -- $g 10.1. $t Introduction -- $g 10.2. $t Two-Sample Test for Binomial Proportions -- $g 10.3. $t Fisher's Exact Test -- $g 10.4. $t Two-Sample Test for Binomial Proportions for Matched-Pair Data (McNemar's Test) -- $g 10.5. $t Estimation of Sample Size and Power for Comparing Two Binomial Proportions -- $g 10.6. $t RxC Contingency Tables -- $g 10.7. $t Chi-Square Goodness-of-Fit Test -- $g 10.8. $t The Kappa Statistic -- $g 10.9. $t Summary -- $t Problems -- $g ch. 11 $t Regression and Correlation Methods -- $g 11.1. $t Introduction -- $g 11.2. $t General Concepts
505 0 0 $g 11.3. $t Fitting Regression Lines -- The Method of Least Squares -- $g 11.4. $t Inferences About Parameters from Regression Lines -- $g 11.5. $t Interval Estimation for Linear Regression -- $g 11.6. $t Assessing the Goodness of Fit of Regression Lines -- $g 11.7. $t The Correlation Coefficient -- $g 11.8. $t Statistical Inference for Correlation Coefficients -- $g 11.9. $t Multiple Regression -- $g 11.10. $t Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children -- $g 11.11. $t Partial and Multiple Correlation -- $g 11.12. $t Rank Correlation -- $g 11.13. $t Interval Estimation for Rank-Correlation Coefficients -- $g 11.14. $t Summary -- $t Problems -- $g ch. 12 $t Multisample Inference -- $g 12.1. $t Introduction to the One-Way Analysis of Variance -- $g 12.2. $t One-Way ANOVA -- Fixed-Effects Model -- $g 12.3. $t Hypothesis Testing in One-Way ANOVA -- Fixed-Effects Model -- $g 12.4. $t Comparisons of Specific Groups in One-Way ANOVA -- $g 12.5. $t Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children -- $g 12.6. $t Two-Way ANOVA
505 0 0 $g 12.7. $t The Kruskal-Wallis Test -- $g 12.8. $t One-Way ANOVA -- The Random-Effects Model -- $g 12.9. $t The Intraclass Correlation Coefficient -- $g 12.10. $t Mixed Models -- $g 12.11. $t Summary -- $t Problems -- $g ch. 13 $t Design and Analysis Techniques for Epidemiologic Studies -- $g 13.1. $t Introduction -- $g 13.2. $t Study Design -- $g 13.3. $t Measures of Effect for Categorical Data -- $g 13.4. $t Attributable Risk -- $g 13.5. $t Confounding and Standardization -- $g 13.6. $t Methods of Inference for Stratified Categorical Data -- The Mantel-Haenszel Test -- $g 13.7. $t Power and Sample-Size Estimation for Stratified Categorical Data -- $g 13.8. $t Multiple Logistic Regression -- $g 13.9. $t Extensions to Logistic Regression -- $g 13.10. $t Meta-Analysis -- $g 13.11. $t Equivalence Studies -- $g 13.12. $t The Cross-Over Design -- $g 13.13. $t Clustered Binary Data -- $g 13.14. $t Longitudinal Data Analysis -- $g 13.15. $t Measurement-Error Methods -- $g 13.16. $t Missing Data -- $g 13.17. $t Summary -- $t Problems -- $g ch. 14 $t Hypothesis Testing: Person-Time Data -- $g 14.1. $t Measure of Effect for Person-Time Data
505 0 0 $g 14.2. $t One-Sample Inference for Incidence-Rate Data -- $g 14.3. $t Two-Sample Inference for Incidence-Rate Data -- $g 14.4. $t Power and Sample-Size Estimation for Person-Time Data -- $g 14.5. $t Inference for Stratified Person-Time Data -- $g 14.6. $t Power and Sample-Size Estimation for Stratified Person-Time Data -- $g 14.7. $t Testing for Trend: Incidence-Rate Data -- $g 14.8. $t Introduction to Survival Analysis -- $g 14.9. $t Estimation of Survival Curves: The Kaplan-Meier Estimator -- $g 14.10. $t The Log-Rank Test -- $g 14.11. $t The Proportional-Hazards Model -- $g 14.12. $t Power and Sample-Size Estimation under the Proportional-Hazards Model -- $g 14.13. $t Parametric Survival Analysis -- $g 14.14. $t Parametric Regression Models for Survival Data -- $g 14.15. $t Summary -- $t Problems.
650 0 $2 96060 $a Biometry $3 204487
650 0 $2 96060 $a Medical statistics $3 226794
650 1 2 $a Biostatistics. $3 311115
650 2 2 $2 96060 $a Biometry. $3 243084