Fundamentals of biostatistics /
Rosner, Bernard(Bernard A.)
Belmont, Calif. : Duxbury Press,
c1995.
System requirements for computer disk: IBM PC or compatible; DOS.
Includes bibliographical references and indexes.
Measures of central location -- Some properties of the arithmetic mean -- Measures of spread -- Some properties of the variance and standard deviation -- Coefficient of variation -- Grouped data -- Graphic methods for grouped data -- Effects of lead exposure on neurological and psychological function in children -- Definition of probability -- Some useful probabilistic notation -- Multiplication law of probability -- Addition law of probability.
(cont) Conditional probability -- Bayes rule and screening tests -- Prevalence and incidence -- Randome variables -- Probability mass function for a discrete random variable -- Expected value of a discrete random variable -- Variance of a discrete random variable -- Cumulative-distribution function of a discrete random variable -- Permutations and combinations -- Binomial distribution -- Expected value and variance of the binomial distribution -- Poisson distribution -- Computation of poisson prbabilities -- Expected value and variance of the poisson distribution -- Poisson approximation to the binomial distribution -- Normal distribution -- Properties of the standard normal distribution.
(cont) Converstion from an N distribution to an N distribution -- Linear combinations of random variables -- Normal approximation to the binomial distribution -- Normal approximation to the poisson distribution -- Relationship between population and sample -- Random-number tables -- Randomized clinical trials -- Estimation of the mean of a distribution -- Estimation of the variance of a distribution -- Estimation for the binomial distribution -- Estimation for the poisson distribution -- One-sided confidence intervals -- Hypothesis testing: one-sample inference -- One-sample test for the mean of a normal distribution with known variance: one-sided alternatives -- One-sample test for the mean of a normal distribution with known variance: two-side alternatives -- One-same t test -- Power of a test.
(cont) Sample-sixe determination -- Relationship between hypothesis testing and confidence intervals -- One-sample x2 test for the variance of a normal distribution -- One-sample test for a binomial proportion -- One-sample inference for the poisson distribution -- Hypothesis testing: two-sample inference -- Interval estimation for the comparison of means from two paired samples -- Two-sample t test for independent samples with equal variances -- Interval estimation for the comparison of means from two independent samples (equal variance case) -- Testing for the equality of two variances -- Two-sample t test for independent samples with unequal variances -- Case study: effects of lead exposure on neurological and psychological function in children.
(cont) Treatment of outliers -- Estimation of sample size and power for comparing two means -- Introduction to the one-way analysis of variance -- One-way analysis of variance-fixed-effects model -- Hypothesis testing in one-way ANOVA fixed-effects model -- Comparisons of specific groups in one-way ANOVA - Case study: effects of lead exposure on neurological and psychological function in children -- One-way ANOVA-The random-effects model -- Cross-over design -- Hypothesis testing: categorical data -- Two-sample test for binomial proportions -- Measures of effect for categorical data -- Fisher's exact test -- Two-sample test for binomial proportions for matched-pair data (McNemar's Test)
Biometry.
Medical statistics.