Introductory Biostatistics

* Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises. * Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers. * Contains notes on computations at the end of most chapters, covering the use of Excel, SAS, and others. Content: Chapter 1 Descriptive Methods for Categorical Data (pages 1–56): Chapter 2 Descriptive Methods for Continuous Data (pages 57–107): Chapter 3 Probability and Probability Models (pages 108–146): Chapter 4 Estimation of Parameters (pages 147–187): Chapter 5 Introduction to Statistical Tests of Significance (pages 188–207): Chapter 6 Comparison of Population Proportions (pages 208–245): Chapter 7 Comparison of Population Means (pages 246–281): Chapter 8 Correlation and Regression (pages 282–313): Chapter 9 Logistic Regression (pages 314–349): Chapter 10 Methods for Count Data (pages 350–378): Chapter 11 Analysis of Survival Data and Data from Matched Studies (pages 379–444): Chapter 12 Study Designs (pages 445–482):

the Nuts-and-bolts Of Biostatistics–without The Anxiety

to Students In Public Health, Dentistry, Nursing, And Other Health Disciplines, The Introductory Course In Biostatistics Conjures Up Dread Images Of Mind-numbing Formulas And Dry-as-bones Texts. This Text, Adapted From And Expanding On His Bestselling Health And Numbers (wiley), Will Change Your Mind.

designed As An Antidote To The Usual Anxiety-producing Textbooks, Professor Chap T. Lee’s Introductory Biostatistics Is A Lively, User-friendly Introduction That Will Nurture Interest And Motivate Students To See Statistics As A "way Of Thinking" About Gathering And Analyzing Data–not Just A Bunch Of Formulas Or Data. It Is, As The Author Puts It, "the Science Of Dealing With Uncertainties Using Incomplete Information."

taking A Problems-based Approach Full Of Real-world Examples, The Text Slowly And Methodically Builds Understanding And Mastery Of The Fundamentals Of Biostatistics. It Briefly Covers Data Collection And Then Expands On The Subjects Of Descriptive Statistics, Statistical Inference, Probability, And Probability Models. Such Features As "brief Notes On The Fundamentals," End-of-chapter Notes On Computations Using Excel, And Samples Of Sas Computer Programs Strengthen The Reader’s Grasp Of The Background And The Concepts Of Biostatistical Procedures.

written For The Applied Statistician Seeking A Handy And Accessible Reference As Well As For Students Taking A Full-year Course, Introductory Biostatistics Fills A Long-time Need For A Reassuring, Sensitively-presented, Yet Thorough Exposure To A Subject Of Increasing Importance To Professionals In The Health Disciplines.

The nuts-and-bolts of biostatistics-without the anxietyTo students in public health, dentistry, nursing, and other health disciplines, the introductory course in biostatistics conjures up dread images of mind-numbing formulas and dry-as-bones texts. This text, adapted from and expanding on his bestselling Health and Numbers (Wiley), will change your mind. Designed as an antidote to the usual anxiety-producing textbooks, Professor Chap T. Lee's Introductory Biostatistics is a lively, user-friendly introduction that will nurture interest and motivate students to see statistics as a "way of thinking" about gathering and analyzing data-not just a bunch of formulas or data. It is, as the author puts it, "the science of dealing with uncertainties using incomplete information." Taking a problems-based approach full of real-world examples, the text slowly and methodically builds understanding and mastery of the fundamentals of biostatistics. It briefly covers data collection and then expands on the subjects of descriptive statistics, statistical inference, probability, and probability models. Such features as "Brief Notes on the Fundamentals," end-of-chapter notes on computations using Excel, and samples of SAS computer programs strengthen the reader's grasp of the background and the concepts of biostatistical procedures. Written for the applied statistician seeking a handy and accessible reference as well as for students taking a full-year course, Introductory Biostatistics fills a long-time need for a reassuring, sensitively-presented, yet thorough exposure to a subject of increasing importance to professionals in the health disciplines To students in public health, dentistry, nursing, and other health disciplines, the introductory course in biostatistics conjures up dread images of mind-numbing formulas and dry-as-bones texts. This text, adapted from and expanding on his bestselling Health and Numbers (Wiley), will change your mind. Designed as an antidote to the usual anxiety-producing textbooks, Professor Chap T. Lee's Introductory Biostatistics is a lively, user-friendly introduction that will nurture interest and motivate students to see statistics as a "way of thinking" about gathering and analyzing data -- not just a bunch of formulas or data. It is, as the author puts it, "the science of dealing with uncertainties using incomplete information." Taking a problems-based approach full of real-world examples, the text slowly and methodically builds understanding and mastery of the fundamentals of biostatistics. It briefly covers data collection and then expands on the subjects of descriptive statistics, statistical inference, probability, and probability models. Such features as "Brief Notes on the Fundamentals," end-of-chapter notes on computations using Excel, and samples of SAS computer programs strengthen the reader's grasp of the background and the concepts of biostatistical procedures. Written for the applied statistician seeking a handy and accessible reference as well as for students taking a full-year course, Introductory Biostatistics fills a long-time need for a reassuring, sensitively-presented, yet thorough exposure to a subject of increasing importance to professionals in the health disciplines. Written for professional and beginning graduate students in human health disciplines, this is a user-friendly and real data-based text that makes a difficult and dry subject accessible. It presents statistics as a way of thinking about ways to gather andanalyse data so as to be of benefit La cobertura de este libro es bastante breve en cuanto a colección de datos, pero muy extensa en estadística descriptiva; probabilidades sirven como unión entre las partes descriptivas e inferencial