A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R Code The A-Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you step by step through model development and reporting results for publication. Transition from Student to Researcher Helping you become a confident researcher, the book begins with an overview of when-and when not-to use statistics. It guides you through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure your research efforts get the proper credit. The book concludes with case-control and cohort studies.
Research Essentials Prescription Fundamental Concepts Precautions Will the Data Require Statistical Methods? Summary PLANNING Hypotheses and Losses Prescription State the Objectives of Your Research Gather Qualitative Data Formulating Hypotheses Specify the Decisions and Associated Costs Specify the Alternatives Summary To Learn More Coping with Variation Prescription Start with Your Reports List All Outcomes of Interest List All Sources of Variation Describe How You Will Cope with Sources of Variation Establish a Time Line Should the Study Be Performed? To Learn More Experimental Design Prescription Define the Study Population The Purpose of Experimental Design K.I.S.S? Summary To Learn More DATA COLLECTION Fundamentals Prescription How Will You Make Your Measurements? Formal Descriptions of Methods and Materials Put Your Data in a Computer and Keep It There Forestall Disaster To Learn More Quality Control Prescription Potential Sources of Error Preventive Measures Make Baseline Measurements Conduct a Pilot Study Monitor the Data Collection Process Monitor the Data To Learn More ANALYZING YOUR DATA Describing the Data Prescription Box and Whiskers Plot Which Statistic? Interval Estimates Confidence Intervals for the Population Mean Confidence Intervals for Proportions Estimated from Randomized Responses Confidence Intervals for Other Population Characteristics An Improved Bootstrap Summary To Learn More Hypothesis Tests Prescription Types of Data Analyzing Data from a Single Population Comparing Two Populations Comparing Three or More Populations Experimental Designs To Learn More Multiple Variables and Multiple Tests Prescription Multiple Variables Multiple Tests To Learn More Miscellaneous Hypothesis Tests Prescription Hypothesis Tests and Confidence Intervals Testing for Equivalence When Variables Are Not Identically Distributed Testing for Trend Sample Size Determination Prescription Prepare a Budget Final Sample Size Initial Sample Size To Learn More BUILDING A MODEL Ordinary Least Squares Prescription Linear Regression Improving the Fit Increasing the Number of Predictors Analysis of Variance Summary To Learn More Alternate Regression Methods Prescription LAD Regression Quantile Regression Errors-in-Variables Regression Generalized Linear Models Classification Modeling Survival Data Principal Component Analysis Summary To Learn More Decision Trees Prescription How Trees Are Grown Incorporating Existing Knowledge Using the Decision Tree as an Aid to Decision Making Summary To Learn More REPORTING YOUR RESULTS Reports Prescription Choose a Journal Methods and Materials Results Reporting Your Analyses Discussion Introduction Abstract Bibliography Responding to Rejection To Learn More Oral Presentations Prescription Text Graphs Tables Better Graphics Prescription Creating Graphs with R To Learn More NONRANDOM SAMPLES Cohort and Case-Control Studies A Worked-Through Example Prescription Examples To Learn More R Primer Bibliography Author Index Subject Index R Function Index
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