Understanding Clinical Papers

Understanding Clinical Papers
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Описание книги

Understanding Clinical Papers is a popular and well established introduction to reading clinical papers. It unravels the process of evidence-based practice, using real papers to illustrate how to understand and evaluate published research, and it goes on to provide explanations of important research-related topics.

Оглавление

David Bowers. Understanding Clinical Papers

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

Understanding Clinical Papers

Preface to the First Edition

Preface to the Second Edition

SOME NOTES ON STATISTICAL SOFTWARE

WRITING PAPERS FOR CLINICAL JOURNALS

Preface to the Third Edition

Preface to the Fourth Edition

CHAPTER 1 Some Preliminaries

WHO WROTE THE PAPER?

IN WHAT SORT OF JOURNAL DOES THE PAPER APPEAR?

WHO (AND WHAT) IS ACKNOWLEDGED?

Note

CHAPTER 2 The Abstract and Introduction

THE ABSTRACT

THE INTRODUCTION

ETHICAL CONSIDERATIONS

CHAPTER 3 The Aims and Objectives

HYPOTHESES

OBJECTIVES THAT ARE NOT HYPOTHESIS TESTING

STUDIES WITH UNCLEAR OBJECTIVES

CHAPTER 4 Descriptive Studies: Qualitative

QUALITATIVE RESEARCH

TYPES OF QUALITATIVE STUDY

Theoretical Approaches

Practical Data Gathering

CHAPTER 5 Descriptive Studies: Quantitative

CASE REPORTS

CASE SERIES

CROSS‐SECTIONAL STUDIES

LONGITUDINAL STUDIES

CHAPTER 6 Analytic Studies

ECOLOGICAL STUDIES

CROSS‐SECTIONAL, TWO‐GROUP STUDIES

CASE–CONTROL STUDIES

COHORT ANALYTIC STUDIES

Prospective and Retrospective Cohort Designs

VARIATIONS IN CASE–CONTROL AND COHORT DESIGNS

COMPARING AND CONTRASTING CASE–CONTROL AND COHORT STUDIES

‘STROBE' GUIDELINES

CHAPTER 7 Intervention Studies

TRIALS

RANDOM ALLOCATION AND ITS CONCEALMENT

CONSENT AND RANDOMIZATION IN TRIALS

PLACEBOS OR TREATMENT‐AS‐USUAL

PRAGMATIC AND EXPLANATORY TRIALS

INTENTION‐TO‐TREAT ANALYSIS

FEASIBILITY AND PILOT STUDIES

CLUSTER RANDOMIZED TRIALS

ADAPTIVE TRIAL DESIGN

CONSORT GUIDELINES

CHAPTER 8 Mixed Methods Research

CHAPTER 9 Studies of Complex Interventions

CHAPTER 10 Systematic Review and Meta‐Analysis

SYSTEMATIC REVIEW

PUBLICATION AND OTHER BIASES

THE FUNNEL PLOT

HETEROGENEITY

COMBINING THE STUDIES

‘PRISMA' GUIDELINES

SYSTEMATIC REVIEW OF NON‐TRIALS RESEARCH

CHAPTER 11. Systematic Review of Qualitative Studies

CHAPTER 12. The Research Setting

CHAPTER 13 Populations and Samples in Quantitative Research

SAMPLING

SAMPLE SIZE AND POWER

CHAPTER 14 Research Using Already‐Collected Data

SOURCES OF ALREADY‐COLLECTED DATA

PROBLEMS WITH ALREADY‐COLLECTED DATA

MISSING DATA IN ALREADY‐COLLECTED DATASETS

CONFOUNDING IN ALREADY‐COLLECTED DATA

CHAPTER 15 The Sample in Qualitative Research

THE NATURE OF SAMPLES IN QUALITATIVE RESEARCH

SAMPLE SIZE IN QUALITATIVE RESEARCH

SAMPLING FOR QUALITATIVE RESEARCH

CHAPTER 16. Identifying and Defining Cases

CHAPTER 17 Controls and Comparisons

CHAPTER 18 Identifying the Characteristics of Quantitative Data

TYPES OF VARIABLE – TYPES OF DATA

IDENTIFYING DATA TYPE

SHAPES OF DISTRIBUTIONS

Note

CHAPTER 19 Summarizing the Characteristics of Quantitative Data

SUMMARY MEASURES OF LOCATION

SUMMARY MEASURES OF SPREAD

Note

CHAPTER 20 Identifying and Summarising the Characteristics of Qualitative Data

CHAPTER 21 Measuring the Characteristics of Participants: Quantitative

INFORMATION AND MEASUREMENT BIAS

BIAS ARISING FROM MISSING VALUES

CHAPTER 22. Measuring the Characteristics of Participants: Qualitative

CHAPTER 23 Diagnostic Tests: Measuring the Characteristics of Measures

THE MEASURES

THE SENSITIVITY VERSUS SPECIFICITY TRADE‐OFF – THE RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE

Note

CHAPTER 24 Measurement Scales

THE MEASUREMENT PROBLEM

WHAT ARE MEASUREMENT SCALES?

WHEN AUTHORS USE DATA FROM MEASUREMENT SCALES

DEVELOPMENT OF A NEW MEASUREMENT SCALE

SCALE CONSTRUCTION

DESIRABLE PROPERTIES OF SCALES

Scale Validity

Face Validity

Content Validity

Criterion and Concurrent Validity

Construct Validity

Reliability

Internal Consistency – Cronbach's Alpha (α)

Stability

Phase 6 – Test–Retest Stability

Responsiveness – Sensitivity to Change

The Use of Receiver Operating Characteristic Curves with Scale Scores

CHAPTER 25 Exploring and Explaining: Topic Guides

CHAPTER 26 Fractions, Proportions, and Rates

CHAPTER 27 Risks and Odds

RISK

ODDS

CHAPTER 28 Ratios of Risks and Odds. RISK RATIO

ODDS RATIO

CLINICAL TRIALS AND ‘NUMBERS NEEDED TO TREAT'

CHAPTER 29 Confidence Intervals for Means, Proportions, and Medians

WHAT IS A CONFIDENCE INTERVAL?

CONFIDENCE INTERVALS FOR DIFFERENCES IN TWO MEANS

CONFIDENCE INTERVALS AND CLINICAL EFFECTIVENESS

CONFIDENCE INTERVALS FOR DIFFERENCES IN TWO PERCENTAGES

CONFIDENCE INTERVALS FOR DIFFERENCES IN TWO MEDIANS

Notes

CHAPTER 30 Confidence Intervals for Ratios

CONFIDENCE INTERVALS FOR ODDS RATIOS

CONFIDENCE INTERVALS FOR RISK RATIOS

CONFIDENCE INTERVALS FOR HAZARD RATIOS

CHAPTER 31 Testing Hypotheses – The p‐value

ASSESSING THE EVIDENCE AGAINST THE HYPOTHESIS – THE P‐VALUE

MAKING THE WRONG DECISION – TYPES OF ERROR

False Positives (or Type I Errors)

Multiple Comparisons

False Negatives (or Type II Errors)

HYPOTHESIS TESTS AND CONFIDENCE INTERVALS COMPARED

TWO‐TAILED VERSUS ONE‐TAILED TESTS

MATCHED VERSUS INDEPENDENT GROUPS

The χ2 Test

The χ2 Test with Odds Ratios, Risk Ratios, etc

The χ2 Test for Trend

The Two‐Sample t‐Test. The Two‐Sample t‐Test with Independent Samples

The Matched‐Pairs t‐Test

TRANSFORMING DATA

FINALLY

Notes

CHAPTER 32 Measuring Association

MEASURING ASSOCIATION. The Scatterplot

THE CORRELATION COEFFICIENT

Note

CHAPTER 33 Measuring Agreement

MEASURING AGREEMENT WITH NOMINAL DATA

INTERPRETING κ

AGREEMENT WITH ORDINAL DATA: WEIGHTED κ

MEASURING AGREEMENT WITH METRIC DATA

Notes

CHAPTER 34 Linear Regression. WHY REGRESSION?

LINEAR REGRESSION

ESTIMATING THE REGRESSION COEFFICIENTS – ORDINARY LEAST SQUARES ESTIMATION

MEASURING THE STATISTICAL SIGNIFICANCE OF THE REGRESSION PARAMETERS

MODEL‐BUILDING AND VARIABLE SELECTION

AUTOMATED (OR STEPWISE) VARIABLE SELECTION

MANUAL VARIABLE SELECTION METHODS

INTERPRETING THE REGRESSION COEFFICIENTS

GOODNESS‐OF‐FIT

DUMMY (OR DESIGN) VARIABLES

TESTING THE ASSUMPTIONS OF THE LINEAR REGRESSION MODEL

EFFECT MODIFICATION AND INTERACTION

SUMMARY

ANALYSIS OF VARIANCE (ANOVA)

MULTIVARIATE STATISTICS

Notes

CHAPTER 35 Logistic Regression

THE LOGISTIC REGRESSION MODEL

VARIABLE SELECTION AND MODEL ESTIMATION

INTERPRETATION AND STATISTICAL SIGNIFICANCE OF THE REGRESSION COEFFICIENTS

DUMMY VARIABLES

GOODNESS‐OF‐FIT

EFFECT MODIFICATION – INTERACTION

MODEL DIAGNOSTICS

Note

CHAPTER 36 Poisson Regression. PREAMBLE

POISSON REGRESSION

ESTIMATING THE REGRESSIN PARAMETERS

INTERPRETING THE ESTIMATED COEFFICIENTS OF A POISSON REGRESSION, b1, b2, etc.3

WHEN THE OUTCOME VARIABLE Y IS A COUNT

WHEN THE OUTCOME VARIABLE IS A RATE

CHOOSING THE COVARIATES – MODEL‐BUILDING

GOODNESS‐OF‐FIT

ZERO‐INFLATED POISSON REGRESSION

NEGATIVE BINOMIAL REGRESSION

ZERO‐INFLATED NEGATIVE BINOMIAL REGRESSION (ZNIB)

Notes

CHAPTER 37 Measuring Survival

THE KAPLAN–MEIER METHOD – MEDIAN SURVIVAL TIME

THE LOG‐RANK TEST

LOG‐RANK TEST FOR TREND

THE PROPORTIONAL HAZARDS (OR COX'S) REGRESSION MODEL

Checking the Proportional Hazards Assumption

Notes

CHAPTER 38. Analysing Qualitative Data

CHAPTER 39 Results in Text and Tables. RAW RESULTS AND COOKED FINDINGS

INTERESTING FINDINGS

LEGENDS AND BRACKETS

DASHES

CHAPTER 40 Results in Pictures. WHY USE CHARTS AND FIGURES?

SHAPE OF DISTRIBUTIONS

CHAPTER 41 The Discussion and Conclusions

References

Index

WILEY END USER LICENSE AGREEMENT

Отрывок из книги

Fourth Edition

David Bowers

.....

Primarily, this book should be of interest to the following individuals:

In addition, this book should appeal to individuals who although are not themselves clinicians but nonetheless find themselves in a clinical setting, and need some understanding of what the published clinical research in their area means. These people would include:

.....

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