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Epidemiological studies : a practical guide / Alan J. Silman and Gary J. Macfarlane.
Holman Biotech Commons RA652.4 .S55 2002
Available
- Format:
- Book
- Author/Creator:
- Silman, Alan J.
- Language:
- English
- Subjects (All):
- Epidemiology--Methodology.
- Epidemiology.
- Epidemiologic Methods.
- Medical Subjects:
- Epidemiologic Methods.
- Physical Description:
- xiv, 241 pages : illustrations ; 26 cm
- Edition:
- Second edition.
- Place of Publication:
- Cambridge, UK ; New York, NY : Cambridge University Press, 2002.
- Summary:
- An accessible practical introduction to epidemiology in medical research.
- Contents:
- 1 Scope of epidemiological enquiry and overview of main problem areas 3
- 1.1 What questions can epidemiology answer? 3
- 1.2 What are the major issues in conducting epidemiological research? 7
- Part II Measuring the Occurrence of Disease
- 2 Which measure of disease occurrence? 13
- 2.1 Incidence 13
- 2.2 Prevalence 16
- 2.3 Choice of measure 17
- 3 Comparing rates: between and within populations 20
- 3.2 Standardisation 21
- 3.3 Comparison of rates over time 24
- Part III Studying Associations Between Risk Factors and Disease
- 4 Which type of study? 31
- 4.1 The ecologic study 31
- 4.2 The migrant study 33
- 4.3 The cross-sectional study 35
- 4.4 The case-control study 37
- 4.5 The cohort study 39
- 4.6 Choice of study design 41
- 5 Which measure of association? 45
- 5.1 Relative risks 45
- 5.2 Odds ratios 47
- 5.3 Attributable risks 48
- 5.4 Precision of measures in association 49
- 5.5 Categorisation of exposures 49
- Part IV Selection of Populations and Samples to Study
- 6 Studies of disease occurrence. I: Identification of the population 53
- 6.1 Representativeness 54
- 6.2 Access 55
- 6.3 Population data accuracy 56
- 6.4 Study size 57
- 7 Studies of disease occurrence. II: Assessing disease status in study populations 60
- 7.1 Approaches to measuring incidence 60
- 7.2 Use of diagnosed cases: retrospective review or prospective notification? 63
- 7.3 Defining cases with the catchment population approach 65
- 7.4 Use of cross-sectional population surveys to assess incidence 67
- 7.5 Approaches to measuring prevalence 68
- 7.6 Catchment population methods for measuring prevalence 69
- 7.7 Population surveys 70
- 7.8 Other (indirect) measures 71
- 8 Studies of disease causation. I: Selection of subjects for case-control studies 74
- 8.1 Recruitment of cases 74
- 8.2 Recruitment of controls 82
- 8.3 One or two control groups? 87
- 8.4 Matching 88
- 8.5 Study size 90
- 9 Studies of disease causation. II: Selection of subjects for cohort (longitudinal) studies 93
- 9.1 Retrospective or prospective study cohorts? 93
- 9.2 How should exposure be categorised? 95
- 9.3 Study size 97
- Part V Information from Epidemiological Surveys
- 10 Collecting information 103
- 10.1 Interview or subject completing questionnaire? 103
- 10.2 How to formulate a questionnaire 106
- 11 Obtaining valid information 111
- 11.2 Sensitivity and specificity 112
- 11.3 Validity for variables that are not dichotomous 115
- 11.4 Possible approaches for independent validation 116
- 11.5 Misclassification 118
- 12 Repeatability 120
- 12.2 Study designs to measure repeatability 122
- 13 Maximising participation 128
- 13.2 Reasons for non-participation 128
- 13.3 Maximising participation in follow-up 132
- 14 Conducting a pilot study 138
- 14.1 Aims 138
- Part VI Analysis and Interpretation of Epidemiological Data
- 15 Preparation of survey data for statistical analysis 145
- 15.2 Initial checking for completeness and accuracy 147
- 15.3 Linkage by subject of data from multiple sources 149
- 15.4 Development of a data coding schedule 149
- 15.5 Development of a computer database 151
- 15.6 Procedure for data entry 153
- 15.7 Checking for errors in entered data 154
- 15.8 Missing data 155
- 15.9 Recoding of entered data 156
- 15.10 Storage of data and data set 157
- 16 Introductory data analysis: descriptive epidemiology 158
- 16.2 Incidence rates 158
- 16.3 Prevalence (proportions) 160
- 16.4 Crude, age-specific and standardised rates 163
- 17 Introductory data analysis: analytical epidemiology 168
- 17.2 Effect measurement, interval assessment and significance testing 170
- 17.3 Analysis of case-control studies 171
- 17.4 Analysis of cohort studies 179
- 18 Confounding 188
- 18.2 Minimising confounding in study design 190
- 18.3 Conduct of study 191
- 18.4 Analysis 192
- 19 Bias 201
- 19.2 Major sources of bias 203
- 19.3 Selection bias 204
- 19.4 Information bias 209
- 19.5 Is an unbiased study ever possible? 212
- Part VII Other Practical Issues
- 20 Ethical issues in epidemiology 215
- 20.2 Ethical approval 215
- 20.3 Ethical constraints in maximising response rate 216
- 20.4 Confidentiality and data protection 218
- 20.5 Detection of previously unrecognised disease 221
- 20.6 Consent 225
- 21 The costs of epidemiological studies 228
- 21.1 Costs versus design 228
- 21.2 Costing an epidemiological study 229
- 21.3 Possibilities for cost containment 233
- 21.4 Wasting resources 235.
- Notes:
- Includes index.
- ISBN:
- 0521810973
- 0521009391
- OCLC:
- 47756549
- Online:
- Publisher description
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