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Home > Standards & Guidances > Methodological Guide

ENCePP Guide on Methodological Standards in Pharmacoepidemiology Methods to study waning immunity

The study of vaccine effectiveness against diseases where immunity wanes over time requires consideration of both the within-host dynamics of the pathogen and immune system as well as the associated population-level transmission dynamics. Implications of vaccination and waning immunity (Proc Biol Sci 2009; 276(1664):2071-80) seeks to combine immunological and epidemiological models for measles infection to examine the interplay between disease incidence, waning immunity and boosting.


Individual Chapters:


1. General aspects of study protocol

2. Research question

3. Approaches to data collection

3.1. Primary data collection

3.2. Secondary use of data

3.3. Research networks

3.4. Spontaneous report database

3.5. Using data from social media and electronic devices as a data source

3.5.1. General considerations

4. Study design and methods

4.1. General considerations

4.2. Challenges and lessons learned

4.2.1. Definition and validation of drug exposure, outcomes and covariates Assessment of exposure Assessment of outcomes Assessment of covariates Validation

4.2.2. Bias and confounding Choice of exposure risk windows Time-related bias Immortal time bias Other forms of time-related bias Confounding by indication Protopathic bias Surveillance bias Unmeasured confounding

4.2.3. Methods to handle bias and confounding New-user designs Case-only designs Disease risk scores Propensity scores Instrumental variables Prior event rate ratios Handling time-dependent confounding in the analysis

4.2.4. Effect modification

4.3. Ecological analyses and case-population studies

4.4. Hybrid studies

4.4.1. Pragmatic trials

4.4.2. Large simple trials

4.4.3. Randomised database studies

4.5. Systematic review and meta-analysis

4.6. Signal detection methodology and application

5. The statistical analysis plan

5.1. General considerations

5.2. Statistical plan

5.3. Handling of missing data

6. Quality management

7. Communication

7.1. Principles of communication

7.2. Guidelines on communication of studies

8. Legal context

8.1. Ethical conduct, patient and data protection

8.2. Pharmacovigilance legislation

8.3. Reporting of adverse events/reactions

9. Specific topics

9.1. Comparative effectiveness research

9.1.1. Introduction

9.1.2. General aspects

9.1.3. Prominent issues in CER Randomised clinical trials vs. observational studies Use of electronic healthcare databases Bias and confounding in observational CER

9.2. Vaccine safety and effectiveness

9.2.1. Vaccine safety General aspects Signal detection Signal refinement Hypothesis testing studies Meta-analyses Studies on vaccine safety in special populations

9.2.2. Vaccine effectiveness Definitions Traditional cohort and case-control studies Screening method Indirect cohort (Broome) method Density case-control design Test negative design Case coverage design Impact assessment Methods to study waning immunity

9.3. Design and analysis of pharmacogenetic studies

9.3.1. Introduction

9.3.2. Identification of genetic variants

9.3.3. Study designs

9.3.4. Data collection

9.3.5. Data analysis

9.3.6. Reporting

9.3.7. Clinical practice guidelines

9.3.8. Resources

Annex 1. Guidance on conducting systematic revies and meta-analyses of completed comparative pharmacoepidemiological studies of safety outcomes