Introduction | Examples | Expand by age-at-risk | Cox proportional hazards model stratified by age-at-risk | Multi-age group | Note | Using cox_model() and multiple_models() | References

Import data | Baseline and endpoint data | Identify case-subcohort participants | Prentice weighting | Prepare protein data | Analysis | Summarise results | Check for errors and warnings | Select one result per protein | Multiple testing | Present results

Import data | Prepare participant data | Baseline and endpoint data | Select subcohort participants | Participant exclusions | Prepare protein data | Analysis of one incident disease and protein | Analysis of many incident diseases and proteins | Summarise results | Check for errors and warnings | Select one result per protein | Multiple testing | Present results

Import data | Preparation of participant data | Select subcohort participants | Prepare protein data | One model | Analysis of multiple participant charateristics | Analysis of multiple proteins | Full analyses | Check for errors and warnings | Select one result per protein

Epidemiology tools | Proteomics | Package data

Introduction to CKB proteomics data | Observational proteomics analyses | Preparing proteomics data | Import data | Prepare protein data | Descriptive summary statistics | Olink: Limit of detection

Introduction | Number of events | Examples | Prepare example data | Identify relevant columns in the data set | Overall incidence rate | Crude incidence rates | Standardised by sex and age | Using the Normal approximation for confidence intervals | Using the gamma method for confidence intervals | External weights | Multiple groups | Methods | Confidence intervals | Date calculations using Epi package | References

Trend test | Example | Heterogeneity test | Methods | Trend | Heterogeneity | Notes | References

Introduction | float | Example | qvcalc | References

Examples with a scatter plot | Axis limits | Aspect ratio and panel sizes | Modifying the appearance of the plot | Data points outside axis limits | Bar chart example

Introduction | Basic usage | Row labels | Multiple panels | Adding columns of text | Scaling point size | Confidence interval lines | Different limits on panels | Adding heterogeneity and trend test results | Customisation

Introduction | CKB style | Plots | Saving | More

Introduction | Basic usage | Using groups | Adding lines | Categorical risk factor | Scaling point size | Confidence intervals | Customisation

Arguments | Adding to the ggplot | Adding aesthetics and arguments | Replacing parts of the plot | The data.function argument

ggsave | Save with title and footnote | Preview the output