Overview | Example: ovarian cancer dataset | Static Cox model | Setting up the landmark analysis | Crude landmarking | Superlandmarking | Displaying results

Setup | Example: aids data | Initialising the landmarking analysis for cross-validation | Performance evaluation in hold-out dataset | Cross-validation

Overview | Setup | Example: aids data | Initialising the landmarking analysis | Baseline survival analysis (without time-varying covariates) | Landmarking analysis with lme4 + coxph | Landmarking analysis with lcmm + coxph

Introduction | Installation and Setup | Prerequisites | Launching the App | Theme Options | Step-by-Step Usage Guide | 1. File Upload | 2. Column Selection | 3. Imputation Settings | Day of Month Imputation | Month Imputation | Format Assumption | 4. Processing and Review | 5. Download Results | Advanced Features | File Format Support | Error Handling | Data Privacy | Example Workflow

Introduction | Installation and Setup | Prerequisites | Launching the App | Theme Options | Step-by-Step Usage Guide | 1. File Upload | 2. Column Selection | 3. Imputation Settings | Day of Month Imputation | Month Imputation | Format Assumption | 4. Processing and Review | 5. Download Results | Advanced Features | File Format Support | Error Handling | Data Privacy | Example Workflow

Introduction | Supported Languages and Formats | Fully Supported Languages | Language Detection Features | Language-Specific Examples | English | French (Français) | German (Deutsch) | Spanish (Español) | Portuguese | Russian (Русский) | Indonesian (Bahasa Indonesia) | Handling Mixed Languages | Format Detection | Roman Numeral Support (Experimental) | Best Practices | Adding New Languages

Introduction | Supported Languages and Formats | Fully Supported Languages | Language Detection Features | Language-Specific Examples | English | French (Français) | German (Deutsch) | Spanish (Español) | Portuguese | Russian (Русский) | Indonesian (Bahasa Indonesia) | Handling Mixed Languages | Format Detection | Roman Numeral Support (Experimental) | Best Practices | Adding New Languages

Introduction | Key Features | Core Functions | When to Use datefixR | Core Workflow | Date standardization | Advanced Topics | Localization | Date and Month Imputation | Converting Numeric Dates | Roman Numeral Months Experimental | Error & Edge-Case Handling | Common Error Examples | FAQ | Understanding Year Parsing Logic | Two-Digit vs Four-Digit Years | Automatic YMD Detection Logic | 1. Year-First Detection | 2. Month Name Detection | 3. Numeric Component Defaults | 4. Handling Ambiguous Cases | 5. Format Detection Examples | Overriding Automatic Detection | Explicit Format Specification | Data Frame Processing | Citation

Introduction | Key Features | Core Functions | When to Use datefixR | Core Workflow | Date standardization | Advanced Topics | Localization | Date and Month Imputation | Converting Numeric Dates | Roman Numeral Months Experimental | Error & Edge-Case Handling | Common Error Examples | FAQ | Understanding Year Parsing Logic | Two-Digit vs Four-Digit Years | Automatic YMD Detection Logic | 1. Year-First Detection | 2. Month Name Detection | 3. Numeric Component Defaults | 4. Handling Ambiguous Cases | 5. Format Detection Examples | Overriding Automatic Detection | Explicit Format Specification | Data Frame Processing | Citation

Using | Using base R

Introduction | Quick Start | The Cancer Data Set | MCMC chains | Diagnostics | Deviance Information Criterion | Log-Marginal Likelihood | Leave-One-Out Cross-Validation Analysis | Outlier Detection | References