Preface List of Figures List of Tables Glossary Abbreviations Introduction to Life History Processes and Multistate Models Life History Analysis with Multistate Models Some Illustrative Studies Disease Recurrence Following Treatment in a Clinical Trial Complications from Type Diabetes Joint Damage in Psoriatic Arthritis Viral Load Dynamics in Individuals with HIV Infection Introduction to Multistate Processes Counting Processes and Multistate Models Features of Multistate Processes Marginal Features and Partial Models Some Aspects of Modeling, Analysis and Design Objectives Components of a Model Study Design and Data Software Introduction to Some Studies and Dataframes A Trial of Breast Cancer Patients with Skeletal Metastases An International Breast Cancer Trial Viral Rebounds in HIV-positive Individuals 0 Viral Shedding in HIV Patients with CMV Infection 0 Bibliographic Notes Problems ¿ Event History Processes and Multistate Models Intensity Functions and Counting Processes Likelihood for Multistate Analyses Product Integration and Sample Path Probabilities Time-Dependent Covariates and Random Censoring Some Important Multistate Models Modulated Markov Models Modulated Semi-Markov Models Models with Dual Time Scales Models Accommodating Heterogeneity Linked Models and Local Dependence Process Features of Interest Simulation of Multistate Processes Bibliographic Notes Problems ¿ Multistate Analysis Based on Continuous Observation Maximum Likelihood Methods for Parametric Models Markov Models Semi-Markov Models Multistate Processes with Hybrid Time Scales Comments on Parametric Models Nonparametric Estimation Markov Models An Illness-death Analysis of a Metastatic Breast Cancer Trial 0 Semi-Markov Models Recurrent Outbreaks of Symptoms from Herpes Simplex Virus Semiparametric Regression Models Multiplicative Modulated Markov Models Regression Analysis of a Palliative Breast Cancer Trial Multiplicative Modulated Semi-Markov Models Regression Analysis of Outbreaks from Herpes Simplex Virus Additive Markov and Semi-Markov Models Herpes Data Analyses with Additive Model Nonparametric Estimation of State Occupancy Probabilities Aalen-Johansen Estimates Adjustment for Process-Dependent Censoring Skeletal Complications and Mortality in Cancer Metastatic to Bone Model Assessment 0 Checking Parametric Models 0 Semiparametric Models 0 Predictive Performance of Models 0 Consequences of Model Misspecification and Robustness 0 Design Issues 0 Bibliographic Notes Problems ¿ Some examples of analysis with multistate models Competing Risks Analysis Model Features and Intensity-based Analysis Methods Based on Cumulative Incidence Functions Methods Based on Direct Binomial Regression Models for State Occupancy Based on Pseudo-Values A Competing Risks Analysis of Shunts in Hydrocephalus Alternative Methods for State Occupancy Probabilities 0 Estimation Based on State Entry Time Distributions 0 Estimation Based on Binomial Data A Utility-based Analysis of a Therapeutic Breast Cancer Clinical Trial Analysis of State Sojourn Time Distributions Bibliographic Notes Problems 0 ¿ Studies with Intermittent Observation of Individuals Introduction Estimation and Analysis for Markov Models Model Fitting Parametric Information and Study Design Model Checking 0 Illustration: Progression of Diabetic Retinopathy Nonparametric Estimation of State Occupancy Probabilities 0 Process-Dependent Observation Times Further Remarks on Dependent Visit Processes Marginal Features and Inverse-Intensity of Visit Weighting Estimation of Visit Process Intensities Nonparametric Estimation of Occupancy Probabilities Progression to Mutilans Arthritis Intermittent Observation and Non-Markov Models Mixed Observation Schemes Illness-Death Models General Models Progression and Progression-Free Survival in Cancer Trials Bibliographic Notes Problems ¿ Heterogeneity and Dependence in Multistate Processes 0 Accommodating Heterogeneity in Life History Processes 0 Frailty Models in Survival Analysis 0 A Progressive Multistate Model With Random Effects 0 Random Effect Models with Recurrent States 0 Analysis of Exacerbations in Chronic Bronchitis Modeling Correlated Multistate Processes Dependence Models Based on Random Effects Intensity-based Models for Local Dependence Dependence Models Retaining Simple Marginal Properties The Development of Axial Involvement in Psoriatic Arthritis Finite Mixture Models Notation, Likelihood Contribution and Estimation Modeling Variation in Disease Activity in Lupus 0 Hidden Markov Models General Introduction A Hidden Markov Model for Retinopathy in the DCCT Bibliographic Notes Problems Process-dependent Sampling Schemes History and State-dependent Selection Types of Selection Schemes and Likelihoods Empirical Studies of Design Efficiencies for Markov Processes Prevalent Cohort Sampling and Failure Times Design Based on Probabilistic State-Dependent Sampling Selection and Initial Conditions with Heterogeneous Processes Initial Conditions with a Finite Mixture Model Outcome-Dependent Subsampling and Two-Phase Studies Introduction Multistate Processes Inference for Models with Semiparametric Multiplicative Intensities Design Issues Checks on Ignorable Follow-up Assumptions Bibliographic Notes Problems ¿ Additional Topics Analysis of Process-Related Costs and Benefits Individual-Level Models Quality of Life Analysis and Breast Cancer Treatment Individual-Level Decision Making Population-Level Cost Analysis Prediction Viral Rebounds Among Persons with HIV Joint Modeling of Marker and Event Processes 0 Roles of Markers in Disease Modeling 0 Models for Markers and Life History Processes 0 Intermittent Measurement of Markers and Censoring 0 A Joint Multistate and Discrete Marker Process Model 0 Remarks on Causal Inference with Life History Processes Bibliographic Notes Problems ¿ Appendix A Selected Software Packages A Software for Time to Event Data A Parametric Analyses A Semiparametric Analyses A Selected Software for Multistate Analyses A Multistate Software A Methods based on Marginal Features A Dataframe Construction with the mstate Package A Software for Intermittently Observed Multistate Processes A Miscellaneous Functions Useful for Multistate Analysis A Timeline Plots A Lexis Diagrams A Drawing Multistate Diagrams with the Epi R Package ¿ Appendix B Simulation of Multistate Processes B Generating a Three-State Time-nonhomogeneous Markov Process B Intensities Featuring Smooth Time Trends B Processes with Piecewise-Constant Intensities B Simulating Multistate Processes Under Intermittent Inspection ¿ Appendix C Code and Output for Illustrative Analyses C Illustrative Analysis of Diabetic Retinopathy C Fitting the reversible Markov model MB with msm C Fitting the progressive Markov model MB with msm C Fitting the Hidden Markov Model with msm C Code for the Onset of Arthritis Mutilans in PsA C Dataframe and Fit of Intensity-based Model C Marginal Model for Time to Entry to the Absorbing State C Inverse Intensity Weighted Nonparametric Estimation ¿ Appendix D Datasets D Mechanical Ventilation in an Intensive Care Unit D Outcomes in Blood and Marrow Transplantation (EBMT) D A Trial of Platelet Dose and Bleeding Outcomes D Shedding of Cytomegalovirus in HIV-Infected Individuals 0 D Micronutrient Powder and Infection in Malnurished Children D The Dynamics of Giardia Lamblia Infection in Children D The Development of Arthritis Mutilans in Psoriatic Arthritis D Damage of the Sacroiliac (SI) Joints in Psoriatic Arthritis D The Incidence of PsA in Individuals with Psoriasis Bibliography Index.