Modeling Longitudinal Daily Seizure Frequency Data from Pregaba- Lin Add-on Treatment. Equal Contribution). Transient Lower Esophageal Sphincter Relaxations Pkpd Modeling: Count Model and Repeated Time-to- Event Model. Pharmacometric Methods and Novel Models for Discrete Data

List of papers This thesis is based on the following nine papers. They are referred to in the text by their Roman numerals. Count Model and Autoregressive Continuous Model. In manuscript. Abbreviations AGQ Adaptive Gaussian quadrature AR(1) Autoregressive time series BAS Baseline BIC Bayesian information criterion CI Confidence interval CPU Central unit processing d Dose EBE Empirical Bayes estimates ED 50 Dose to reach half of the effect E max Maximal effect FOCE First-order conditional estimation GP Generalized Poisson h Hour i Indices for individuals IIV Interindividual variability IMP Importance sampling IPRED Individual prediction j Indices for observations kg Kilogram m Severity score min Minute n Count NB Negative binomial OC Ordered categorical OFV Objective function value Ovdp Overdispersion PD Pharmacodynamics PI Prediction interval PK Pharmacokinetics PS Poisson RCEpT Repeated categorical events per time-intervals RER Relative estimation error RMSE Root mean squared error RSE Relative standard error RTTCE Repeated time-to-categorical event RTTE Repeated time-to-event SAEM Stochastic approximation expectation maximization t Time t 1/2 Half-life TLESR Transient lower esophageal sphincter relaxation VPC Visual predictive check ZINB Zero-inflated negative binomial ZIP Zero-inflated Poisson Sigmoidicity factor Dispersion factor Residual variability Interindividual variability Typical value of the parameter Mean count Probability of transition Standard deviation of the residual variability Standard deviation of the interindividual variability