Pages that link to "Item:Q3711554"

The following pages link to The Analysis of Panel Data Under a Markov Assumption (Q3711554):

Displaying 50 items.

• A transition model for fuzzy correlated longitudinal responses (Q2988526) (← links)
• Non-homogeneous Markov process models with informative observations with an application to Alzheimer's disease (Q3003008) (← links)
• Cox regression for current status data with mismeasured covariates (Q3019144) (← links)
• Semi-Markov Models with Phase-Type Sojourn Distributions (Q3064261) (← links)
• Variable Selection for Panel Count Data via Non-Concave Penalized Estimating Function (Q3077761) (← links)
• Nonparametric Comparison for Panel Count Data with Unequal Observation Processes (Q3100778) (← links)
• Semi-Markov Models for Multistate Data Analysis with Periodic Observations (Q3155273) (← links)
• Parametric inference for time-to-failure in multi-state semi-Markov models: A comparison of marginal and process approaches (Q3174231) (← links)
• Algorithmical and Computational Procedures for a Markov Model in Survival Analysis (Q3298665) (← links)
• Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progression (Q3304945) (← links)
• Estimating disease progression using panel data (Q3305023) (← links)
• Nonparametric Estimation of Stage Occupation Probabilities in a Multistage Model with Current Status Data (Q3436531) (← links)
• A Conditional Markov Model for Clustered Progressive Multistate Processes under Incomplete Observation (Q3442974) (← links)
• Analysis of interval‐censored recurrent event processes subject to resolution (Q3465331) (← links)
• Monotone spline‐based least squares estimation for panel count data with informative observation times (Q3465332) (← links)
• A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data (Q3465728) (← links)
• Modeling Nonhomogeneous Markov Processes via Time Transformation (Q3530104) (← links)
• A Multistate Model for Bivariate Interval‐Censored Failure Time Data (Q3549398) (← links)
• A Finite‐State Continuous‐Time Approach for Inferring Regional Migration and Mortality Rates from Archival Tagging and Conventional Tag‐Recovery Experiments (Q3549414) (← links)
• An Appraisal of Methods for the Analysis of Longitudinal Ordinal Response Data with Random Dropout Using a Nonhomogeneous Markov Model (Q3578981) (← links)
• Statistical methods for panel data from a semi-Markov process, with application to HPV (Q3592102) (← links)
• Mixture Multi-state Markov Regression Model (Q3592656) (← links)
• A Class of Two-Sample Nonparametric Tests for Panel Count Data (Q3593580) (← links)
• Robust Estimation of State Occupancy Probabilities for Interval-Censored Multistate Data: An Application Involving Spondylitis in Psoriatic Arthritis (Q3652658) (← links)
• Pragmatic Analysis of Longitudinal Data on Disease Activity in Systemic Lupus Erythematosus (Q3652670) (← links)
• Problems with the estimation of stochastic differential equations using structural equations models (Q3988271) (← links)
• (Q4011966) (← links)
• Continuous panel models with time dependent parameters (Q4229254) (← links)
• Transition (markov) models for the analysis of survival times in clinical research (Q4240803) (← links)
• Analysis of Chronic Disease Processes Based on Cohort and Registry Data (Q4555220) (← links)
• Assessing Type I error and power of multistate Markov models for panel data—A simulation study (Q4607361) (← links)
• Fitting Semi‐Markov Models to Interval‐Censored Data with Unknown Initiation Times (Q4666597) (← links)
• Discrete‐Time Nonparametric Estimation for Semi‐Markov Models of Chain‐of‐Events Data Subject to Interval Censoring and Truncation (Q4666598) (← links)
• A Mixed Model for Two‐State Markov Processes Under Panel Observation (Q4666671) (← links)
• Tests for underlying Markovian structure from panel data with partially aggregated states (Q4720627) (← links)
• A Markov chain model used in analyzing disease history applied to a stroke study (Q4935489) (← links)
• (Q4999019) (← links)
• A three-state continuous time Markov chain model for HIV disease burden (Q5036657) (← links)
• Composite likelihood for aggregate data from clustered multistate processes under intermittent observation (Q5077232) (← links)
• Estimation of multi-state models with missing covariate values based on observed data likelihood (Q5077932) (← links)
• A continuous-time Markov chain approach with the analytic likelihood in studies of behavioral changes (Q5077939) (← links)
• Technical Note—On Matrix Exponential Differentiation with Application to Weighted Sum Distributions (Q5106348) (← links)
• Bivariate transition model for analysing ordinal and nominal categorical responses: an application to the Labour Force Survey data (Q5124804) (← links)
• A comparison of non-homogeneous Markov regression models with application to Alzheimer's disease progression (Q5124920) (← links)
• A Bayesian approach for analysing longitudinal nominal outcomes using random coefficients transitional generalized logit model: an application to the labour force survey data (Q5129035) (← links)
• Capturing model risk and rating momentum in the estimation of probabilities of default and credit rating migrations (Q5139214) (← links)
• Flexible parametric multistate modelling of employment history (Q5142245) (← links)
• Likelihood analysis of joint marginal and conditional models for longitudinal categorical data (Q5192946) (← links)
• Mixture Markov regression model with application to mosquito surveillance data analysis (Q5348685) (← links)
• A nonparametric time-varying coefficient model for panel count data (Q5375950) (← links)