Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

274
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
274
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

554
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
554
Marcia's Theory of Identity Status01:26

Marcia's Theory of Identity Status

1.6K
James Marcia's identity status model provides a framework for understanding how adolescents navigate identity formation through varying degrees of exploration and commitment. Marcia's model builds on Erik Erikson's theories of psychosocial development, focusing specifically on how adolescents reconcile individual aspirations with societal expectations. His model describes identity formation as a dynamic process where adolescents move between different states depending on their level...
1.6K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

248
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
248
Electrical Current01:10

Electrical Current

7.1K
Electrical current is defined as the rate at which charge flows. When there is a large current present, such as that used to run a refrigerator, a large amount of charge moves through the wire in a small amount of time. If the current is small, such as that used to operate a handheld calculator, a small amount of charge moves through the circuit over a long period of time. The SI unit for current is the ampere (A), named for the French physicist André-Marie Ampère (1775–1836).
7.1K
One-Compartment Open Model: Urinary Excretion Data and Determination of k01:11

One-Compartment Open Model: Urinary Excretion Data and Determination of k

621
The one-compartment open model leverages urinary excretion data to estimate renal clearance, which gauges the kidney's capacity to expel a drug. This method offers several benefits, including directly measuring drug elimination and assessing the kidney's contribution to overall drug clearance. However, this approach has limitations. It assumes sole renal excretion of the drug, which is not true for all drugs. Accurate urinary excretion and plasma drug concentration measurement can also...
621

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Subgroup Analysis of Interval-censored Failure Time Data With Application to Alzheimer's Disease.

Statistics in medicine·2026
Same author

Transfer learning estimation of the accelerated failure time model based on high-dimensional data.

Biometrics·2026
Same author

Variable selection in causal semiparametric transformation models with all-or-nothing treatment compliance.

Lifetime data analysis·2026
Same author

Heterogeneity learning in distributed networks with large-scale survival data.

Biometrics·2026
Same author

Migration of a Hem-O-Lok clip into the cecal lumen following laparoscopic appendectomy: a case report.

BMC gastroenterology·2026
Same author

Laparoscopic endostapler partial cecal resection in complicated appendicitis with appendiceal base involvement: a single-center retrospective study.

BMC surgery·2026
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status
13:18

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status

Published on: May 18, 2019

12.6K

Semiparametric probit model for informative current status data.

Mingyue Du1, Tao Hu2, Jianguo Sun3

  • 1Center for Applied Statistical Research, School of Mathematics, Jilin University, Changchun, China.

Statistics in Medicine
|February 1, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for analyzing failure time data using semiparametric probit models, particularly for informative current status data common in medical research. The sieve maximum likelihood approach demonstrates good performance in simulations and practical applications.

Keywords:
Weibull modelcopula modelinformative censoringprobit model

More Related Videos

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.3K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Related Experiment Videos

Last Updated: Jan 30, 2026

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status
13:18

Data Collection on Marine Litter Ingestion in Sea Turtles and Thresholds for Good Environmental Status

Published on: May 18, 2019

12.6K
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.3K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Area of Science:

  • Biostatistics
  • Survival Analysis
  • Statistical Modeling

Background:

  • Semiparametric probit models are gaining traction for analyzing failure time data.
  • Informative current status data, prevalent in medical studies, presents unique analytical challenges.
  • Existing methods may not fully address the complexities of such data.

Purpose of the Study:

  • To develop and assess a method for fitting semiparametric probit models to informative current status data.
  • To extend the methodology to generalized semiparametric probit models.
  • To provide a robust inferential approach for this data type.

Main Methods:

  • Development of a sieve maximum likelihood estimation approach.
  • Generalization of the method to a broader class of generalized semiparametric probit models.
  • Conducting a simulation study to evaluate finite sample properties.

Main Results:

  • The proposed sieve maximum likelihood approach is effective for fitting semiparametric probit models.
  • The methodology performs well in practical scenarios, as indicated by simulation results.
  • The approach is applicable to generalized semiparametric probit models.

Conclusions:

  • The developed sieve maximum likelihood method provides a reliable tool for analyzing informative current status data.
  • The approach offers a valuable extension for generalized semiparametric probit models.
  • The findings support the utility of this method in biostatistical and medical research.