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Lifetime Data Analysis
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February 17, 2026
Estimating treatment effects on duration with disease: a principal stratification framework
Erik T Parner
Statistics in Medicine
|
September 3, 2010
Analyzing multivariate survival data using composite likelihood and flexible parametric modeling of the hazard functions
Jan Nielsen, Erik T Parner
Statistics in Medicine
|
October 28, 2023
Win-loss parameters for right-censored event data, with application to recurrent events
Erik T Parner, Morten Overgaard
International Journal of Epidemiology
|
November 2, 2014
Cohort effects explain the increase in autism diagnosis: an identifiability problem of the age-period-cohort model
Stefan N Hansen, Erik T Parner
Family Practice
|
April 6, 2006
Methods for analysing recurrent events in health care data. Examples from admissions in Ebeltoft Health Promotion Project
Janus L Thomsen, Erik T Parner
Biometrics
|
November 18, 2015
Instrumental variable method for time-to-event data using a pseudo-observation approach
Maiken I S Kjaersgaard, Erik T Parner
Lifetime Data Analysis
|
May 8, 2023
Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation
Erik T Parner, Per K Andersen, Morten Overgaard
Lifetime Data Analysis
|
January 15, 2020
Cumulative risk regression in case-cohort studies using pseudo-observations
Erik T Parner, Per K Andersen, Morten Overgaard
Statistics in Medicine
|
April 7, 2017
Causal inference in survival analysis using pseudo-observations
Per K Andersen, Elisavet Syriopoulou, Erik T Parner
Archives of Pediatrics & Adolescent Medicine
|
December 3, 2008
Autism prevalence trends over time in Denmark: changes in prevalence and age at diagnosis
Erik T Parner, Diana E Schendel, Poul Thorsen
Page
of 7
Search research articles
Search
Showing results (1-10 of 66) with videos related to
Sort By:
Page
of 7
Lifetime Data Analysis
|
February 17, 2026
Estimating treatment effects on duration with disease: a principal stratification framework
Erik T Parner
Statistics in Medicine
|
September 3, 2010
Analyzing multivariate survival data using composite likelihood and flexible parametric modeling of the hazard functions
Jan Nielsen, Erik T Parner
Statistics in Medicine
|
October 28, 2023
Win-loss parameters for right-censored event data, with application to recurrent events
Erik T Parner, Morten Overgaard
International Journal of Epidemiology
|
November 2, 2014
Cohort effects explain the increase in autism diagnosis: an identifiability problem of the age-period-cohort model
Stefan N Hansen, Erik T Parner
Family Practice
|
April 6, 2006
Methods for analysing recurrent events in health care data. Examples from admissions in Ebeltoft Health Promotion Project
Janus L Thomsen, Erik T Parner
Biometrics
|
November 18, 2015
Instrumental variable method for time-to-event data using a pseudo-observation approach
Maiken I S Kjaersgaard, Erik T Parner
Lifetime Data Analysis
|
May 8, 2023
Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation
Erik T Parner, Per K Andersen, Morten Overgaard
Lifetime Data Analysis
|
January 15, 2020
Cumulative risk regression in case-cohort studies using pseudo-observations
Erik T Parner, Per K Andersen, Morten Overgaard
Statistics in Medicine
|
April 7, 2017
Causal inference in survival analysis using pseudo-observations
Per K Andersen, Elisavet Syriopoulou, Erik T Parner
Archives of Pediatrics & Adolescent Medicine
|
December 3, 2008
Autism prevalence trends over time in Denmark: changes in prevalence and age at diagnosis
Erik T Parner, Diana E Schendel, Poul Thorsen
Page
of 7