A new method for analysing discrete life history data with missing covariate values
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Byron J. T. Morgan | Edward A. Catchpole | Giacomo Tavecchia | E. A. Catchpole | G. Tavecchia | B. Morgan
[1] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[2] D. Russell,et al. Missing data: a review of current methods and applications in epidemiological research , 2004 .
[3] J. Dupuis. Bayesian estimation of movement and survival probabilities from capture-recapture data , 1995 .
[4] Ruth King,et al. Closed‐form likelihoods for Arnason–Schwarz models , 2003 .
[5] Bradley P Carlin,et al. Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages , 2004 .
[6] K. Pollock. The use of auxiliary variables in capture-recapture modelling: An overview , 2002 .
[7] T. Clutton‐Brock,et al. Density-dependent selection in a fluctuating ungulate population , 1996, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[8] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[9] M. Kenward,et al. Informative Drop‐Out in Longitudinal Data Analysis , 1994 .
[10] Joseph W Hogan,et al. Handling drop‐out in longitudinal studies , 2004, Statistics in medicine.
[11] C. Coffey,et al. Modern statistical methods for handling missing repeated measurements in obesity trial data: beyond LOCF , 2003, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[12] John R. Skalski,et al. Inferential properties of an individual-based survival model using release-recapture data: Sample size, validity and power , 1995 .
[13] E. A. Catchpole,et al. Sexual dimorphism, survival and dispersal in red deer , 2004 .
[14] G. Molenberghs,et al. Models for Discrete Longitudinal Data , 2005 .
[15] Bryan F. J. Manly,et al. One. Introduction to the Handbook , 2010 .
[16] Byron J. T. Morgan,et al. Integrated recovery/recapture data analysis , 1998 .
[17] P. Diggle. Analysis of Longitudinal Data , 1995 .
[18] C J Schwarz,et al. An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus , 2006, Biometrics.
[19] R. Prentice. Covariate measurement errors and parameter estimation in a failure time regression model , 1982 .
[20] Chandan Saha,et al. Asymptotic bias in the linear mixed effects model under non‐ignorable missing data mechanisms , 2005 .
[21] R Henderson,et al. Joint modelling of longitudinal measurements and event time data. , 2000, Biostatistics.
[22] Peter J. Diggle,et al. Analysis of longitudinal data with drop‐out: objectives, assumptions and a proposal , 2007 .
[23] M. Conroy,et al. Analysis and Management of Animal Populations , 2002 .
[24] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[25] E. A. Catchpole,et al. Abalone I: Analyzing Mark‐Recapture‐Recovery Data Incorporating Growth and Delayed Recovery , 2001, Biometrics.
[26] K. Burnham,et al. Program MARK: survival estimation from populations of marked animals , 1999 .
[27] Raymond J. Carroll,et al. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process , 1988 .
[28] T. Clutton‐Brock,et al. Selection for foraging efficiency during a population crash in Soay sheep , 1995 .
[29] E. A. Catchpole,et al. Conditional methodology for individual case history data , 2004 .
[30] David A. Elston,et al. Estimating the contributions of population density and climatic fluctuations to interannual variation in survival of Soay sheep , 1999 .
[31] Hulin Wu,et al. Design of viral dynamic studies for efficiently assessing potency of anti-HIV therapies in AIDS Clinical Trials , 2002 .
[32] Roger Pradel,et al. M-SURGE: new software specifically designed for multistate capture-recapture models , 2004 .