# Doubly robust capture-recapture methods for estimating population size

@inproceedings{Das2021DoublyRC, title={Doubly robust capture-recapture methods for estimating population size}, author={Manjari Das and Edward H. Kennedy}, year={2021} }

Estimation of population size using incomplete lists (also called the capture-recapture problem) has a long history across many biological and social sciences. For example, human rights groups often construct partial and overlapping lists of victims of armed conflicts, with the hope of using this information to estimate the total number of victims. Earlier statistical methods for this setup either use potentially restrictive parametric assumptions, or else rely on typically suboptimal plug-in…

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## 2 Citations

drpop: Efficient and Doubly Robust Population Size Estimation in R

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This paper introduces the R package drpop to flexibly estimate total population size from incomplete lists. Total population estimation, also called capture-recapture, is an important problem in many…

Estimation of population size based on capture recapture designs and evaluation of the estimation reliability

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The proposed method, alongside existing estimators, is applied to estimate prevalence of a parasitic infection using multi-source surveillance data from a region in southwestern China, under the four identification assumptions.

## References

SHOWING 1-10 OF 71 REFERENCES

Estimation of population size based on capture recapture designs and evaluation of the estimation reliability

- Mathematics, Computer Science
- 2021

The proposed method, alongside existing estimators, is applied to estimate prevalence of a parasitic infection using multi-source surveillance data from a region in southwestern China, under the four identification assumptions.

Non‐parametric estimation of population size from capture–recapture data when the capture probability depends on a covariate

- Mathematics
- 2007

Summary. In capture–recapture experiments the capture probabilities may depend on individual covariates such as an individual's weight or age. Typically this dependence is modelled through simple…

A nonparametric approach to the analysis of two-stage mark-recapture experiments

- Mathematics
- 2000

We present a new approach to the analysis of two-stage mark recapture experiments where individual covariates are available which describe the detectability of individuals in the population. Central…

The use of auxiliary variables in capture-recapture modelling: An overview

- Environmental Science
- 2002

I review the use of auxiliary variables in capture-recapture models for estimation of demographic parameters (e.g. capture probability, population size, survival probability, and recruitment,…

Local log-linear models for capture-recapture

- Mathematics
- 2014

This work extends post-stratification to its logical extreme by selecting a local log-linear model for each observed unit, while smoothing to achieve stability, and estimates the rate of missingness as a function of covariates.

The VGAM Package for Capture-Recapture Data Using the Conditional Likelihood

- Computer Science
- 2015

This work presents several new R functions specifically developed to allow the incorporation of individual covariates in the analysis of closed population CR data using a GLM/GAM-like approach and the conditional likelihood.

Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures

- Mathematics, Environmental ScienceBiometrics
- 2000

Finite mixture partitions of animals and/or samples are used to give a unified linear-logistic framework for fitting all eight models of Otis et al. by maximum likelihood.

Estimating the population size for capture-recapture data with unequal catchability.

- MathematicsBiometrics
- 1987

A point estimator and its associated confidence interval for the size of a closed population are proposed under models that incorporate heterogeneity of capture probability andumerical results show that the proposed confidence interval performs satisfactorily in maintaining the nominal levels.

A unified approach for estimating population size in capture-recapture studies with arbitrary removals

- Mathematics
- 2001

A unified approach is suggested to estimate the population size for a closed population in discrete time. Individuals can be removed after capture at any time during the experiment. The usual…

Robust Estimation of Population Size When Capture Probabilities Vary Among Animals

- Mathematics
- 1979

A model is given for multiple recapture studies on closed populations which allows capture probabilities to vary among individuals and a nonparametric estimation procedure for population size is given that is robust to moderate variations in individual capture probabilities which may occur in commonly used short—term livetrapping studies.