Sensitivity and Uncertainty Analysis for Two-Stream Capture-Recapture in Epidemiological Surveillance Öffentlichkeit

Abstract

The capture-recapture approach is a well-studied paradigm for estimating wildlife population sizes, based on tag and release strategies. Statistical methods associated with this approach are also used in epidemiological studies to estimate total numbers (N) of cases or deaths from multiple registries. Using simulated data and DRS data on death obtained from a Population Change Survey conducted by the National Statistical Office in Malawi between 1970 to 1972 as examples, sensitivity and uncertainty analyses are proposed and incorporated to provide a more defensible picture of variability in estimates of homogeneous population size when the assumption of list independence fails in the two-capture scenario. In this report, maximum likelihood estimators (MLEs) for population size (N) and the variance of these MLEs are formulated upon fixing the values of key non-identifiable parameters. A discussion is made of the placement of the Lincoln-Petersen (LP) estimate and the estimator of Chao (1987) on the proposed sensitivity analysis plots, and the proposed uncertainty analyses are demonstrated and evaluated through simulations based on two prior assumptions for a key parameter upon which estimation hinges. Some features of the proposed MLEs are also highlighted in this report.

Table of Contents

Table of Contents

1. Introduction

2. Methods

2.1 Preliminaries

2.2 Maximum likelihood estimators (MLEs) and variance based on known ψ=p2|1

2.3 Maximum likelihood estimators (MLEs) and variance based on known ϕ=p2|1p2|1

2.4 Clarification for the formulas of MLEs based on ψ and ϕ

2.5 Sensitivity Analysis

2.6 Uncertainty Analysis

3. Results

4. Discussion

5. Tables and Figures

About this Master's Thesis

Rights statement

• Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Rollins School of Public Health
Department	Biostatistics
Subfield / Discipline	Biostatistics - MPH & MSPH
Degree	M.S.
Submission	Master's Thesis
Language	English
Research Field	Biology, Biostatistics Health Sciences, Epidemiology
Stichwort	capture recapture
Committee Chair / Thesis Advisor	Robert H. Lyles, Emory University
Committee Members	Lance A. Waller, Emory University

Zuletzt geändert

Primary PDF

Thumbnail	Title	Date Uploaded	Actions
	Sensitivity and Uncertainty Analysis for Two-Stream Capture-Recapture in Epidemiological Surveillance ()	2020-04-21 04:35:52 -0400	Press to Select an action Download

Supplemental Files

Thumbnail	Title	Date Uploaded	Actions