Dissertations / Theses on the topic 'Incomplete Survey'
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Chui, On Kei. "A survey on franchising and an application of incomplete contract /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ECON%202004%20CHUI.
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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.Includes bibliographical references (leaves 34-36). Also available in electronic version. Access restricted to campus users.
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Hunter, Guillermo Arturo Ramirez. "Corporate finance in general equilibrium models with incomplete markets: a survey." Master's thesis, NSBE - UNL, 2010. http://hdl.handle.net/10362/11848.
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A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and EconomicsThis is a survey of models of general equilibrium with incomplete markets and corporations. The intuition behind several of the difficulties that arise in these models is discussed. Interesting issues are pointed out also.
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Mohammed, Raji Tajudeen. "Assessment of factors associated with incomplete immunization among children aged 12-23 months in Ethiopia." University of the Western Cape, 2016. http://hdl.handle.net/11394/4989.
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Magister Public Health - MPHEthiopia has achieved its target for Millennium Development Goal 4 by recording 69 %reduction in its under-five mortality. The proportion of fully immunized children in Ethiopia has increased from 14 % in 2000 to 24 % in 2011. Though progress has been made, about 3 out of 4 children still remain incompletely immunized. The purpose of this study is to determine the socio-demographic and socioeconomic factors associated with incomplete immunization among children aged 12-23 months in Ethiopia. This study is based on secondary analysis of the 2011 Ethiopia Demographic and Health Survey. Information on 1,889 mothers of children aged 12–23 months were extracted from the children dataset. Records from vaccination cards and mothers’ self-reported data were used to determine vaccine coverage. The association between child immunization status and determinants of non-utilization of immunization services was assessed using bivariate and multivariate analyses. The findings of this study showed that the prevalence of incompletely immunized children is 70.9%. Children of mothers from the poor (AOR = 2.27; 95 % CI: 1.34 – 3.82) wealth quintile were more likely to be incompletely immunized. Children of mothers from Affar (AOR = 15.80; 95 % CI: 7.12 – 35.03), Amhara (AOR = 4.27; 95 %CI: 2.31 – 7.88), Oromiya (AOR = 8.10; 95 % CI: 4.60 – 14.25), Somali (AOR = 4.91;95 % CI: 2.65 – 9.10), Benishangul-Gumuz (AOR = 4.20; 95% CI: 2.34 – 7.57),Southern Nations Nationalities and Peoples’ (AOR = 4.76; 95 % CI: 2.53 – 8.94), Gambela (AOR = 7.75; 95 % CI: 3.68 – 16.30) and Harari (AOR = 3.22; 95 % CI: 1.77 –5.89) regions were more likely to be incompletely immunized. Mothers with inadequate exposure to media (AOR = 1.60; 95% CI: 1.21 – 2.14), who are not aware of community conversation programme (AOR = 1.80; 95% CI: 1.40 – 2.32) and who attended no antenatal care (AOR = 2.21; 95% CI: 1.72 – 2.83) were more likely to have incompletely immunized children. Despite efforts to increase rates of childhood immunization, the proportion of children with incomplete immunization in Ethiopia is considerably high. Therefore, targeted interventions at the identified socio-demographic factors are needed to increase immunization rates.
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Lai, Yuk-lin, and 賴玉蓮. "Analysis of incomplete survey data with application to the construction of social indicators of Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31215440.
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Lai, Yuk-lin. "Analysis of incomplete survey data with application to the construction of social indicators of Hong Kong /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19929523.
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Piiroja, Devrout Ricardo Adrien. "Coverage and factors associated with incomplete vaccination against diphtheria, tetanus and pertussis in infants aged 12 to 23 months: secondary analysis of the Demographic and Family Health Survey." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/656151.
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A cross-sectional study was conducted based on the secondary analysis of the Demographic and Family Health Survey (ENDES) 2019, with the objective of estimating the incomplete coverage of PTD and determining the factors associated with it in infants aged 12 to 23 months in Peru. Pearson's chi-square test was used for the bivariate analysis and the magnitude of the association was estimated using the crude (PRc) and adjusted (RPa) prevalence ratios.
Incomplete DPT coverage was 12.4% (CI 11.88-14.79) for the entire population studied. Infants in the third order of birth or more (PRa: 1.37; CI 1.01-1.84) and infants born by non-institutionalized delivery were more likely than children whose delivery was institutionalized (PRa; 1.70; CI 1.15-2.54). The probability of having incomplete coverage decreased by having 6 or more prenatal check-ups (PRa; 0.58; CI 0.46-0.73), as well as living in rural areas compared to living in urban areas (PRa; 0.64; CI 0.48-0.85).
Incomplete DPT vaccination in infants aged 12 to 23 months in Peru has a high level (> 10%), placing this population group at risk of suffering from these immunopreventable diseases and triggering outbreaks and epidemics in the community. The factors associated with incomplete vaccination are related to lower socioeconomic conditions and limited access to health services, which is why it is necessary to focus the interventions of the National Immunization Health Strategy to reverse this situation.Se realizó un estudio transversal basado en el análisis secundario de la Encuesta Demográfica y de Salud Familiar (ENDES) 2019, con el objetivo de estimar la cobertura incompleta de DPT y determinar los factores asociados a la misma en infantes de 12 a 23 meses en el Perú. Se utilizó la prueba chi cuadrado de Pearson para el análisis bivariado y la magnitud de la asociación se estimó mediante las razones de prevalencia crudas (RPc) y ajustadas (RPa). La cobertura incompleta de DPT fue de 12.4% (IC 11.88-14.79) para toda la población estudiada. Mayores probabilidades de cobertura incompleta tuvieron los infantes en tercer orden de nacimiento o más (PRa: 1.37; IC 1.01-1.84) y los infantes nacidos por parto no institucionalizado con respecto a los infantes cuyo parto fue institucionalizado (PRa; 1,70; IC 1.15-2.54). Disminuyó la probabilidad de tener cobertura incompleta el contar con 6 o más controles prenatales (PRa; 0.58; IC 0.46-0.73), así como vivir en el área rural con respecto a vivir en el área urbana (PRa; 0.64; IC 0.48-0.85). La vacunación incompleta de DPT en infantes de 12 a 23 meses en el Perú tuvo un nivel alto (>10%), colocando a este grupo poblacional en riesgo de padecer estas enfermedades inmunoprevenibles y desencadenar brotes y epidemias en la comunidad. Los factores asociados a la vacunación incompleta estuvieron relacionados a menores condiciones socioeconómicas y al acceso limitado a servicios de salud por lo que es necesario focalizar las intervenciones de la Estrategia Sanitaria Nacional de Inmunizaciones para revertir esta situación.
Tesis
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MaseTshaba, Musa. "Incomplete sex re-assignment surgery and psychosocial functioning : a preliminary study." Thesis, University of Limpopo (Medunsa Campus), 2010. http://hdl.handle.net/10386/873.
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Minini, Pascal. "Modélisation des observations longitudinales incomplètes." Paris 11, 2004. http://www.theses.fr/2004PA11T060.
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Au cours des études longitudinales, des sujets sont observés afin de mesurer l'évolution une réponse d'intérêt. Le protocole de ces études prévoit de recueillir un certain nombre de réponses pour chaque sujet. Cependant, il est extrêmement rare que toutes les mesures prévues soient effectivement réalisées. L'analyse des données incomplètes est devenu un thème majeur de la statistique au cours des dernières années. De nombreuses méthodes ont été proposées, mais il est généralement impossible de s'assurer de leur validité. Il est désormais recommandé de réaliser une analyse de sensibilité, afin d'évaluer dans quelle mesure les résultats d'une étude peuvent être affectés par différentes hypothèses concernant le processus de données manquantes. Ce rapport souligne la nécessité de l'analyse de sensibilité, et montre comment cet objectif peut être atteint dans trois situations différentes, les données normales, les données binaires et les données de survieIn longitudinal studies, subjects are repeatedly observed to obtain measurements of some response. The protocol of such studies plans to collect a fixed number of responses for each subject, during a predefined follow-up period. However, it is extremely rare that all the planned measurements are actually performed. The analysis of incomplete data has become a major topic in statistics during the last years. Many methods have been proposed, but it is generally impossible to check their validity. It is now recommended to perform a sensitivity analysis, to evaluate the extent to which the results from a study can be affected by different assumptions regarding the missing data process. This report highlights the need for a sensitivity analysis, and shows how this aim can be achieved in three different situations, normal data, binary data and survival data
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Norman, Kathleen Elisabeth. "The effects of clonidine, cyproheptadine and baclofen on locomotor pattern in subjects with incomplete spinal cord injury /." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=42110.
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Most new cases of spinal-cord-injured (SCI) persons in Canada have incomplete loss of sensory and/or motor function, but only a minority are able to walk. The study of animal models of spinal cord injury, especially the chronic spinal cat, has shown that monoaminergic drugs can modulate locomotion and spinal reflexes. Clonidine, a noradrenergic agonist, and cyproheptadine, a serotonergic antagonist, have each been associated with improved walking in SCI subjects. Baclofen, a GABA agonist, is frequently prescribed for spasticity in SCI patients, but its effects on walking have not been quantified. The objective of this doctoral project was to compare the effects of clonidine, cyproheptadine and baclofen on walking in incomplete SCI subjects. Subjects were evaluated on a motorized treadmill. Severely disabled subjects required harness support for their evaluations. The treadmill and harness system are described in detail, and their potential uses in the evaluation and rehabilitation of gait are discussed. A repeated single-subject design was employed for the twelve subjects. The greatest effects were found in the the subjects with greater severity of disability. Cyproheptadine was associated with greatly reduced need for assistance, increases in maximum treadmill speed (MTS) and reduced clonus, among other improvements in walking patterns. Clonidine was associated with increases in MTS, and a generally more upright posture, among other improvements in walking patterns. Baclofen was not associated with changes in walking, although two subjects showed small improvements following washout of baclofen. Among subjects with less severe motor disability, drug effects were less marked. Following washout of cyproheptadine or clonidine, subjects frequently retained walking improvements such as increases in MTS and reduced need for assistance that had first been evident in the drug periods. The significance and implications of the drug effects and the retention of effects dur
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Chagny, Gaëlle. "Estimation adaptative avec des données transformées ou incomplètes. Application à des modèles de survie." Phd thesis, Université René Descartes - Paris V, 2013. http://tel.archives-ouvertes.fr/tel-00863141.
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Cette thèse présente divers problèmes d'estimation fonctionnelle adaptative par sélection d'estimateurs en projection ou à noyaux, utilisant des critères inspirés à la fois de la sélection de modèles et des méthodes de Lepski. Le point commun de nos travaux est l'utilisation de données transformées et/ou incomplètes. La première partie est consacrée à une procédure d'estimation par "déformation'', dont la pertinence est illustrée pour l'estimation des fonctions suivantes : régression additive et multiplicative, densité conditionnelle, fonction de répartition dans un modèle de censure par intervalle, risque instantané pour des données censurées à droite. Le but est de reconstruire une fonction à partir d'un échantillon de couples aléatoires (X,Y). Nous utilisons les données déformées (ф(X),Y) pour proposer des estimateurs adaptatifs, où ф est une fonction bijective que nous estimons également (par exemple la fonction de répartition de X). L'intérêt est double : d'un point de vue théorique, les estimateurs ont des propriétés d'optimalité au sens de l'oracle ; d'un point de vue pratique, ils sont explicites et numériquement stables. La seconde partie s'intéresse à un problème à deux échantillons : nous comparons les distributions de deux variables X et Xₒ au travers de la densité relative, définie comme la densité de la variable Fₒ(X) (Fₒ étant la répartition de Xₒ). Nous construisons des estimateurs adaptatifs, à partir d'un double échantillon de données, possiblement censurées. Des bornes de risque non-asymptotiques sont démontrées, et des vitesses de convergences déduites.
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Dantan, Etienne. "Modèles conjoints pour données longitudinales et données de survie incomplètes appliqués à l'étude du vieillissement cognitif." Thesis, Bordeaux 2, 2009. http://www.theses.fr/2009BOR21658/document.
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Dans l'étude du vieillissement cérébral, le suivi des personnes âgées est soumis à une forte sélection avec un risque de décès associé à de faibles performances cognitives. La modélisation de l'histoire naturelle du vieillissement cognitif est complexe du fait de données longitudinales et données de survie incomplètes. Par ailleurs, un déclin accru des performances cognitives est souvent observé avant le diagnostic de démence sénile, mais le début de cette accélération n'est pas facile à identifier. Les profils d'évolution peuvent être variés et associés à des risques différents de survenue d'un événement; cette hétérogénéité des déclins cognitifs de la population des personnes âgées doit être prise en compte. Ce travail a pour objectif d'étudier des modèles conjoints pour données longitudinales et données de survie incomplètes afin de décrire l'évolution cognitive chez les personnes âgées. L'utilisation d'approches à variables latentes a permis de tenir compte de ces phénomènes sous-jacents au vieillissement cognitif que sont l'hétérogénéité et l'accélération du déclin. Au cours d'un premier travail, nous comparons deux approches pour tenir compte des données manquantes dans l'étude d'un processus longitudinal. Dans un second travail, nous proposons un modèle conjoint à état latent pour modéliser simultanément l'évolution cognitive et son accélération pré-démentielle, le risque de démence et le risque de décèsIn cognitive ageing study, older people are highly selected by a risk of death associated with poor cognitive performances. Modeling the natural history of cognitive decline is difficult in presence of incomplete longitudinal and survival data. Moreover, the non observed cognitive decline acceleration beginning before the dementia diagnosis is difficult to evaluate. Cognitive decline is highly heterogeneous, e.g. there are various patterns associated with different risks of survival event. The objective is to study joint models for incomplete longitudinal and survival data to describe the cognitive evolution in older people. Latent variable approaches were used to take into account the non-observed mechanisms, e.g. heterogeneity and decline acceleration. First, we compared two approaches to consider missing data in longitudinal data analysis. Second, we propose a joint model with a latent state to model cognitive evolution and its pre-dementia acceleration, dementia risk and death risk
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Bouhadjera, Feriel. "Estimation non paramétrique de la fonction de régression pour des données censurées : méthodes locale linéaire et erreur relative." Thesis, Littoral, 2020. http://www.theses.fr/2020DUNK0561.
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Dans cette thèse, nous nous intéressons à développer des méthodes robustes et efficaces dans l’estimation non paramétrique de la fonction de régression. Le modèle considéré ici est le modèle censuré aléatoirement à droite qui est le plus utilisé dans différents domaines pratiques. Dans un premier temps, nous proposons un nouvel estimateur de la fonction de régression en utilisant la méthode linéaire locale. Nous étudions sa convergence uniforme presque sûre avec vitesse. Enfin, nous comparons ses performances avec celles de l’estimateur de la régression à noyau classique à l’aide de simulations. Dans un second temps, nous considérons l’estimateur de la fonction de régression par erreur relative (RER en anglais), basé sur la minimisation de l’erreur quadratique relative moyenne. Ainsi, nous établissons la convergence uniforme presque sûre (sur un compact) avec vitesse de l’estimateur défini pour des observations indépendantes et identiquement distribuées. En outre, nous prouvons sa normalité asymptotique en explicitant le terme de variance. Enfin, nous conduisons une étude de simulations pour confirmer nos résultats théoriques et nous appliquons notre estimateur sur des données réelles. Par la suite, nous étudions la convergence uniforme presque sûre (sur un compact) avec vitesse de l’estimateur RER pour des observations soumises à une structure de dépendance du type α-mélange. Une étude de simulation montre le bon comportement de l’estimateur étudié. Des prévisions sur données générées sont réalisées pour illustrer la robustesse de notre estimateur. Enfin, nous établissons la normalité asymptotique de l’estimateur RER pour des observations α-mélangeantes où nous construisons des intervalles de confiance afin de réaliser une étude de simulations qui valide nos résultats. Pour conclure, le fil conducteur de cette modeste contribution, hormis l’analyse des données censurées est la proposition de deux méthodes de prévision alternative à la régression classique. La première approche corrige les effets de bord crée par les estimateurs à noyaux classiques et réduit le biais. Tandis que la seconde est plus robuste et moins affectée par la présence de valeurs aberrantes dans l’échantillonIn this thesis, we are interested in developing robust and efficient methods in the nonparametric estimation of the regression function. The model considered here is the right-hand randomly censored model which is the most used in different practical fields. First, we propose a new estimator of the regression function by the local linear method. We study its almost uniform convergence with rate. We improve the order of the bias term. Finally, we compare its performance with that of the classical kernel regression estimator using simulations. In the second step, we consider the regression function estimator, based on theminimization of the mean relative square error (called : relative regression estimator). We establish the uniform almost sure consistency with rate of the estimator defined for independent and identically distributed observations. We prove its asymptotic normality and give the explicit expression of the variance term. We conduct a simulation study to confirm our theoretical results. Finally, we have applied our estimator on real data. Then, we study the almost sure uniform convergence (on a compact set) with rate of the relative regression estimator for observations that are subject to a dependency structure of α-mixing type. A simulation study shows the good behaviour of the studied estimator. Predictions on generated data are carried out to illustrate the robustness of our estimator. Finally, we establish the asymptotic normality of the relative regression function estimator for α-mixing data. We construct the confidence intervals and perform a simulation study to validate our theoretical results. In addition to the analysis of the censored data, the common thread of this modest contribution is the proposal of two alternative prediction methods to classical regression. The first approach corrects the border effects created by classical kernel estimators and reduces the bias term. While the second is more robust and less affected by the presence of outliers in the sample
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Mounier, Nicolas. "Analyse de survie ajustée par la qualité de vie : adaptation de la méthode Q-TWiST par l'incorporation de modèles permettant la prise en compte des données incomplètes." Paris 7, 2002. http://www.theses.fr/2002PA077128.
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Lai, Cheng-Lung, and 賴正隆. "A Study of Incomplete Response Problem In Sampling Survey." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/64442935105453336044.
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碩士淡江大學
管理科學研究所碩士班
93
Survey is one of the ways to collect statistical data which include census and sampling approaches. To consider the factors of manpower、financial and time, sampling survey is more effective than census. Besides, it could gain important information somehow. However, non-response always got the serious mistakes to influence result. So we need to discuss the response rate to check if it has big biased problem. In practical, people often use the response date to substitute to the whole date of the number of surveys. People will doubt if it is accurate enough to only use the response data. The method of my paper is from the paper of “ The Problem of Non-response in Sampling Survey “ of Hansen and Hurwitz which thought of the approach to deal with non-response problems. Not only I try to discuss the mistakes which we just use response sample to estimate population, but also consider non-response sample to correct the former biased problem. I make the constant number from non-response sample to be the new non-response sample instead of the original non-response sample to find a new sample by using the simple random sampling method. I provide the new approach to provide the decision persons to make the sample what they want when they do the sampling survey.
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Lee, Hsia, and 李霞. "The Study of Origin-Destination Sampling Survey in Highway and Incomplete Data Analysis." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/21014103878369021652.
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碩士國立交通大學
交通運輸研究所
84
In transportation planning, the origin-destination trip flow is the most basic data. There are many kinds of methods to investigate origin-destination trip flow, including home interview surveys and road-side interview surveys and so on. For an open network, one of the most useful method is vehicle- license-mount method. Howevre, it is not easy to progress investigating population when the traffic is heavy. This is why sampling is useful. There is only a small portion of useful information obtained in O-D survey after matching the small sampling data. So, it often turns out incomplete data. This research will build a model that does not need any distribution, discuss how to supplement the incomplete data, analyze the imputed data set and explore the extension of the samples to represent the population. The content of this paper includes treatment of incomplete data, sampling analysis and setting up an index to test the model. The results show that the pattern of sampling data is similar to that of populations. Therefore, we can gather the data by system sampling, match the data to get O- D information and impute the incomplete data if necessary, amplify the complete table to estimate the population O-D table. This process is easy to implement and cost can be lowered.
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Koller-Meinfelder, Florian [Verfasser]. "Analysis of incomplete survey data : multiple imputation via Bayesian bootstrap predictive mean matching / vorgelegt von Florian Koller-Meinfelder." 2009. http://d-nb.info/1000073157/34.
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Hsin, Che-Wei, and 辛哲瑋. "A Test of judging the number one product in a Marketing Survey: A multinomial approach for Incomplete Rank Data." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/4jwd4b.
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碩士中原大學
應用數學研究所
93
One particular area of business activity that depends on detailed sampling activities is marketing.Decision on new product to market is made on the basis of sample survey data. Data are often obtained from a face-to-face survey. A person is asked to answer a survey question may or may not be able to rank products completely according to his/her experience. The more products in survey, the more incomplete ranks in data set. This proposal catorized the data into the complete rank data and the incomplete rank data and then applies the multinomial approach to obtain reasonable estimators for all possible ranks. Consequently, a test between the different ranks of 2 products is also provided using delta method to approximate such distribution.Finally, the baseline-Categorical logit model is introduced to see if this differences is changed corresponding the chang levels of the predicted variable.
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YAO, WEI-CHE, and 姚偉哲. "Application of the Weighting Method in Incomplete Data for Factor Analysis：the Example of Student Data of the Second Wave Survey in TEPS." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/73962425382665875051.
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碩士國立臺北大學
統計學系
97
Our study is to apply weighting methods in dealing with the problem in incomplete data analysis under factor analysis, and compare with other methods for missing data. The data we used were got from the second wave Taiwan Education Panel Survey (TPES), and used structure of original missing data to make missing data of various missing proportion randomly to compare with the effects of different weighting methods among different missing proportions. Be aimed at weighting method, this study discussed numerous ways to weigh data which comprised weighting by demographic data, mental health data, and the feature of missing data under demographic data. To comparison with weighting method for each missing proportion, we observed presentation of number of factors, eigenvalue, main factor variables, and factor loading. Based on weighting method, we compared with other common method of missing data procedures as well, and weighed mental health questions in questionnaire, and then proceed with factor analysis.
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LI, Hsiu-Lei, and 黎秀蕾. "Application of the multiple imputation of Incomplete Data for Factor Analysis：the Example of Student Data of the Second Wave Survey in TEPS." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/23099376709833576232.
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碩士國立臺北大學
統計學系
97
Factor analysis is usually used to discuss the infra-structure of survey data. When the raw data has too many missing values and the missing mechanism belongs to missing at random, it will easily come out with bias inference as well as distort the correlation between variables if we only analyze the complete part of raw data without dealing with the missing values. This study is trying to find out a way to deal with those missing values which come at random. We will suggest some suitable methods to impute those missing values. The sample data of the research comes from the Student Data of the Second Wave Survey in Taiwan Education Panel Survey（TEPS）. We created five datasets which are one time up to five times of the original missing rate respectively based on the raw missing pattern. We will then apply some traditional imputation methods as well as some multiple imputation methods to fill in the missing data separately. And we tried to find out the diversity of eigen-values and factor loadings among those imputation methods by comparing with the results analyzed from the baseline. According to the finding, the multiple imputation methods are not affected by the missing rates obviously when we compared with the baseline in both eigen*values and factor loadings. And it is especially good when we round off as well as round up the imputed values for multiple imputation method. Therefore, the finding is that multiple imputation method is better than the traditional imputation method for our database.
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Douba, Alfred. "An Analysis of Risk Factors for Incomplete Immunization for Children in Côte d’Ivoire: Examination of 1998-1999 and 2011-2012 Demographic and Health Survey Data." 2015. http://scholarworks.gsu.edu/iph_theses/375.
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Background: Immunization is said to be the most effective public health intervention to prevent morbidity, complications, and mortality due to infectious disease among children. Due to the importance of vaccination in terms of infectious disease prevention, in terms of high cost-effectiveness ratio, international organizations, governments, and donors have intensified efforts to increase immunization coverage globally. Despite the efforts, thousands of children remain unimmunized or not fully vaccinated worldwide.
Objective: To identify factors associated with incomplete immunization among children in Côte d’Ivoire.
Method:The 1998-1999 and 2011-2012 Côte d’Ivoire Demography and Health Survey (DHS) data were used in this study. The included 3878 children aged 12 to 59 months with 1326 children from 1998-1999 DHS, and 2552 children from 2011-2012 DHS. Descriptive analysis was performed. Spearman’s correlation coefficient was computed to examine the relationship between variables. Univariate analysis was performed to examine the association between the dependent variable (incomplete immunization) and each independent variable using logistic regression. Variables with a p-value less than .05 in the univariate analysis were included in the multivariate analysis. Multivariate analysis was performed to determine predictors of immunization status using logistic regression (stepwise method).
Results: About 42.7% and 50.1% of Côte d’Ivoire were not fully immunized in 1998-1999 and 2011-2012, respectively. Child birth place, mothers’ access to media, mothers’ literacy, place of residence, and religion were the best predictors of incomplete immunization.
Conclusion:Health authorities in Côte d’Ivoire should take into account these immunization status predictors in order to address the issue of incomplete immunization.
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Lin, Chen-Yuan, and 溫博仕. "A study of incompletely sample data in mail survey." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/82935521256154840460.
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博士淡江大學
管理科學研究所
82
Mail survey is nowadays frequently used in collecting data in the field of social scientific study. But the greatest defect of mail survey is its low response rate, often with a percentage ranging roughly from twenty to forty percent. And because of the low response rate, there are many unreturned questionnaires that will cause nonrseponse bias which is going to affect both the representativity of the samples and the reliability of the deducing result. To heighten the response rate of mail survey can lower the influence of nonresponse bias. In fact, it is unlikely to track down each individual who does not return their questionnaires by mail, when it is put into practice. Therefore, based on Hansen and Hurwitz''s idea about partial trailing, this article provides two ways of dealing with incompletely sample data in mail survey. That is (1) To employ fixed rate , draw a traced sample size;(2) To draw a fixed amount of tracing sample size, and collect the data about those who do not return their questionnaires by either telephone or personal interview. Meanwhile, with these two and under a sensible probability distribution of the returned sample size in mail survey, use the simple random sampling and stratified random sampling to estimate both population mean and population proportion. Under the conditions of estimate accuracy, demanded by survey cost, the requirements for sampling design, the tolerable sampling error, decide the number of suitable size in mail survey and the fixed number of the samples going to be trailed in order to apply to the practice of doing survey. Finally, this thesis investigates the distribution of an actual sample size increment in stratified random sampling, and it''s expected value, and variance.