Statistical analysis of the item-count technique using Stata

2019 ◽  
Vol 19 (2) ◽  
pp. 390-434
Author(s):  
Chi-lin Tsai
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Count Data ◽  
Profile Likelihood ◽  
Likelihood Estimation ◽  
Great Flexibility ◽  
Recent Developments ◽  
List Experiment ◽  
Experiment Technique ◽  
Item Count Technique

In this article, I review recent developments of the item-count technique (also known as the unmatched-count or list-experiment technique) and introduce a new package, kict, for statistical analysis of the item-count data. This package contains four commands: kict deff performs a diagnostic test to detect the violation of an assumption underlying the item-count technique. kict ls and kict ml perform least-squares estimation and maximum likelihood estimation, respectively. Each encompasses a number of estimators, offering great flexibility for data analysis. kict pfci is a postestimation command for producing confidence intervals with better coverage based on profile likelihood. The development of the item-count technique is still ongoing. I will continue to update the kict package accordingly.

Maximum Likelihood Estimation for Semiparametric Regression Models With Panel Count Data

Biometrika ◽  
2020 ◽  
Author(s):  
Donglin Zeng ◽  
D Y Lin
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Count Data ◽  
Recurrent Events ◽  
Profile Likelihood ◽  
Semiparametric Regression ◽  
Likelihood Estimation ◽  
Panel Count Data ◽  
Asymptotically Normal ◽  
Semiparametric Efficiency Bound

Abstract Panel count data, in which the observation for each study subject consists of the number of recurrent events between successive examinations, are commonly encountered in industrial reliability testing, medical research, and various other scientific investigations. We formulate the effects of potentially time-dependent covariates on one or more types of recurrent events through non-homogeneous Poisson processes with random effects. We adopt nonparametric maximum likelihood estimation under arbitrary examination schemes and develop a simple and stable EM algorithm. We show that the resulting estimators of the regression parameters are consistent and asymptotically normal, with a covariance matrix that achieves the semiparametric efficiency bound and can be estimated through profile likelihood. We evaluate the performance of the proposed methods through extensive simulation studies and present a skin cancer clinical trial.

PENENTUAN KRITERIA PENILAIAN KESAN JUMLAH LEUKOSIT PADA PEMERIKSAAN APUSAN DARAH TEPI

2018 ◽  
Vol 3 (2) ◽  
pp. 52-61
Author(s):  
Dzikra Arwie ◽  
Islawati
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Field Of View ◽  
Laboratory Observation ◽  
Number Of Cells

Leukocytes or white blood cells have a characteristic characteristic of different cells. Determination of the impression of the number of leukocytes is determined in the number of cells in the field of view. While the number of viewable field cells expressed is still quite varied. The purpose of this study was to determine the number of leukocytes in the field of view and expressed the impression of a sufficient amount. This research was conducted at the Laboratory of Health Analyst Department Panrita Husada Bulukumba on 9 April 2017 to 14 July 2017. This type of research is a laboratory observation that aims to determine the criteria for assessing the impression of the number of leukocytes on a peripheral blood smear. Data analysis using statistical analysis is the average and standard deviations to determine the impression of the number of leukocytes and use 3 inspection zones. The results of this study obtained results in zone IV the number of leukocyte impressions said to be sufficient was 7-10, in zone V the number of leukocyte impressions said to be sufficient was 4-9, and in zone VI the number of leukocyte impressions said to be sufficient was 3-8.  

Tax compliance and social desirability bias of taxpayers: experimental evidence from Indonesia

2021 ◽  
pp. 1-18
Author(s):  
Endra Iraman ◽  
Yoshikuni Ono ◽  
Makoto Kakinaka
Keyword(s):  
Experimental Evidence ◽  
Social Desirability ◽  
Tax Evasion ◽  
Tax Compliance ◽  
Computer Assisted ◽  
Social Desirability Bias ◽  
Lower Income ◽  
Tax Returns ◽  
List Experiment ◽  
Experiment Technique

Abstract Identifying taxpayers who engage in noncompliant behaviour is crucial for tax authorities to determine appropriate taxation schemes. However, because taxpayers have an incentive to conceal their true income, it is difficult for tax authorities to uncover such behaviour (social desirability bias). Our study mitigates the bias in responses to sensitive questions by employing the list experiment technique, which allows us to identify the characteristics of taxpayers who engage in tax evasion. Using a dataset obtained from a tax office in Jakarta, Indonesia, we conducted a computer-assisted telephone interviewing survey in 2019. Our results revealed that 13% of the taxpayers, old, male, corporate employees, and members of a certain ethnic group had reported lower income than their true income on their tax returns. These findings suggest that our research design can be a useful tool for understanding tax evasion and for developing effective taxation schemes that promote tax compliance.

scholarly journals Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Structural Phase ◽  
Sampling Technique ◽  
Construction Site ◽  
Data Logger ◽  
Tower Crane ◽  
Productivity Indicators

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.

scholarly journals Global media flows: A qualitative review of research methods in audio-visual flow studies

2018 ◽  
Vol 81 (6-8) ◽  
pp. 748-767
Author(s):  
Catalina Iordache ◽  
Leo Van Audenhove ◽  
Jan Loisen
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Research Question ◽  
Secondary Data ◽  
Visual Content ◽  
Global Media ◽  
Film And Television ◽  
Recent Developments ◽  
Media Flows

Recent developments in the online distribution and consumption of audio-visual content have brought relevant changes to the transnational flow of content. Thus, the need for a theoretical and methodological rejuvenation of flows research has been signalled. The aim of the present study is to analyse the different flow studies throughout time, following a series of parameters such as research question, methodology and scale of study. This article is a systematic literature review of 30 flow studies on film and television programmes, published between 1974 and 2014. The methods used by the studies are brought into focus and discussed thoroughly, in light of the method of data collection, the type of data used and the method of data analysis. Main findings show an evolution towards more detailed research, to include more contextual factors, an increased use of secondary data, as well as more focused regional and comparative studies.

scholarly journals Empowering Advanced Driver-Assistance Systems from Topological Data Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 634
Author(s):  
Tarek Frahi ◽  
Francisco Chinesta ◽  
Antonio Falcó ◽  
Alberto Badias ◽  
Elias Cueto ◽  
...  
Keyword(s):  
Data Analysis ◽  
The State ◽  
Sensor Data ◽  
Topological Data Analysis ◽  
Motion Sensors ◽  
Driver Assistance Systems ◽  
The Road ◽  
Topological Features ◽  
Recent Developments ◽  
Topological Data

We are interested in evaluating the state of drivers to determine whether they are attentive to the road or not by using motion sensor data collected from car driving experiments. That is, our goal is to design a predictive model that can estimate the state of drivers given the data collected from motion sensors. For that purpose, we leverage recent developments in topological data analysis (TDA) to analyze and transform the data coming from sensor time series and build a machine learning model based on the topological features extracted with the TDA. We provide some experiments showing that our model proves to be accurate in the identification of the state of the user, predicting whether they are relaxed or tense.

scholarly journals The Ecuadorian Amazon: A Data Analysis of Social and Educational Characteristics of the Population

2017 ◽  
Vol 9 (1) ◽  
pp. 120 ◽  
Author(s):  
Gina Valdivieso ◽  
Efstathios Stefos ◽  
Ruth Lalama
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Marital Status ◽  
National Survey ◽  
Factorial Analysis ◽  
Place Of Birth ◽  
The Social ◽  
Ecuadorian Amazon ◽  
Level Of Instruction ◽  
Descriptive Statistical Analysis

The present study describes the social and educational characteristics of the Ecuadorian Amazon population. For this purpose, the data obtained from the National Survey of Employment, Unemployment and Underemployment of 2014 was used in this research. A descriptive statistical analysis presents the frequency, the percentages and the graphs of the variables related to the area in which people live, gender, age, ethnic self-identification, language spoken, marital status and level of instruction. Other variables are the use of computer and internet, place of birth, reason why they live in the Amazon region, type of activity or inactivity, how do they feel in their jobs, and groups of occupation. Also, a factorial analysis was used to show the main and most important criteria of differentiation and the the clusters of people with similar characteristics.

scholarly journals Peningkatan Kapabilitas Karyawan dan Penerapan Budaya Baru Perusahaan dalam Mewujudkan Daya Saing

2019 ◽  
Vol 5 (2) ◽  
pp. 239
Author(s):  
Iwan Sudirlan ◽  
M Syamsul Maarif ◽  
Joko Affandi ◽  
Yandra Arkeman
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Corporate Culture ◽  
Environmental Changes ◽  
Middle Management ◽  
Survey Method ◽  
Analysis Methodology ◽  
Mission Change ◽  
World Environment ◽  
Descriptive Statistical Analysis

The rapidly changing world environment requires companies to adjust to existing conditions. Environmental changes that occur include technology, information systems, economic and political causes of the emergence of new regulations and derivatives so that industry and industry players in the implementation can run well. One telecommunication company in Indonesia in maintaining revenue and profit growth improves employee capability and application of new corporate culture in realizing competitiveness. A vision and mission change with complete comprehensive transformation with a strategy embodied in employee-driven programs based on company values. The company in transformation years periode from 2011 until 2016 hold engagement survey with main result the majority of opinions like the changes that occur. Researcher use survey method questionnaires to gather information after reborn launched from Indosat Ooredoo employees as respondents that distributed to a level of staff, managers, division heads and group heads. Descriptive statistical analysis methodology is used to analyze information that has been collected. The results data analysis of the questionnaire showed that 7 (seven) variables assessing the improvement of employee capabilities and the application of the company's new culture in realizing competitiveness showed that the seven variables affected the level of security and comfort of employees and middle management.

scholarly journals PENGARUH AKUNTABILITAS DAN TRANSPARANSI PENGELOLAAN KEUANGAN SERTA MOTIVASI TERHADAP KINERJA GURU DI SMAN 1 DAN SMAN 68 JAKARTA PUSAT

2019 ◽  
Vol 2 (2) ◽  
pp. 438
Author(s):  
Hadijah Sanadi
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Financial Management ◽  
Teacher Performance ◽  
Research Approach ◽  
Analysis Technique ◽  
Saturated Sample ◽  
Positive Effect ◽  
Dominant Influence

This study aims to understand accountability and improve financial management as well as partial and simultaneous motivation for teacher performance in SMAN 1 dan SMAN 68 Jakarta. The research approach is a quantitative and associative quantitative approach. Data obtained using a questionnaire. The population is 82 teachers of SMAN 1 and SMAN 68, Central Jakarta, using saturated sample techniques. Data analysis technique is statistical analysis of multiple linear regression. The results of the study, partially the accountability variable has a positive effect on teacher performance. Transparency variable does not significantly influence teacher performance. The motivation variable partially has a significant effect on performance. Simultaneously the accountability, transparency and motivation variables significantly influence teacher performance. The ability of accountability, transparency, and motivation to explain changes in teacher performance is 58.4%. Among the three variables that most dominant influence teacher performance is motivation, thus motivation is very helpful for teachers in improving their performance.

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