Bayesian statistics in oncology: a guide for the clinical investigator

The rise of evidence-based medicine as well as important progress in statistical methods and computational power have led to a second birth of the >200-year-old Bayesian framework. The use of Bayesian techniques, in particular in the design and interpretation of clinical trials, offers several substantial advantages over the classical statistical approach. First, in contrast to classical statistics, Bayesian analysis allows a direct statement regarding the probability that a treatment was beneficial. Second, Bayesian statistics allow the researcher to incorporate any prior information in the analysis of the experimental results. Third, Bayesian methods can efficiently handle complex statistical models, which are suited for advanced clinical trial designs. Finally, Bayesian statistics encourage a thorough consideration and presentation of the assumptions underlying an analysis, which enables the reader to fully appraise the authors' conclusions. Both Bayesian and classical statistics have their respective strengths and limitations and should be viewed as being complementary to each other; we do not attempt to make a head-to-head comparison, as this is beyond the scope of the present review. Rather, the objective of the present article is to provide a nonmathematical, reader-friendly overview of the current practice of Bayesian statistics coupled with numerous intuitive examples from the field of oncology. It is hoped that this educational review will be a useful resource to the oncologist and result in a better understanding of the scope, strengths, and limitations of the Bayesian approach.

Migrant Background and Higher Education Participation in Europe. The Effect of the Educational Systems

The main aim of this article is to shed light on the extent to which differences in higher education participation between people with and without a migrant background of low/higher social origin can be explained by two macro-level characteristics of national educational institutions: stratification of the secondary school system and provision of alternative access to higher education. General assumptions are that people with a migrant background of low social origin benefit in low-stratified secondary school systems and in systems that provide alternative access to institutions of higher education more than their native peers in the same social stratum, owing to primary and secondary effects of migrant background. Database is a pooled dataset of the five waves of the European Social Survey. Results of logistic multi-level analyses indicate that a low-stratified secondary school system improves the probability of people with a migrant background/low social origin attaining a higher education degree. On the other hand, a stratified secondary school system reduces their chances regarding this educational stage. The provision of alternative access to an institution of higher education improves their likelihood of becoming higher education graduates.

National assessment of educational progress, 1985-86 : mathematics achievement and classroom instructional activities /

Item 455-G-9

Occupational employment survey booklet of definitions : educational services.

"BLS-2877 182."

NAEP 1996 science report card for the nation and the states : findings from the National Assessment of Educational Progress /

Mode of access: Internet.

Estimating educational attainment of future employment demand for states /

"New York State Department of Labor, Division of Research and Statistics, Bureau of Labor Market Information."

National longitudinal study of the high school class of 1972 : sample design efficiency study: effects of stratification, clustering, and unequal weighting on the variances of NLS statistics /

Project officer: William B. Fetters.

Labor force characteristics and educational attainment : education and earnings /

"NCES 80-314."

Educational Attainment of Workers : March 1981 /

Special Labor Force Report

Evaluating an Educational Module for Training Predoctoral Dental Students in Pediatric Dentistry

Thesis (Master's)--University of Washington, 2016-06

Content-based VLE designs improve learning efficiency in constructivist statistics education

Background: We introduced a series of computer-supported workshops in our undergraduate statistics courses, in the hope that it would help students to gain a deeper understanding of statistical concepts. This raised questions about the appropriate design of the Virtual Learning Environment (VLE) in which such an approach had to be implemented. Therefore, we investigated two competing software design models for VLEs. In the first system, all learning features were a function of the classical VLE. The second system was designed from the perspective that learning features should be a function of the course's core content (statistical analyses), which required us to develop a specific-purpose Statistical Learning Environment (SLE) based on Reproducible Computing and newly developed Peer Review (PR) technology. Objectives: The main research question is whether the second VLE design improved learning efficiency as compared to the standard type of VLE design that is commonly used in education. As a secondary objective we provide empirical evidence about the usefulness of PR as a constructivist learning activity which supports non-rote learning. Finally, this paper illustrates that it is possible to introduce a constructivist learning approach in large student populations, based on adequately designed educational technology, without subsuming educational content to technological convenience. Methods: Both VLE systems were tested within a two-year quasi-experiment based on a Reliable Nonequivalent Group Design. This approach allowed us to draw valid conclusions about the treatment effect of the changed VLE design, even though the systems were implemented in successive years. The methodological aspects about the experiment's internal validity are explained extensively. Results: The effect of the design change is shown to have substantially increased the efficiency of constructivist, computer-assisted learning activities for all cohorts of the student population under investigation. The findings demonstrate that a content-based design outperforms the traditional VLE-based design. © 2011 Wessa et al.

Exploring Perceptions of Middle Class Urban Indian Women Regarding Socio-Cultural Deterrents Influencing Participation in Adult and Continuing Educational Programs

Unlike its childhood counterpart, adult and continuing education is a voluntary activity, where adult learners partake in educational programs for the sake of realizing some explicit or implicit goal. The purpose of this study was to explore the association between socio-cultural influences and deterrents to participation of middle class urban Indian women in adult and continuing educational programs. Darkenwald and Merriam’s (1982) theory of non-participation was selected as the theoretical lens used to guide this study. This study involved collecting qualitative data to analyze participant views and was collected through 16 semi-structured interviews to explore participants’ individual perceptions concerning socio-cultural deterrents influencing participation of middle class urban Indian women in adult and continuing educational programs. Qualitative data were analyzed to discover emerging themes and sub-themes. In the second phase of the study, a modified Deterrent to Participation Scale – General (DPS-G) was used to measure data collected from the surveys completed by participants, that included specific demographic questions. Descriptive statistics were used to examine the relationships between the demographic questions and the deterrent identified on the DPS-G. The interview and survey data were used convergently to understand the relationship between socio-cultural influences and deterrents impacting participant participation in adult and continuing educational programs. The findings of the study indicated that the biggest socio-cultural influence deterring participation among middle class urban Indian women in adult and continuing educational programs is marriage. It is an Indian social norm that comes with a set of pre-defined roles and expectations, and married women find themselves consumed by fulfilling the marital and familial expectations and responsibilities and participation in adult and continuing educational program is furthest from their mind. Middle class urban Indian women do realize the importance of educational pursuits, but do not feel that they can, after marriage. They are open, however, to pursuing adult educational programs in the form of short-term skill development programs leading to income generation, although they would lead primarily to home-based work enterprises.

Relevant Aspects on Teaching Probability and Statistics in Basic General Education

Probability and Statistics were included in the Basic General Education curricula by the Ministry of Public Education (Costa Rica), since 1995. To analyze the teaching reality in these fields, a research was conducted in two educational regions of the country: Heredia and Pérez Zeledón. The survey included university training and updating processes of teachers teaching Statistics and Probability in the schools. The research demonstrated the limited university training in these fields, the dissatisfaction of teachers about it, and the poor support of training institutions to their professional exercise.