{"title":"Chance or Causality in Human Genetics?","authors":"D. Galton","doi":"10.33552/abba.2019.03.000559","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000559","url":null,"abstract":"Deciding whether events are due to causal effects or only arise by chance is one of the most important judgements to make in the research laboratory (and possibly in daily life as well). In genetics random events are supposed to occur at the separation of alleles into germ cells at meiosis and at fusion of germ cells during fertilization; and causal events occur with diseases arising from a point mutation such as cystic fibrosis or sickle cell anemia. Is there a real difference in the results of paired replicate experiments compared with controls or is it just due to random events or chance? Random events may of course only seem so due to incomplete information about the process under study.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114153018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factor Analysis of Meteo-parameters on the Stage of Growth of Birch Leaves","authors":"P. Mazurkin","doi":"10.33552/abba.2019.03.000558","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000558","url":null,"abstract":"In different parts of the Earth at weather stations accumulated a lot of time series, for example, on various parameters of air in the surface layer. One of the conditions for further development of meteorology is the identification of stable regularities [1-9] on the basis of accumulated statistical data at meteorological stations. And these patterns allow you to better understand the past and predict certain possible behaviors of people making decisions. At the same time, our method of identification of the General wavelet equation (solitary wave) from the measured statistical data will allow to Supplement and clarify the climate mitigation scenarios up to 2100, described in article [1]. Another condition will be the identification of the scenarios of human behavior by their quantitative data of the dynamics of each factor taken into account by their reliability. In this case, only those scenarios for which the wave equations of high adequacy will be obtained will be reliable. The water regime of meadows [3,4] and carbon dynamics in Europe [5] change according to wavelets of universal design [2].","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127707324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On Some One Parameter Lifetime Distributions and their Applications","authors":"R. Shanker","doi":"10.33552/abba.2019.03.000556","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000556","url":null,"abstract":"The time to the occurrence of event of interest is known as lifetime or survival time or failure time in reliability analysis. The event may be failure of a piece of equipment, death of a person, development (or remission) of symptoms of disease, health code violation (or compliance). The modeling and statistical analysis of lifetime data are crucial for statisticians and research workers in almost all applied sciences including engineering, medical science/ biological science, insurance and finance, amongst others. The classical lifetime distribution namely exponential distribution and Lindley distribution introduced by Lindley (1958) distribution are popular in statistics for modeling lifetime data. But these two classical lifetime distributions are not suitable from theoretical and applied point of view. Shanker et al (2015) have done a critical and comparative study regarding the modeling of lifetime data using both exponential and Lindley distributions and found that there are several lifetime data where these classical lifetime distributions are not suitable due to their shapes, hazard rate functions and mean residual life functions, amongst others. Recently, a number of one parameter lifetime distributions have been introduced by Shanker, namely Shanker, Akash, Rama, Suja, Sujatha, Amarendra, Devya, Shambhu, Aradhana, and Akshya, respectively. The probability density function (pdf), cumulative distribution function (cdf) one parameter lifetime distributions along with their introducer and years are presented in the following Table 1.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Special Solution of the Schrödinger Equation: Realizations of the Solution of the Total Schrödinger Equation from the Link between Relativity and Quantum Mechanics","authors":"Mohamed Daris","doi":"10.33552/abba.2019.03.000555","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000555","url":null,"abstract":"The solution of the Schrödinger equation that we exploit is based on the connection between quantum mechanics and relativity that we already exploit in another subject that gives us a new equation that is a function of the function of It is at this level that we have tried to derive this solution because this link is the basis of all practical solutions and systems. We have tried to calculate the function of the solution which is continuous normal and according to the wave function it allows a global study and localization of the solution to allow passing to other more important and more complex level [1-4].","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124001324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utility-Based Dose-Finding in Practice: Some Empirical Contributions and Recommendations","authors":"Jihane Aouni","doi":"10.33552/abba.2019.03.000552","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000552","url":null,"abstract":"selection. The selection of doses (number and spacing) is also discussed in terms of sensitivity of the framework to such aspects; the properties of the operating characteristics in this respect are explored. On the other hand, we assess, through simulations, the influence of phase II sample size, based on the relative utility loss criterion, and we compare different (fixed, adaptive) designs based on the suggested stopping criteria for interim analysis. This section is complemented by an analysis example based on a real dose-find ing study. Finally, the Discussion and Conclusions section consists in summarizing our decision-making framework (decision rules for dose selection, and decision criteria for phase II recommendations and interim analysis). Abstract Aspects related to dose-finding trials are of major importance in clinical development. Poor dose selection has been recognized as a key driver of failures in late phase development programs and postponements in drug approvals. The aim of this paper is to develop a flexible utility-based dose selection framework for phase II dose-finding studies that has satisfactory operating characteristics. This framework also allows to plan interim analyses with stopping rules that can be easily defined and interpreted by the clinical team within this same framework.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130474161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Cot-X Family of Distributions with Applications","authors":"C. Ampadu","doi":"10.33552/abba.2019.03.000551","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000551","url":null,"abstract":"Statistical distributions arising from trigonometric functions have populated the literature, and for example, see [1-4]. On the other hand, the T-X(W) family of distributions appeared in [5], and in the special case the random variable T has support [0, ∞), and the weight function is given by ( ) , 1 x W x x = − , we get the so-called Odds T-X family of distributions with the following integral representation for its CDF","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128314272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling Colinearity in the Presence of Non–Normal Error: A Robust Regression Approach","authors":"A. Babalola","doi":"10.33552/abba.2019.02.000549","DOIUrl":"https://doi.org/10.33552/abba.2019.02.000549","url":null,"abstract":"Multicollinearity and non-normal errors, which lead to unwanted effect on the least square estimator, are common problems in multiple regression models. It would therefore seem important to combine estimation techniques for addressing these problems. In the presence of multicollinearity and non-normal errors, different estimation techniques were examined, namely, the Ordinary Least Squares (OLS), Ridge Regression (R), Weighted Ridge regression (WR), Robust M-estimation (M), and Robust Ridge Regression with emphasis on M-estimation (RM). When compared with the condition of Collinearity, the results of a simulated study shows that Robust Ridge (RM) provides a more efficient estimate then the other estimators considered. When both Collinearity and non-normal errors were considered, the M-estimators (M) produces a more efficient and precise estimates.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123151059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perception about Bacterial Vaginosis: A Common Vaginal Infection","authors":"O. Maxwell, A. Chukwu","doi":"10.33552/abba.2019.02.000546","DOIUrl":"https://doi.org/10.33552/abba.2019.02.000546","url":null,"abstract":"The objective of the study was the perception of Bacterial vaginosis amongst female residents of Lagos State, Nigeria. Bacterial vaginosis is the most common vaginal infection found in women of reproductive age, caused by an imbalance in the natural vaginal flora. 200 women participated in the study, of which 132 women representing 69% of the participants have experienced Bacterial vaginosis at some point. 52 women had symptoms ranging from smelly vagina discharge after sexual intercourse to grey or whitish vaginal discharge. The women identified vaginal douching as the major risk factor of Bacteria vaginosis. 51.43% of the participants responded to have treated Bacterial vaginosis using Metronidazole (Flagyl).","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133676922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}