International Journal of Clinical Biostatistics and Biometrics is an international, peer reviewed, open access journal on conceptual, constructive, experimental, computational, investigational, or theoretical work in all areas of biostatistics and biometrics. The Journal provides the authors with a great platform for publication of their work and for the exchange of their ideas. We aim to publish highest quality clinical content via open access platform providing the readers without charge, immediate and unlimited access.
International Journal of Clinical Biostatistics and Biometrics publishes articles on Data Modeling, Bayesian Probability, Bioinformatic Methods, Biological Experimental Data Modeling, Biostatistic Theory and Methods, Climate and Environmental Data Modeling, Clinical Study Design and Analysis, Clinical Trials and Assessment Methods, Computational Biology, Distribution and Modeling of Disease Dynamics, Epidemiological Data Modeling and Analysis, Evolution and Population Genetics, Genetics and Genetic Epidemiology, Health Services Research and Assessment, Mathematical Biology, Medical Imaging Data Modeling, Pain Management Anesthesia, Public Health and Healthcare Evaluation, Public Health Policy Research, Statistical Computation and Applications, etc. All articles published in the journal are subject to a rigorous peer review process.
Articles Search by Keyword | Journal title | Author name | DOI
Open Access DOI:10.23937/2469-5831/1510022
Ilker Etikan, Ogunjesa Babatope, Kabiru Bala and Savas Ilgi
Article Type: Research Article | First Published: September 30, 2019
According to the United Nations Sustainable Development Goals, countries all over the world are expected to create a healthy living environment for the populace most especially the vulnerable population of which children are examples. Despite the reducing trend in the under-five mortality rate in some developing nations, some nations still have a high record of under-five mortality. This study adopted the use of a One-way Analysis of Variance (ANOVA) to evaluate any significant difference in the...
Open Access DOI:10.23937/2469-5831/1510021
Dejian Lai, Ahmed A Arif, Haiyun Xu and George L Delclos
Article Type: Original Research article | First Published: April 29, 2019
Statistical classification analysis has been widely used in many fields. In this article, we applied and compared three different classification procedures: Logistic regression, Fisher''s linear discriminant function and the second order Bahadur representation to two datasets from two surveys on asthma among healthcare professional in Texas. The first dataset contained 102 subjects and the second dataset 2963. The concordance of the classification from the three statistical procedures with possi...
Open Access DOI:10.23937/2469-5831/1510020
Khalid A Salah
Article Type: Research Article | First Published: March 25, 2019
We propose to approximate a model for repeated measures that incorporated random effects, correlated stochastic process and measurements error. The stochastic process used in this paper is the Integrated Ornstein-Uhlenbeck (IOU) process. We consider a Bayesian approach which is motivated by the complexity of the model, thus, we propose to approximate the IOU stochastic process into a continuous spatial model that constructed by convolving a very simple and independent, process with a kernel func...
Open Access DOI:10.23937/2469-5831/1510019
Xiaoyong Wu, Jayesh P Rai, Guohua Yan, Srivastava DK and Shesh N Rai
Article Type: RESEARCH ARTICLE | First Published: March 04, 2019
Assessing the performance of diagnostic tests for repeated binary measurements is very important in clinical trials and diagnostic medicine. The gastric-emptying studies involve 4-hourly measurements of emptying. Empirical results suggest that the gastric emptying results over time are correlated and therefore failure to consider the correlation in statistical measures may not produce satisfactory assessments. If these measurements are highly correlated/associated, early gastric emptying can be ...
Open Access DOI:10.23937/2469-5831/1510018
Hai Zhu, Mary Akosile, Shuqin Zhang, Nils P Johnson, Dejian Lai and Hongjian Zhu
Article Type: Research Article | First Published: July 28, 2018
Right heart catheterization (RHC) is a well-established diagnostic tool for patients with congenital and acquired right heart disease and to actively monitor critically ill patients in the intensive care unit. Notably, previous randomized controlled trials and observational studies provide limited support for the clinical utilization of RHC in critically ill patients. However, traditional statistical methods incorporating propensity scores rely heavily on potentially invalid parametric assumptio...
Open Access DOI:10.23937/2469-5831/1510017
Jingwen Gu, Ao Yuan, Chunxiao Zhou, Leighton Chan and Ming T Tan
Article Type: Research Article | First Published: April 14, 2018
We propose and study a method for partial covariates selection, which only select the covariates with values fall in their effective ranges. The coefficients estimates based on the resulting data is more interpretable based on the effective covariates. This is in contrast to the existing method of variable selection, in which some variables are selected/deleted in whole. To test the validity of the partial variable selection, we extended the Wilks theorem to handle this case. Simulation studies ...
Open Access DOI:10.23937/2469-5831/1510016
Yu-Ting Weng, Yi Tsong, Meiyu Shen and Chao Wang
Article Type: Research Article | First Published: March 15, 2018
The equivalence test in analytical similarity assessment uses a margin of 1.5 times of the standard deviation of a reference product. In the current practice, the standard deviation, estimated from study data, is considered as a fixed constantin the margin....
Open Access DOI:10.23937/2469-5831/1510015
Rand R Wilcox
Article Type: Research Article | First Published: December 22, 2017
Certainly the best-known method for making inferences about p is the Wilcoxon-Mann-Whitney (WMW) test. It is well known, however, that under general conditions, the WMW method uses an incorrect estimate of the standard error. Numerous methods have been derived for dealing with this issue....
Open Access DOI:10.23937/2469-5831/1510014
Ke-Sheng Wang, Ying Liu, Shaoqing Gong, Chun Xu, Xin Xie, Liang Wang and Xingguang Luo
Article Type: Research Article | First Published: December 01, 2017
Alzheimer's Disease (AD), the most common form of dementia, is a chronic neurodegenerative disease. The HECT domain and ankyrin repeat containing E3 ubiquitin protein ligase 1 (HACE1) gene is expressed in human brain and may play a role in the pathogenesis of neurodegenerative disorders....
Open Access DOI:10.23937/2469-5831/1510013
Man Jin and James L Kepner
Article Type: Research Article | First Published: October 09, 2017
For a rare disease, all the patients having the disease constitute a small population, and the standard single-stage hypergeometric test is uniformly most powerful to evaluate the response probability of a specific treatment regimen....
Open Access DOI:10.23937/2469-5831/1510012
Xiaoyong Wu and Shesh N Rai
Article Type: Research Article | First Published: October 07, 2017
Reproducibility of results in simulation studies plays a key role in statistical science. Although P-value occupies a prominent place for determining statistical significance in replicate studies, there is always possibility of extra variability across samples leading to irreproducible results. Recently, Halsey, et al....
Open Access DOI:10.23937/2469-5831/1510011
Gerd K Rosenkranz
Article Type: Research Article | First Published: September 23, 2017
Personalized medicine today is primarily addressing efficacy. Here we investigate and illustrate the role that precision medicine could play in drug safety by supporting the identification of subjects at high risk of harm by an otherwise safe and efficacious treatment. Predicting potential harm requires high sensitivity of a classification rule....
Open Access DOI:10.23937/2469-5831/1510010
Joyce Cheng, Hui Zhang, Shenghui Tang and Rajeshwari Sridhara
Article Type: Original Article | First Published: May 20, 2017
The drug development paradigm in oncology has changed in recent times as developments in science and technology have led to more targeted therapies. Drug products are receiving marketing approvals based on single randomized studies enrolling 100-200 patients, including early phase (phase II) clinical trials....
Open Access DOI:10.23937/2469-5831/1510009
Junshan Qiu and Ram Tiwari
Article Type: Research Article | First Published: June 30, 2016
Missing data are primarily due to dropout which can be categorized into different types based on its relation to the response process. For simplicity, it is generally assumed that the relation between a specific type of dropout and the response process can be described using a single (indicator) random variable. In case of distinct types of dropout, it is natural to use the multinomial indicator variables to model the dropout....
Open Access DOI:10.23937/2469-5831/1510008
Jason JZ Liao
Article Type: Research Article | First Published: December 3, 2015
To develop a biosimilar product, it is necessary to demonstrate biosimilarity between the proposed biosimilar product and the reference product in terms of the purity, potency, efficacy, and safety. In this paper, clinical efficacy data required for establishing biosimilarity are considered. Non-inferiority (NI) and equivalence methods are commonly used for analyzing clinical trials to meet this requirement. The equivalence approach often requires large, costly, and lengthy clinical trials....
Open Access DOI:10.23937/2469-5831/1510007
Michael A. Frolich, Paul Jung and Shannon Starr
Article Type: Research Article | First Published: November 2, 2015
The field of functional magnetic resonance imaging (fMRI) has grown in usage, applications, and complexity. The results of a general linear model (GLM) analysis vary from one investigator to another as they depend on image preprocessing, model choices and physiological assumptions. There is a need for a simple, efficient and consistent analysis method. Methods: We propose the target frequency analysis (TFA) as an intuitive, computationally efficient method to analyze data from block design fMRI ...
Open Access DOI:10.23937/2469-5831/1510006
Haixin Wang and Dawit Aberra
Article Type: Original Article | First Published: October 03, 2015
One of the most important properties in gene expression is the stochasticity. Gene expression process is noisy and fluctuant. In this paper, the noise of gene regulatory networks (GRNs) using polynomial model and S-system model is analyzed by proposed approach on the basis of particle filter. The measurement noise and process noise are analyzed to test noise effects on the synthetic GRNs. The relation among Root Mean Square (RMS) error, measurement noise, and system noise covariance is analyzed....
Open Access DOI:10.23937/2469-5831/1510005
Douglas D Gunzler, James C Spilsbury, Michael Fu, Susannah Rose, Neal V Dawson, Shirley Moore and Thomas E Love
Article Type: Original Article | First Published: September 28, 2015
As institutions and funders expand their efforts toward multi-disciplinary, interdisciplinary, and even transdisciplinary research, there is a substantial need for scientists who can lead such efforts. The traditional image of a leader of transdisciplinary clinical research is a quantitatively savvy clinician conducting research at some point along the continuum from the 'bench to the bedside'. However, this is not the only alternative. Nonclinician scientists can also provide effective leadersh...
Open Access DOI:10.23937/2469-5831/1510004
Ke-Sheng Wang, Yue Pan, Weize Wang and Chun Xu
Article Type: Research Article | First Published: September 9, 2015
The protein tyrosine phosphatase, receptor type, N polypeptide 2 (PTPRN2) gene may play a role in cancer; however, no study has focused on the associations of genetic variants within the PTPRN2 gene with age at onset (AAO) of cancer. Methods: This study examined 220 single nucleotide polymorphisms (SNPs) within the PTPRN2 gene in the Marshfield sample with 716 cancer cases (any diagnosed cancer, excluding minor skin cancer) and 2,848 non-cancer controls. Multiple logistic regression model and li...
Open Access DOI:10.23937/2469-5831/1510003
Emil N. Coman, L. Suzanne Suggs, Maria Coman and Eugen Iordache and Judith Fifield
Article Type: Review Article | First Published: September 4, 2015
We provide a comprehensive review of simple and advanced statistical analyses using an intuitive visual approach explicitly modeling Latent Variables (LV), likely to better illuminate what is assumed in each analytical method and what is actually estimated, by translating the causal relationships embedded in the graphical models in equation form. We recommend the graphical display rooted in the century old path analysis, that details all parameters of each statistical model, and suggest labeling...
Open Access DOI:10.23937/2469-5831/1510002
Kevin Soderholm and Rhonda Magel
Article Type: Research Article | First Published: September 02, 2015
Data from over 2000 patients receiving knee replacement surgery was gathered from a hospital system in the Midwestern United States. The age group that each patient belonged to was noted, under age 65 or 65 years of age and older, as well as their gender. A variety of drugs in each of three drug categories was studied as to their association with total hospital cost, length of stay, prevalence of early readmissions and prevalence of blood transfusions. The drug categories included spinal blocks,...
Open Access DOI:10.23937/2469-5831/1510001
Yorghos Tripodis and Nikolaos Zirogiannis
Article Type: Research Article | First Published: August 28, 2015
We propose a dynamic factor model appropriate for large epidemiological studies and develop an estimation algorithm which can handle datasets with large number of subjects and short temporal information. The algorithm uses a two cycle iterative approach for parameter estimation in such a large dataset. Each iteration consists of two distinct cycles, both following an EM algorithm approach. This iterative process will continue until convergence is achieved. We utilized a dataset from the National...
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