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.

 
Journal Information

Title: International Journal of Clinical Biostatistics and Biometrics

ISSN: 2469-5831

Editor-in-chief: James Michael Hardin

NLM title abbreviation: Int J Clin Biostat Biom

ISO abbreviation: Int J Clin Biostat Biom

Other titles: IJCBB

Category: Public health/Biological Science

DOI: 10.23937/2469-5831

Peer review: Double blind

Review speed: 3 weeks

Fast-track review: 10 days

Publication format (s): Electronic and print

Publication policy: Open Access; COPE guide

Publication type(s): Periodicals

Publisher: ClinMed International Library

Country of publication: USA

Language: English

Contact email: contact@clinmedjournals.org

 
Articles Search by   Keyword   |   Journal title   |   Author name   |   DOI

 

 Open Access DOI:10.23937/2469-5831/1510018

Reassessing the Effectiveness of Right Heart Catheterization (RHC) in the Initial Care of Critically Ill Patients using Targeted Maximum Likelihood Estimation

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

Partial Variable Selection and its Applications in Biostatistics

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

Improved Wald Test for Equivalence Assessment of Analytical Biosimilarity

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

Analogs of the Wilcoxon-Mann-Whitney Test When There is a Covariate

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

Bayesian Cox Proportional Hazards Model in Survival Analysis of HACE1 Gene with Age at Onset of Alzheimer's Disease

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

On Sample Size Calculation for Exact Group Sequential Tests for Rare Disease

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

A Systematic Approach to Increase Reproducibility in Simulation Studies

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

Can We Identify Patients at High Risk of Harm under a Generally Safe Intervention?

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

Inference Based on Small Randomized Oncology Clinical Trials: Is the Observed Treatment Effect True?

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

Hierarchical Bayes Approach for Analysis of Item-Level Missing Data

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

A Constrained Non-inferiority Approach for Assessing Clinical Efficacy to Establish Biosimilarity

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 require...
 

 Open Access DOI:10.23937/2469-5831/1510007

Target Frequency Analysis of functional MRI Data

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 effici...
 

 Open Access DOI:10.23937/2469-5831/1510006

Noise Analysis of Gene Regulatory Networks Using Particle Filter

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, measureme...
 

 Open Access DOI:10.23937/2469-5831/1510005

Training a Nonclinician to Become a Leader in Transdisciplinary Clinical Research: Clinical Observerships

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. Nonclinic...
 

 Open Access DOI:10.23937/2469-5831/1510004

Bayesian Survival Analysis of Genetic Variants in PTPRN2 Gene for Age at Onset of Cancer

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 c...
 

 Open Access DOI:10.23937/2469-5831/1510003

A Review of Graphical Approaches to Common Statistical Analyses. The Omnipresence of Latent Variables in Statistics

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 paramete...
 

 Open Access DOI:10.23937/2469-5831/1510002

Drug Treatment Comparison for Total Knee Replacement Surgery

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 transfu...
 

 Open Access DOI:10.23937/2469-5831/1510001

Dynamic Factor Analysis for Multivariate Time Series: An Application to Cognitive Trajectories

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...

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